Amazon Vendor Central Traffic Report Insights

Data-driven customer engagement and sales growth with Vendor Central Traffic analysis

Traffic reports for Amazon Vendor Central contain valuable information for understanding customer interest and demand for various products.

Here is how Amazon describes the Vendor Central Traffic Report;

Quickly identify changes in relevant traffic-related metrics

That description does not do the report justice! Let’s dig in and help Amazon out. 😊

What Is The Vendor Central Traffic Report?

The Traffic Report analyses the views your ASINs get on Amazon. The key metric in the report is “Glance Views,” which are the number of views the product detail page receives from our customers on the Amazon website.

The report allows vendors to analyze trends, which allows you to identify high and low-traffic products. You can then optimize activities such as running Amazon Ads, supporting marketing activities like targeted emails to increase traffic, or setting up promotions to convert high views to more sales.

Vendor Central Real-Time Traffic Data? Yes!

Unlike traditional Traffic Reports, Amazon released Rapid Retail Analytics, an hourly stream of real-time traffic, sales, and inventory data. The real-time data offers unparalleled access to ASIN-level to generate insights into customer activity on Amazon.

Amazon Rapid Retail Analytics: New API for Real-time Metrics

What are the benefits of the Amazon Vendor Central Traffic Reports?

The data is focused on providing insights into customer traffic (measured through glance views) for a specific set of products under the brand in the specific Amazon marketplaces. The data can be used for product visibility analysis, customer interest, and potential areas for marketing and sales strategy optimization.

Since the Traffic Report focuses on trends at an ASIN level, it allows vendors to assess traffic levels, seasonal variations, and brand/product performance. Vendors can link the Traffic Report data to other ASIN-specific data sets like Vendor Sales, Inventory, or Amazon Advertising reports like the Sponsored Products Advertised product report or Sponsored Brands Attributed Purchases report.

The following are typical analytics use cases:

  • Traffic Measurement: These reports track customer traffic to product pages (glance views or GVs).
  • Performance Analysis: They help in understanding how different factors contribute to traffic and, subsequently, to sales performance.
  • Identifying Opportunities: By analyzing traffic data, vendors can identify trends, opportunities for improvement, and strategies that are working.
  • Strategic Insights: Vendors can refine their marketing and sales strategies by analyzing traffic data.
  • Operational Adjustments: The insights can lead to adjustments in inventory, pricing, and promotions.
  • Benchmarking and Trend Analysis: Vendors can benchmark their performance against past data or industry standards and spot trends.

What Data Is Included In The Vendor Central Forecasting Report?

The Traffic Report you’ve provided contains the following columns, based on the first few rows:

  1. Distributor View: This column lists the ASIN (Amazon Standard Identification Number), which uniquely identifies each product listed on Amazon.
  2. View By [ASIN]: This column provides the product title, clearly identifying each product associated with the ASIN.
  3. Countries: This indicates the country for which the traffic data is applicable.
  4. Businesses: This column represents the business unit or the specific brand under which the products are listed.
  5. Locale: Account locale.
  6. Glance Views: This is a crucial metric, showing the number of views each product detail page received. It’s vital for analyzing customer interest and traffic.

Using Traffic Reports With Amazon Advertising Reports

As a stand-alone data set, Traffic reports offer vital insights to vendors. However, pairing Traffic reports with other ASIN-level data sets starts to expand insights opportunities.

For example, you can join your Traffic Report with the Amazon Ads Sponsored Products Advertised product report. You can use the ‘Advertised ASIN’ from the Advertising Report and the ‘ASIN’ from the Traffic Report as the keys to join.

You can enhance your visibility in performance drivers with these two data sets. Here are a few examples;

  • Effectiveness of Advertising Campaigns: Assess how advertising impacts glance views and sales.
  • Conversion Analysis: Compare impressions and clicks from the Advertising Report with glance views and sales data to calculate and understand conversion rates.
  • Cost-Benefit Analysis: Analyze the ACOS and ROAS about traffic and sales to understand the financial efficiency of advertising campaigns.
  • Product-Level Insights: Determine which products perform well in organic and paid channels.
  • Temporal Trends: Evaluate how advertising campaigns affect traffic and sales over specific periods.:
  • Correlation Analysis: Examine the relationship between advertising metrics (like clicks and impressions) and traffic/sales metrics.
  • ROI Analysis: Compare advertising spending against the increase in sales or glance views.
  • Segmentation and Pattern Recognition: Identify which types of products, campaigns, channels, or periods are most effective.

While our example focused on traffic reports + sponsored products and advertised product reports, you can extend this further to include other ad reports for sponsored display, sponsored brand, or sponsored product reports. Why stop there? Extend the analysis further with off-Amazon data sets like ASIN-level promotional emails, social media posts, or third-party ad platforms like Google Ads or Facebook.

For a deep dive into more examples, see our post about how to harness the power of your Amazon data:

Unleashing Business Insights With Amazon Rapid Retail Analytics

How To Access Vendor Central Traffic Reports?

Vendors have two primary paths to access reports: manual downloads or API automation.

Manual downloading occurs in your Vendor Central account interface. Automation taps into the Amazon Selling Partner API (Amazon SP-API) to automate report processing and storage in a cloud warehouse or data lake (see the Amazon docs here).

Manual Access via Vendor Central:

  1. Login: First, sellers must log into their Amazon Vendor Central account.
  2. Navigate to Reports: Usually found in the main navigation bar, this section contains various sales, inventory, and performance reports.
  3. Locate the ‘Traffic’ Within the Reports section.
  4. Select Date Range: Amazon allows sellers to pull reports based on specific dates. Choose the desired range.
  5. Download: Once the report has been generated, there will typically be an option to download it. The report is often available in different formats .csv or .xls.

Note: Manual downloads are more time-consuming and may not be ideal for frequent and up-to-date data analytics.

Automating Vendor Central Data:

The Amazon Selling Partner API (SP-API) allows for direct, automated access to Amazon forecasting data, making it easier for businesses to integrate it into their systems. Openbridge allows Amazon Vendors to save time manually downloading reports, increasing data velocity and reducing errors in messy merging and tracking downloaded reports.

Unlock Effortless Traffic Insights With Our Code-Free Amazon Integration

Are you struggling with complex, messy traffic report data management for Vendor Central? Say goodbye to the hassle. Openbridge offers a seamless, automated solution that unifies your data into a private, trusted data warehouse or data lake like Amazon Redshift, Databricks, Google BigQuery, and more — all without a single line of code.

Openbridge automation extends beyond inventory to a broad collection of Amazon and non-Amazon data sources;

Automate And Unify Your Vendor Central Data — Free For 30 Days

Start your journey towards data-driven growth and profit with Openbridge. Our code-free, fully automated Selling Partner API integration simplifies your Amazon Vendor Central operations.

Ready to harness the power of your Amazon traffic data?

Sign Up Now for Your Free 30-day Trial For Vendor Central Traffic Report Automation.


Amazon Vendor Central Traffic Report Insights was originally published in Openbridge on Medium, where people are continuing the conversation by highlighting and responding to this story.



from Openbridge - Medium https://ift.tt/KG0CLSF
via IFTTT

Amazon Vendor Central Traffic Report Insights

Data-driven customer engagement and sales growth with Vendor Central Traffic analysis

Traffic reports for Amazon Vendor Central contain valuable information for understanding customer interest and demand for various products.

Here is how Amazon describes the Vendor Central Traffic Report;

Quickly identify changes in relevant traffic-related metrics

That description does not do the report justice! Let’s dig in and help Amazon out. 😊

What Is The Vendor Central Traffic Report?

The Traffic Report analyses the views your ASINs get on Amazon. The key metric in the report is “Glance Views,” which are the number of views the product detail page receives from our customers on the Amazon website.

The report allows vendors to analyze trends, which allows you to identify high and low-traffic products. You can then optimize activities such as running Amazon Ads, supporting marketing activities like targeted emails to increase traffic, or setting up promotions to convert high views to more sales.

Vendor Central Real-Time Traffic Data? Yes!

Unlike traditional Traffic Reports, Amazon released Rapid Retail Analytics, an hourly stream of real-time traffic, sales, and inventory data. The real-time data offers unparalleled access to ASIN-level to generate insights into customer activity on Amazon.

Amazon Rapid Retail Analytics: New API for Real-time Metrics

What are the benefits of the Amazon Vendor Central Traffic Reports?

The data is focused on providing insights into customer traffic (measured through glance views) for a specific set of products under the brand in the specific Amazon marketplaces. The data can be used for product visibility analysis, customer interest, and potential areas for marketing and sales strategy optimization.

Since the Traffic Report focuses on trends at an ASIN level, it allows vendors to assess traffic levels, seasonal variations, and brand/product performance. Vendors can link the Traffic Report data to other ASIN-specific data sets like Vendor Sales, Inventory, or Amazon Advertising reports like the Sponsored Products Advertised product report or Sponsored Brands Attributed Purchases report.

The following are typical analytics use cases:

  • Traffic Measurement: These reports track customer traffic to product pages (glance views or GVs).
  • Performance Analysis: They help in understanding how different factors contribute to traffic and, subsequently, to sales performance.
  • Identifying Opportunities: By analyzing traffic data, vendors can identify trends, opportunities for improvement, and strategies that are working.
  • Strategic Insights: Vendors can refine their marketing and sales strategies by analyzing traffic data.
  • Operational Adjustments: The insights can lead to adjustments in inventory, pricing, and promotions.
  • Benchmarking and Trend Analysis: Vendors can benchmark their performance against past data or industry standards and spot trends.

What Data Is Included In The Vendor Central Forecasting Report?

The Traffic Report you’ve provided contains the following columns, based on the first few rows:

  1. Distributor View: This column lists the ASIN (Amazon Standard Identification Number), which uniquely identifies each product listed on Amazon.
  2. View By [ASIN]: This column provides the product title, clearly identifying each product associated with the ASIN.
  3. Countries: This indicates the country for which the traffic data is applicable.
  4. Businesses: This column represents the business unit or the specific brand under which the products are listed.
  5. Locale: Account locale.
  6. Glance Views: This is a crucial metric, showing the number of views each product detail page received. It’s vital for analyzing customer interest and traffic.

Using Traffic Reports With Amazon Advertising Reports

As a stand-alone data set, Traffic reports offer vital insights to vendors. However, pairing Traffic reports with other ASIN-level data sets starts to expand insights opportunities.

For example, you can join your Traffic Report with the Amazon Ads Sponsored Products Advertised product report. You can use the ‘Advertised ASIN’ from the Advertising Report and the ‘ASIN’ from the Traffic Report as the keys to join.

You can enhance your visibility in performance drivers with these two data sets. Here are a few examples;

  • Effectiveness of Advertising Campaigns: Assess how advertising impacts glance views and sales.
  • Conversion Analysis: Compare impressions and clicks from the Advertising Report with glance views and sales data to calculate and understand conversion rates.
  • Cost-Benefit Analysis: Analyze the ACOS and ROAS about traffic and sales to understand the financial efficiency of advertising campaigns.
  • Product-Level Insights: Determine which products perform well in organic and paid channels.
  • Temporal Trends: Evaluate how advertising campaigns affect traffic and sales over specific periods.:
  • Correlation Analysis: Examine the relationship between advertising metrics (like clicks and impressions) and traffic/sales metrics.
  • ROI Analysis: Compare advertising spending against the increase in sales or glance views.
  • Segmentation and Pattern Recognition: Identify which types of products, campaigns, channels, or periods are most effective.

While our example focused on traffic reports + sponsored products and advertised product reports, you can extend this further to include other ad reports for sponsored display, sponsored brand, or sponsored product reports. Why stop there? Extend the analysis further with off-Amazon data sets like ASIN-level promotional emails, social media posts, or third-party ad platforms like Google Ads or Facebook.

For a deep dive into more examples, see our post about how to harness the power of your Amazon data:

Unleashing Business Insights With Amazon Rapid Retail Analytics

How To Access Vendor Central Traffic Reports?

Vendors have two primary paths to access reports: manual downloads or API automation.

Manual downloading occurs in your Vendor Central account interface. Automation taps into the Amazon Selling Partner API (Amazon SP-API) to automate report processing and storage in a cloud warehouse or data lake (see the Amazon docs here).

Manual Access via Vendor Central:

  1. Login: First, sellers must log into their Amazon Vendor Central account.
  2. Navigate to Reports: Usually found in the main navigation bar, this section contains various sales, inventory, and performance reports.
  3. Locate the ‘Traffic’ Within the Reports section.
  4. Select Date Range: Amazon allows sellers to pull reports based on specific dates. Choose the desired range.
  5. Download: Once the report has been generated, there will typically be an option to download it. The report is often available in different formats .csv or .xls.

Note: Manual downloads are more time-consuming and may not be ideal for frequent and up-to-date data analytics.

Automating Vendor Central Data:

The Amazon Selling Partner API (SP-API) allows for direct, automated access to Amazon forecasting data, making it easier for businesses to integrate it into their systems. Openbridge allows Amazon Vendors to save time manually downloading reports, increasing data velocity and reducing errors in messy merging and tracking downloaded reports.

Unlock Effortless Traffic Insights With Our Code-Free Amazon Integration

Are you struggling with complex, messy traffic report data management for Vendor Central? Say goodbye to the hassle. Openbridge offers a seamless, automated solution that unifies your data into a private, trusted data warehouse or data lake like Amazon Redshift, Databricks, Google BigQuery, and more — all without a single line of code.

Openbridge automation extends beyond inventory to a broad collection of Amazon and non-Amazon data sources;

Automate And Unify Your Vendor Central Data — Free For 30 Days

Start your journey towards data-driven growth and profit with Openbridge. Our code-free, fully automated Selling Partner API integration simplifies your Amazon Vendor Central operations.

Ready to harness the power of your Amazon traffic data?

Sign Up Now for Your Free 30-day Trial For Vendor Central Traffic Report Automation.


Amazon Vendor Central Traffic Report Insights was originally published in Openbridge on Medium, where people are continuing the conversation by highlighting and responding to this story.



from Openbridge - Medium https://ift.tt/tykX0MF
via Openbridge

The Missing Amazon Net PPM Calculation

How to use your Net PPM calculations to optimize your Amazon Advertising efforts

We previously discussed Net Pure Product Margin (Automating Amazon Vendor Central Net PPM Reporting) reports for Amazon Vendor Central, detailing how they are essential to vendors' analytical efforts.

As a recap, here is how Amazon describes the report;

Identify what products are driving profitability up or down by analyzing Net Pure Product Margin or Net PPM. The metric measures product profitability after cost of goods, vendor funding, and sales discounts are taken into account.

In this post, we will dive deeper into the report's contents and provide an example of how you can use tailored Amazon Net PPM Calculations to impact your Amazon Advertising efforts.

How Can Net PPM Calculations Be Used To Drive Growth?

First, the data can be used in several data analysis efforts. Below is just a small sample of the value of this report and the calculated metrics that reside in it for assessing performance:

  1. Profitability Analysis: These reports are designed to analyze the profitability of products after accounting for various costs and deductions. It’s a more refined measure than gross profit since it includes specific cost factors relevant to Amazon’s platform.
  2. Decision-Making Tool: These reports aid in making informed decisions about product strategy, pricing, promotions, and inventory management.
  3. Competitive Edge: Understanding profitability at a granular level can provide a competitive advantage in the marketplace.
  4. Performance Tracking: Vendors can track how individual products or product lines contribute to profitability.
  5. Cost Management: Understanding the components of the report helps manage costs more effectively, especially those specific to Amazon’s ecosystem, like vendor funding and sales discounts.

As a next step, we will explore how to use Net PPM Calculations to identify target ASINs that should warrant more advertising investments.

Amazon Net PPM Calculation And Analysis For Amazon Advertising

The scatter plot visualizes potential candidates for advertising investment based on the data. This analysis is aimed at helping you decide which products might benefit most from additional media dollars for advertising.

Here are some of the details of this example analysis;

Plot Overview

  1. X-Axis (Current Year): This represents the calculation of each product for the current year.
  2. Y-Axis (Change from Last Year): Shows the change compared to the previous year.
  3. Data Points: Each point symbolizes a product, colored by its brand.
  4. Reference Lines: The grey dashed lines represent zero Net PPM and zero change in Net PPM.

Insights for Advertising Decisions

  • Products in the Upper Right Quadrant: These are ideal candidates for advertising. They not only have a high Net PPM, indicating current profitability but also show a positive trend compared to the previous year, suggesting growing or sustained success.
  • Strength of Performance: The further right and higher the point, the stronger the product’s profitability and positive trend. These are prime candidates for advertising to capitalize on their momentum.

Strategy for Investment

  • Focus on Growth and Profitability: Prioritize advertising dollars on products that are both profitable and showing a positive trend. This dual focus helps maximize the return on advertising investment.
  • Brand Considerations: The spread of brands among these products can also guide brand-level marketing strategies.

By targeting products with these characteristics, you can leverage advertising to enhance further the success of already profitable and improving products, potentially boosting sales and overall revenue.

Other Examples of Net PMM Data Analysis

With access to the report data, you can undertake a broad range of data analysis. Below are just a few examples;

  1. Top and Bottom Performing Products: Identifying which products have the highest and lowest.
  2. Year-over-Year Changes: Understanding how product profitability has changed compared to the previous year.
  3. Brand Performance: Analyzing if specific brands are consistently performing better or worse.
  4. General Trends and Insights: Any notable patterns or trends in the data that could inform business decisions.

What Data Is Included In Net PPM Reports?

The report structures and organizes the data to capture the essential elements needed for analysis. Below is a reference schema for the report:

ASIN (String)

  • Description: Amazon Standard Identification Number is a unique code for identifying products on Amazon.
  • Example: B079YLPGSC

Product Title (String)

  • Description: The name or title of the product.
  • Example: Chevy Silverado 12-Volt Battery Ride-On Vehicle

Brand (String)

  • Description: The brand associated with the product.
  • Example: Rollplay

Net PPM (Float)

  • Description: Net Pure Product Margin, calculated as a percentage. It measures product profitability after accounting for the cost of goods, vendor funding, and sales discounts.
  • Example: 0.5043 (50.43%)

Net PPM Last Year (Float)

  • Description: The same period in the previous year for year-over-year comparison.
  • Example: 0.1206 (12.06%)

Net PPM Change (Float) [Calculated]

  • Description: The change from the previous year. This derived field is calculated as Last Year.
  • Example: 0.3837 (38.37%)

Categories (String/Array) [Optional]

  • Description: Product categories or subcategories, if relevant for analysis.
  • Examples: “Toys & Games,” “Electronic Toys”

Price (Float) [Optional]

  • Description: Current price of the product.
  • Example: 199.99

Cost of Goods Sold (COGS) (Float) [Optional]

  • Description: The direct costs attributable to the production of the products sold.
  • Example: 120.00

Sales Discounts (Float) [Optional]

  • Description: Any discounts provided on the product during the reporting period.
  • Example: 10.00

Shipped Revenue (Float) [Optional]

  • Description: Total revenue from the product shipped during the reporting period.
  • Example: 300000.00

Units Sold (Integer) [Optional]

  • Description: The total number of units sold during the reporting period.
  • Example: 1500

Reporting Range (Date Range)

  • Description: The time period for which the report is generated.
  • Example: 1/1/2022–12/31/2022

Report Updated (Date)

  • Description: The date when the report was last updated or generated.
  • Example: 1/7/2024

How do you access Vendor Central Net PPM Reports?

Vendors have two primary paths to access reports: manual downloads or API automation.

Manual downloading occurs in your Vendor Central account interface. Automation taps into the Amazon Selling Partner API (Amazon SP-API) to automate report processing and store the info in a cloud warehouse or data lake (see the Amazon docs here).

Manual Access via Vendor Central

  1. Login: First, sellers must log into their Amazon Vendor Central account.
  2. Navigate to Reports: Usually found in the main navigation bar, this section contains various sales, inventory, and performance reports.
  3. Locate the ‘Net PPM’ Within the Reports section
  4. Select Date Range: Amazon allows sellers to pull reports based on specific dates. Choose the desired range.
  5. Download: Once the report has been generated, there will typically be an option to download it. The report is often available in different formats .csv or .xls.

Note: Manual downloads are more time-consuming and may not be ideal for frequent and up-to-date data analytics.

Automating Vendor Central Data

The Amazon Selling Partner API (SP-API) allows for direct, automated access to Amazon Net PPM data, making it easier for businesses to integrate it into their systems. Openbridge allows Amazon Vendors to save time manually downloading reports, increasing data velocity and reducing errors in messy merging and tracking downloaded reports.

Unlock Effortless Inventory Management With Our Code-Free Amazon Integration

Are you struggling with complex, messy Net PPM data management for Vendor Central? Say goodbye to the hassle. Openbridge offers a seamless, automated solution that unifies your data into a private, trusted data warehouse or data lake like Amazon Redshift, Databricks, Google BigQuery, and more — all without a single line of code.

With data organized and automated, this “analytics-ready” data supercharges tools like Google Data Studio, Tableau, and Microsoft Power BI.

Automate And Unify Your Vendor Central Data — Free For 30 Days

Start your journey towards data-driven growth and profit with Openbridge. Our code-free, fully automated Selling Partner API integration simplifies your Amazon Vendor Central operations.

Ready to harness the power of your Amazon data?

Sign up for a 30-day free trial of our fully-automated Net PPM data feed!


The Missing Amazon Net PPM Calculation was originally published in Openbridge on Medium, where people are continuing the conversation by highlighting and responding to this story.



from Openbridge - Medium https://ift.tt/m1HAekW
via IFTTT

The Missing Amazon Net PPM Calculation

How to use your Net PPM calculations to optimize your Amazon Advertising efforts

We previously discussed Net Pure Product Margin (Automating Amazon Vendor Central Net PPM Reporting) reports for Amazon Vendor Central, detailing how they are essential to vendors' analytical efforts.

As a recap, here is how Amazon describes the report;

Identify what products are driving profitability up or down by analyzing Net Pure Product Margin or Net PPM. The metric measures product profitability after cost of goods, vendor funding, and sales discounts are taken into account.

In this post, we will dive deeper into the report's contents and provide an example of how you can use tailored Amazon Net PPM Calculations to impact your Amazon Advertising efforts.

How Can Net PPM Calculations Be Used To Drive Growth?

First, the data can be used in several data analysis efforts. Below is just a small sample of the value of this report and the calculated metrics that reside in it for assessing performance:

  1. Profitability Analysis: These reports are designed to analyze the profitability of products after accounting for various costs and deductions. It’s a more refined measure than gross profit since it includes specific cost factors relevant to Amazon’s platform.
  2. Decision-Making Tool: These reports aid in making informed decisions about product strategy, pricing, promotions, and inventory management.
  3. Competitive Edge: Understanding profitability at a granular level can provide a competitive advantage in the marketplace.
  4. Performance Tracking: Vendors can track how individual products or product lines contribute to profitability.
  5. Cost Management: Understanding the components of the report helps manage costs more effectively, especially those specific to Amazon’s ecosystem, like vendor funding and sales discounts.

As a next step, we will explore how to use Net PPM Calculations to identify target ASINs that should warrant more advertising investments.

Amazon Net PPM Calculation And Analysis For Amazon Advertising

The scatter plot visualizes potential candidates for advertising investment based on the data. This analysis is aimed at helping you decide which products might benefit most from additional media dollars for advertising.

Here are some of the details of this example analysis;

Plot Overview

  1. X-Axis (Current Year): This represents the calculation of each product for the current year.
  2. Y-Axis (Change from Last Year): Shows the change compared to the previous year.
  3. Data Points: Each point symbolizes a product, colored by its brand.
  4. Reference Lines: The grey dashed lines represent zero Net PPM and zero change in Net PPM.

Insights for Advertising Decisions

  • Products in the Upper Right Quadrant: These are ideal candidates for advertising. They not only have a high Net PPM, indicating current profitability but also show a positive trend compared to the previous year, suggesting growing or sustained success.
  • Strength of Performance: The further right and higher the point, the stronger the product’s profitability and positive trend. These are prime candidates for advertising to capitalize on their momentum.

Strategy for Investment

  • Focus on Growth and Profitability: Prioritize advertising dollars on products that are both profitable and showing a positive trend. This dual focus helps maximize the return on advertising investment.
  • Brand Considerations: The spread of brands among these products can also guide brand-level marketing strategies.

By targeting products with these characteristics, you can leverage advertising to enhance further the success of already profitable and improving products, potentially boosting sales and overall revenue.

Other Examples of Net PMM Data Analysis

With access to the report data, you can undertake a broad range of data analysis. Below are just a few examples;

  1. Top and Bottom Performing Products: Identifying which products have the highest and lowest.
  2. Year-over-Year Changes: Understanding how product profitability has changed compared to the previous year.
  3. Brand Performance: Analyzing if specific brands are consistently performing better or worse.
  4. General Trends and Insights: Any notable patterns or trends in the data that could inform business decisions.

What Data Is Included In Net PPM Reports?

The report structures and organizes the data to capture the essential elements needed for analysis. Below is a reference schema for the report:

ASIN (String)

  • Description: Amazon Standard Identification Number is a unique code for identifying products on Amazon.
  • Example: B079YLPGSC

Product Title (String)

  • Description: The name or title of the product.
  • Example: Chevy Silverado 12-Volt Battery Ride-On Vehicle

Brand (String)

  • Description: The brand associated with the product.
  • Example: Rollplay

Net PPM (Float)

  • Description: Net Pure Product Margin, calculated as a percentage. It measures product profitability after accounting for the cost of goods, vendor funding, and sales discounts.
  • Example: 0.5043 (50.43%)

Net PPM Last Year (Float)

  • Description: The same period in the previous year for year-over-year comparison.
  • Example: 0.1206 (12.06%)

Net PPM Change (Float) [Calculated]

  • Description: The change from the previous year. This derived field is calculated as Last Year.
  • Example: 0.3837 (38.37%)

Categories (String/Array) [Optional]

  • Description: Product categories or subcategories, if relevant for analysis.
  • Examples: “Toys & Games,” “Electronic Toys”

Price (Float) [Optional]

  • Description: Current price of the product.
  • Example: 199.99

Cost of Goods Sold (COGS) (Float) [Optional]

  • Description: The direct costs attributable to the production of the products sold.
  • Example: 120.00

Sales Discounts (Float) [Optional]

  • Description: Any discounts provided on the product during the reporting period.
  • Example: 10.00

Shipped Revenue (Float) [Optional]

  • Description: Total revenue from the product shipped during the reporting period.
  • Example: 300000.00

Units Sold (Integer) [Optional]

  • Description: The total number of units sold during the reporting period.
  • Example: 1500

Reporting Range (Date Range)

  • Description: The time period for which the report is generated.
  • Example: 1/1/2022–12/31/2022

Report Updated (Date)

  • Description: The date when the report was last updated or generated.
  • Example: 1/7/2024

How do you access Vendor Central Net PPM Reports?

Vendors have two primary paths to access reports: manual downloads or API automation.

Manual downloading occurs in your Vendor Central account interface. Automation taps into the Amazon Selling Partner API (Amazon SP-API) to automate report processing and store the info in a cloud warehouse or data lake (see the Amazon docs here).

Manual Access via Vendor Central

  1. Login: First, sellers must log into their Amazon Vendor Central account.
  2. Navigate to Reports: Usually found in the main navigation bar, this section contains various sales, inventory, and performance reports.
  3. Locate the ‘Net PPM’ Within the Reports section
  4. Select Date Range: Amazon allows sellers to pull reports based on specific dates. Choose the desired range.
  5. Download: Once the report has been generated, there will typically be an option to download it. The report is often available in different formats .csv or .xls.

Note: Manual downloads are more time-consuming and may not be ideal for frequent and up-to-date data analytics.

Automating Vendor Central Data

The Amazon Selling Partner API (SP-API) allows for direct, automated access to Amazon Net PPM data, making it easier for businesses to integrate it into their systems. Openbridge allows Amazon Vendors to save time manually downloading reports, increasing data velocity and reducing errors in messy merging and tracking downloaded reports.

Unlock Effortless Inventory Management With Our Code-Free Amazon Integration

Are you struggling with complex, messy Net PPM data management for Vendor Central? Say goodbye to the hassle. Openbridge offers a seamless, automated solution that unifies your data into a private, trusted data warehouse or data lake like Amazon Redshift, Databricks, Google BigQuery, and more — all without a single line of code.

With data organized and automated, this “analytics-ready” data supercharges tools like Google Data Studio, Tableau, and Microsoft Power BI.

Automate And Unify Your Vendor Central Data — Free For 30 Days

Start your journey towards data-driven growth and profit with Openbridge. Our code-free, fully automated Selling Partner API integration simplifies your Amazon Vendor Central operations.

Ready to harness the power of your Amazon data?

Sign up for a 30-day free trial of our fully-automated Net PPM data feed!


The Missing Amazon Net PPM Calculation was originally published in Openbridge on Medium, where people are continuing the conversation by highlighting and responding to this story.



from Openbridge - Medium https://ift.tt/y70FiWo
via Openbridge

Automated Amazon Vendor Central Sales Reports

Discover how to become a data-driven merchant with sales insights

The Sales reports from Amazon Vendor Central provide Vendors with detailed insights into account sales performance.

Amazon describes the reports as follows;

“Quickly identify opportunities by determining what is contributing to sales performance.”

What are the benefits of Amazon Vendor Central Sales Reports?

The sales reports offer Vendors key insights into account performance:

  • Performance Analysis: Sales reports enable Vendors to analyze their sales performance over a specified period (in this case, yearly). This includes understanding which products (ASINs) are selling well and which aren’t.
  • Opportunity Identification: By examining sales data, Vendors can quickly identify opportunities for improvement or expansion. This could involve increasing the stock of high-performing products or reassessing the marketing or pricing strategies of underperforming ones.
  • Decision Making: The data aids in strategic decision-making, such as inventory management, marketing focus, pricing strategies, and forecasting future sales.
  • Insight into Consumer Behavior: Understanding what drives sales and how customers respond to products.
  • Financial Planning: Aids in more accurate financial planning and Revenue forecasting.
  • Market Trends Analysis: Helps identify market trends and consumer preferences.

What Data Is Available For Vendor Central Sales?

As of 2023, Vendor Retail Analytics Sales reports and new “real-time” Rapid Retail Analytics sales feeds exist.

For information on the new real-time data for Vendors, see:

This post will focus on Retail Analytics Sales reports.

What Is Included In Vendor Central Retail Analytics Sales Reports?

Here’s a breakdown of the Vendor Central Retail Analytics Sales Reports columns. There are two classes of Vendor Central Sales reports:

  • Sourcing View: This report shows product sales data with an offer from a vendor code listed in the vendor group.
  • Manufacturing View: This report provides ASIN-level data for products manufactured by the vendor.

The Sourcing report provides a detailed breakdown of product performance regarding revenue, cost, units shipped, and returns. The Sourcing report contains the following columns:

  1. ASIN: Amazon Standard Identification Number is a unique identifier for each product.
  2. Product Title: The name or title of the product.
  3. Brand: The brand associated with each product.
  4. Shipped Revenue: The total Revenue generated from the shipped products.
  5. Shipped COGS (Cost of Goods Sold): The cost of producing or purchasing the goods sold.
  6. Shipped Units: The number of units shipped.
  7. Customer Returns: The number of units customers return.

This Manufacturing report provides a comprehensive overview of the product’s performance. It differentiates between ordered and shipped metrics, giving a clearer picture of demand versus fulfillment. The Manufacturing report includes the following key columns:

  1. ASIN: Amazon Standard Identification Number, unique to each product.
  2. Product Title: The name or title of the product.
  3. Brand: The brand associated with each product.
  4. Ordered Revenue: The total Revenue from orders placed.
  5. Ordered Units: The number of units ordered.
  6. Shipped Revenue: The total Revenue generated from the shipped products.
  7. Shipped COGS (Cost of Goods Sold): The cost of producing or purchasing the goods sold.
  8. Shipped Units: The number of units shipped.
  9. Customer Returns: The number of units customers return.

Both reports have a few qualifications around what is and is not included in the data

  • Exclusions: Warehouse Deals sales are not included in these metrics. This is important as it affects the accuracy and relevance of the sales data.
  • Inclusions: Customer returns and free replacements are accounted for in shipped units and Revenue. This provides a more realistic picture of actual sales performance.
  • Attribution of Returns and Cancellations: These are attributed based on the original date of the sale, affecting how Revenue and returns are analyzed over time.

Vendor Central API Automation For Data-Driven Sales Insights

The Amazon Selling Partner API (SP-API) allows for direct, automated access to Amazon Vendor Sales data, making it easier for businesses to integrate it into their systems.

The following are just a few examples of reports you can create with automated data using tools such as Google Data Studio, Tableau, Microsoft Power BI, Looker, or Amazon Quicksight.

You can create simple, ASIN-based performance visualizations:

The bar chart above visualizes the ‘Shipped Revenue’ for different ASINs (products) in 2022, based on the Sourcing View report from Amazon Vendor Central. Each bar represents a specific product (ASIN), and the height of the bar indicates the total revenue generated from that product.

You can also create comparisons like shipped units and customer returns by ASIN:

The grouped bar chart above compares ‘Shipped Units’ (in blue) and ‘Customer Returns’ (in red) for each product (ASIN) based on the Sourcing View report for 2022. This visualization allows for an easy side-by-side comparison of these two metrics.

Product Portfolio Analysis

A Product Portfolio Analysis classifies products into categories based on revenue and return rates. The categories could be:

  1. High Revenue — High Return (Red): Products in this category generate high revenue but also have a high return rate. This might indicate issues with the product despite its popularity.
  2. High Revenue — Low Return (Green): These are the most desirable products, generating high revenue with a low return rate, indicating strong market fit and customer satisfaction.
  3. Low Revenue — High Return (Blue): Products that are not performing well in terms of sales and also experiencing high return rates. These might need reassessment or improvement.
  4. Low Revenue — Low Return (Orange): These products have low sales and low return rates, possibly indicating niche markets or opportunities for increased marketing or product development.

We use the ‘Shipped Revenue’ and ‘Customer Returns’ metrics for the analysis. We calculate each product's return rate (as a percentage of shipped units) and then use these two metrics to categorize the products.

The scatter plot below represents the Product Portfolio Analysis for 2022. It categorizes products into four segments based on their Shipped Revenue and Return Rate:

High Revenue — High Return:

  • Products: B086L6SNT8, B01F76Q5QY, B09L56BWRK

High Revenue — Low Return:

  • Products: B07CJ2GD9T, B086KTHGB4, B07XMNF3B7

Low Revenue — High Return:

  • Products: B086N2Y81Z, B09LPJKVGH, B079YLPGSC

Low Revenue — Low Return:

  • Products: B09JBGGJ16, B09JB64V62, B09JB125NX

How To Access Vendor Central Sales Reports?

Vendors have two primary paths to access Sales reports: manual downloads or API automation.

Manual downloading occurs in your Vendor Central account interface. Automation taps into the Amazon Selling Partner API (Amazon SP-API) to automate report processing and storage in a cloud warehouse or data lake (see the Amazon docs here).

Manual Access via Vendor Central:

  1. Login: First, Vendors must log into their Amazon Vendor Central account.
  2. Navigate to Reports: Usually found in the main navigation bar, this section contains various sales, inventory, and performance reports.
  3. Locate the ‘Sales’ Within the Reports section
  4. Select Date Range: Amazon allows Vendors to pull reports based on specific dates. Choose the desired range.
  5. Download: Once the report has been generated, there will typically be an option to download it. The report is often available in different formats .csv or .xls.

Note: Manual downloads are more time-consuming and may not be ideal for frequent and up-to-date data analytics.

Automate And Unify Your Vendor Central Sales Data — Free For 30 Days

Openbridge API automation allows Amazon Vendors to save time manually downloading Sales reports, increasing data velocity and reducing errors in messy merging and tracking downloaded reports.

Start your journey towards data-driven growth and profit with Openbridge. Our code-free, fully automated Selling Partner API integration simplifies your Amazon Vendor Central operations.

Ready to automate and unify your Amazon Sales Data?

→ Sign up for a 30-day free trial of our Vendor Central Sales Report automation.


Automated Amazon Vendor Central Sales Reports was originally published in Openbridge on Medium, where people are continuing the conversation by highlighting and responding to this story.



from Openbridge - Medium https://ift.tt/oyzIjp0
via IFTTT

Automated Amazon Vendor Central Sales Reports

Discover how to become a data-driven merchant with sales insights

The Sales reports from Amazon Vendor Central provide Vendors with detailed insights into account sales performance.

Amazon describes the reports as follows;

“Quickly identify opportunities by determining what is contributing to sales performance.”

What are the benefits of Amazon Vendor Central Sales Reports?

The sales reports offer Vendors key insights into account performance:

  • Performance Analysis: Sales reports enable Vendors to analyze their sales performance over a specified period (in this case, yearly). This includes understanding which products (ASINs) are selling well and which aren’t.
  • Opportunity Identification: By examining sales data, Vendors can quickly identify opportunities for improvement or expansion. This could involve increasing the stock of high-performing products or reassessing the marketing or pricing strategies of underperforming ones.
  • Decision Making: The data aids in strategic decision-making, such as inventory management, marketing focus, pricing strategies, and forecasting future sales.
  • Insight into Consumer Behavior: Understanding what drives sales and how customers respond to products.
  • Financial Planning: Aids in more accurate financial planning and Revenue forecasting.
  • Market Trends Analysis: Helps identify market trends and consumer preferences.

What Data Is Available For Vendor Central Sales?

As of 2023, Vendor Retail Analytics Sales reports and new “real-time” Rapid Retail Analytics sales feeds exist.

For information on the new real-time data for Vendors, see:

This post will focus on Retail Analytics Sales reports.

What Is Included In Vendor Central Retail Analytics Sales Reports?

Here’s a breakdown of the Vendor Central Retail Analytics Sales Reports columns. There are two classes of Vendor Central Sales reports:

  • Sourcing View: This report shows product sales data with an offer from a vendor code listed in the vendor group.
  • Manufacturing View: This report provides ASIN-level data for products manufactured by the vendor.

The Sourcing report provides a detailed breakdown of product performance regarding revenue, cost, units shipped, and returns. The Sourcing report contains the following columns:

  1. ASIN: Amazon Standard Identification Number is a unique identifier for each product.
  2. Product Title: The name or title of the product.
  3. Brand: The brand associated with each product.
  4. Shipped Revenue: The total Revenue generated from the shipped products.
  5. Shipped COGS (Cost of Goods Sold): The cost of producing or purchasing the goods sold.
  6. Shipped Units: The number of units shipped.
  7. Customer Returns: The number of units customers return.

This Manufacturing report provides a comprehensive overview of the product’s performance. It differentiates between ordered and shipped metrics, giving a clearer picture of demand versus fulfillment. The Manufacturing report includes the following key columns:

  1. ASIN: Amazon Standard Identification Number, unique to each product.
  2. Product Title: The name or title of the product.
  3. Brand: The brand associated with each product.
  4. Ordered Revenue: The total Revenue from orders placed.
  5. Ordered Units: The number of units ordered.
  6. Shipped Revenue: The total Revenue generated from the shipped products.
  7. Shipped COGS (Cost of Goods Sold): The cost of producing or purchasing the goods sold.
  8. Shipped Units: The number of units shipped.
  9. Customer Returns: The number of units customers return.

Both reports have a few qualifications around what is and is not included in the data

  • Exclusions: Warehouse Deals sales are not included in these metrics. This is important as it affects the accuracy and relevance of the sales data.
  • Inclusions: Customer returns and free replacements are accounted for in shipped units and Revenue. This provides a more realistic picture of actual sales performance.
  • Attribution of Returns and Cancellations: These are attributed based on the original date of the sale, affecting how Revenue and returns are analyzed over time.

Vendor Central API Automation For Data-Driven Sales Insights

The Amazon Selling Partner API (SP-API) allows for direct, automated access to Amazon Vendor Sales data, making it easier for businesses to integrate it into their systems.

The following are just a few examples of reports you can create with automated data using tools such as Google Data Studio, Tableau, Microsoft Power BI, Looker, or Amazon Quicksight.

You can create simple, ASIN-based performance visualizations:

The bar chart above visualizes the ‘Shipped Revenue’ for different ASINs (products) in 2022, based on the Sourcing View report from Amazon Vendor Central. Each bar represents a specific product (ASIN), and the height of the bar indicates the total revenue generated from that product.

You can also create comparisons like shipped units and customer returns by ASIN:

The grouped bar chart above compares ‘Shipped Units’ (in blue) and ‘Customer Returns’ (in red) for each product (ASIN) based on the Sourcing View report for 2022. This visualization allows for an easy side-by-side comparison of these two metrics.

Product Portfolio Analysis

A Product Portfolio Analysis classifies products into categories based on revenue and return rates. The categories could be:

  1. High Revenue — High Return (Red): Products in this category generate high revenue but also have a high return rate. This might indicate issues with the product despite its popularity.
  2. High Revenue — Low Return (Green): These are the most desirable products, generating high revenue with a low return rate, indicating strong market fit and customer satisfaction.
  3. Low Revenue — High Return (Blue): Products that are not performing well in terms of sales and also experiencing high return rates. These might need reassessment or improvement.
  4. Low Revenue — Low Return (Orange): These products have low sales and low return rates, possibly indicating niche markets or opportunities for increased marketing or product development.

We use the ‘Shipped Revenue’ and ‘Customer Returns’ metrics for the analysis. We calculate each product's return rate (as a percentage of shipped units) and then use these two metrics to categorize the products.

The scatter plot below represents the Product Portfolio Analysis for 2022. It categorizes products into four segments based on their Shipped Revenue and Return Rate:

High Revenue — High Return:

  • Products: B086L6SNT8, B01F76Q5QY, B09L56BWRK

High Revenue — Low Return:

  • Products: B07CJ2GD9T, B086KTHGB4, B07XMNF3B7

Low Revenue — High Return:

  • Products: B086N2Y81Z, B09LPJKVGH, B079YLPGSC

Low Revenue — Low Return:

  • Products: B09JBGGJ16, B09JB64V62, B09JB125NX

How To Access Vendor Central Sales Reports?

Vendors have two primary paths to access Sales reports: manual downloads or API automation.

Manual downloading occurs in your Vendor Central account interface. Automation taps into the Amazon Selling Partner API (Amazon SP-API) to automate report processing and storage in a cloud warehouse or data lake (see the Amazon docs here).

Manual Access via Vendor Central:

  1. Login: First, Vendors must log into their Amazon Vendor Central account.
  2. Navigate to Reports: Usually found in the main navigation bar, this section contains various sales, inventory, and performance reports.
  3. Locate the ‘Sales’ Within the Reports section
  4. Select Date Range: Amazon allows Vendors to pull reports based on specific dates. Choose the desired range.
  5. Download: Once the report has been generated, there will typically be an option to download it. The report is often available in different formats .csv or .xls.

Note: Manual downloads are more time-consuming and may not be ideal for frequent and up-to-date data analytics.

Automate And Unify Your Vendor Central Sales Data — Free For 30 Days

Openbridge API automation allows Amazon Vendors to save time manually downloading Sales reports, increasing data velocity and reducing errors in messy merging and tracking downloaded reports.

Start your journey towards data-driven growth and profit with Openbridge. Our code-free, fully automated Selling Partner API integration simplifies your Amazon Vendor Central operations.

Ready to automate and unify your Amazon Sales Data?

→ Sign up for a 30-day free trial of our Vendor Central Sales Report automation.


Automated Amazon Vendor Central Sales Reports was originally published in Openbridge on Medium, where people are continuing the conversation by highlighting and responding to this story.



from Openbridge - Medium https://ift.tt/aLX4Yh5
via Openbridge

Amazon Vendor Central Forecasting Report Automation

Explore the power of harnessing your Vendor Central Forecasting report data for growth

Forecast reports for Amazon Vendor Central contain valuable information for understanding and predicting customer demand for various products.

Per Amazon, the Forcast reports;

identify customer demand of the products for production and inventory planning purposes.

These reports are used for production and inventory planning, crucial aspects of retail operations, especially in a dynamic and competitive marketplace like Amazon.

What Is The Vendor Central Forecasting Report?

The forecasting reports provide a detailed, weekly demand forecast, enabling precise short- to medium-term planning. Data is reported at the ASIN level for the most recent weekly forecast generation date.

The granular report data is beneficial for managing inventory levels and ensuring supply aligns closely with expected demand.

Product Information: Detailed information about each product, possibly including SKU numbers, product names, categories, and other identifiers.

Historical Sales Data: Data on past sales, which could be segmented by periods (daily, weekly, monthly, etc.).

Demand Forecasts:

  • Mean Forecast
  • P70, P80, P90 Forecasts

Geographical Data: Since the reports are specified for the United States, they might include region-specific or state-specific demand forecasts.

Time Series Data: Forecasts might be provided for future periods, such as the next quarter, half-year, or full year.

Market Trends and Seasonality: Insights into how different times of the year or market trends impact product demand.

What Data Is Included In The Vendor Central Forecasting Report?

Here’s a breakdown of the columns included in the Vendor Central Forecasting Reports:

  1. ASIN and Product Information: The report contains columns for ‘ASIN’ (Amazon Standard Identification Number), ‘Product Title,’ and ‘Brand.’ This information is used to identify each product uniquely.
  2. Weekly Forecasts: The report provides weekly demand forecasts for various weeks. Each column seems to represent a specific week (like ‘Week 0 (7 Jan — 13 Jan)’, ‘Week 1 (14 Jan — 20 Jan)’, etc.), indicating the forecasted demand for each product in those weeks.
  3. Forecast: The report’s title suggests that these forecasts are mean (average), P70, P80, and P90. The numbers represent an average expected demand for each weekly product.
  4. Numerical Values: The values in the report are likely the forecasted quantities (units) expected to be sold each week.

The P70, P80, and P90 forecasts are valuable for risk management and inventory safety. By planning for a higher-than-average demand scenario; businesses can ensure sufficient stock to meet unexpected increases in demand, thus minimizing the risk of stockouts and potentially lost sales.

Next, we dig into what are P-levels and why they matter.

What Do P-levels Forecasting Reports Mean?

P-levels (such as P80, P90, etc.) are critical in inventory and demand planning, and they play a significant role in determining the level of buffer stock to maintain.

  1. P-Level (Probability Level): The ‘P’ in P-level stands for ‘probability’. P-level forecast provides an estimate of future demand with a certain confidence level. For instance, a P80 forecast indicates an 80% probability that actual demand will not exceed the forecasted amount.
  2. Buffer Stock Implications:
     — P80 Forecast: This forecast level suggests a moderate buffer stock. It indicates a balance between having enough inventory to meet most demand scenarios (80% probability) and not overstocking excessively.
     — P90 Forecast and Higher: As the P-level increases, it implies a higher buffer stock level. For example, a P90 forecast indicates a higher certainty (90% probability) that the actual demand will not exceed the forecasted amount, leading to more inventory being kept as a buffer to meet potential spikes in demand.
  3. Stock Availability: The CR or P-level is directly tied to the likelihood of an ASIN being in stock. A higher P-level means a greater probability that the product will be available throughout the buying horizon, reducing the risk of stockouts.
  4. Risk Management: Choosing the appropriate P-level is a risk management decision. Lower P-levels (like P80) might reduce carrying costs but increase the risk of stockouts. Higher P-levels (like P90) increase carrying costs but reduce the risk of losing sales due to stockouts.
  5. Strategic Decision Making: Businesses need to consider various factors like the cost of holding inventory, the likelihood of demand spikes, and the consequences of stockouts when deciding on the P-level for their forecasting.

Different P-level forecasts provide a range of scenarios from optimistic (lower P-levels) to conservative (higher P-levels). This allows businesses to plan their inventory and production strategies according to risk tolerance and operational objectives.

What are the benefits of the Amazon Vendor Central Forecasting Reports?

There are a few benefits of forecasting reports. By analyzing this data, businesses can identify trends, anticipate future demands, and adjust their strategies.

  1. Inventory Management: Helps determine how much stock to keep to meet customer demand without overstocking, which ties up capital and space, or understocking, which can lead to lost sales.
  2. Production Planning: Assists manufacturers in planning their production schedules, raw material procurement, and labor allocation based on anticipated product demand.
  3. Risk Mitigation: The probabilistic forecasts (P70, P80, P90) provide different scenarios, helping in planning for uncertainty and reducing the risk of unexpected demand fluctuations.
  4. Financial Forecasting and Budgeting: Essential for financial planning, including revenue projections and budgeting for marketing, logistics, and other operational expenses.
  5. Strategic Decision Making: Guides high-level strategy, including decisions on product development, market expansion, and promotional campaigns.
  6. Customer Satisfaction: Accurately predicting customer demand ensures that products are available when customers want them, thus enhancing customer satisfaction and loyalty.
  7. Customization for Market Needs: Account for regional market trends and consumer behaviors, enabling more tailored decision-making.
  8. Supply Chain Optimization: Accurate demand forecasting helps optimize the supply chain, from supplier orders to distribution strategies.

Forecast Reports Do Not Equal Purchase Orders

It is important to note that Forecasting reports provide a forecast for customer demand, not a promise of purchase orders. The report provides a forecast for unconstrained customer demand. Per Amazon, “If there are already on-hand or on-order units available to cover customer demand, this would be accounted for when the system issues purchase orders.”

How To Access Vendor Central Forecasting Reports?

Vendors have two primary paths to access reports: manual downloads or API automation.

Manual downloading occurs in your Vendor Central account interface. Automation taps into the Amazon Selling Partner API (Amazon SP-API) to automate report processing and storage in a cloud warehouse or data lake (see the Amazon docs here).

Manual Access via Vendor Central:

  1. Login: First, sellers must log into their Amazon Vendor Central account.
  2. Navigate to Reports: Usually found in the main navigation bar, this section contains various sales, inventory, and performance reports.
  3. Locate the ‘Forecasting’: Within the Reports section
  4. Select Date Range: Amazon allows sellers to pull reports based on specific dates. Choose the desired range.
  5. Download: Once the report has been generated, there will typically be an option to download it. The report is often available in different formats .csv or .xls.

Note: Manual downloads are more time-consuming and may not be ideal for frequent and up-to-date data analytics.

Automating Vendor Central Data:

The Amazon Selling Partner API (SP-API) allows for direct, automated access to Amazon forecasting data, making it easier for businesses to integrate it into their systems. Openbridge allows Amazon Vendors to save time manually downloading reports, increasing data velocity and reducing errors in messy merging and tracking downloaded reports.

Unlock Effortless Inventory Management With Our Code-Free Amazon Integration

Are you struggling with complex, messy forecasting data management for Vendor Central? Say goodbye to the hassle. Openbridge offers a seamless, automated solution that unifies your data into a private, trusted data warehouse or data lake like Amazon Redshift, Databricks, Google BigQuery, and more — all without a single line of code.

Why Choose Openbridge?

  • Automate with Ease: Skip the manual report downloads. Enjoy automated data feeds directly into your private cloud data warehouse or data lake.
  • Data-Driven Insights: Leverage high-velocity data for machine learning, business intelligence, and more.
  • Versatile Compatibility: Works effortlessly with Google Data Studio, Tableau, Microsoft Power BI, and other tools.

Openbridge automation extends beyond inventory to a broad collection of Amazon and non-Amazon data sources;

Automate And Unify Your Vendor Central Data — Free For 30 Days

Start your journey towards data-driven growth and profit with Openbridge. Our code-free, fully automated Selling Partner API integration simplifies your Amazon Vendor Central operations.

Ready to harness the power of your Amazon Forecasting data?

Sign Up Now for Your Free 30-day Trial For Vendor Central Forecasting Report Automation.


Amazon Vendor Central Forecasting Report Automation was originally published in Openbridge on Medium, where people are continuing the conversation by highlighting and responding to this story.



from Openbridge - Medium https://ift.tt/nxwCRtY
via IFTTT

Amazon Vendor Central Forecasting Report Automation

Explore the power of harnessing your Vendor Central Forecasting report data for growth

Forecast reports for Amazon Vendor Central contain valuable information for understanding and predicting customer demand for various products.

Per Amazon, the Forcast reports;

identify customer demand of the products for production and inventory planning purposes.

These reports are used for production and inventory planning, crucial aspects of retail operations, especially in a dynamic and competitive marketplace like Amazon.

What Is The Vendor Central Forecasting Report?

The forecasting reports provide a detailed, weekly demand forecast, enabling precise short- to medium-term planning. Data is reported at the ASIN level for the most recent weekly forecast generation date.

The granular report data is beneficial for managing inventory levels and ensuring supply aligns closely with expected demand.

Product Information: Detailed information about each product, possibly including SKU numbers, product names, categories, and other identifiers.

Historical Sales Data: Data on past sales, which could be segmented by periods (daily, weekly, monthly, etc.).

Demand Forecasts:

  • Mean Forecast
  • P70, P80, P90 Forecasts

Geographical Data: Since the reports are specified for the United States, they might include region-specific or state-specific demand forecasts.

Time Series Data: Forecasts might be provided for future periods, such as the next quarter, half-year, or full year.

Market Trends and Seasonality: Insights into how different times of the year or market trends impact product demand.

What Data Is Included In The Vendor Central Forecasting Report?

Here’s a breakdown of the columns included in the Vendor Central Forecasting Reports:

  1. ASIN and Product Information: The report contains columns for ‘ASIN’ (Amazon Standard Identification Number), ‘Product Title,’ and ‘Brand.’ This information is used to identify each product uniquely.
  2. Weekly Forecasts: The report provides weekly demand forecasts for various weeks. Each column seems to represent a specific week (like ‘Week 0 (7 Jan — 13 Jan)’, ‘Week 1 (14 Jan — 20 Jan)’, etc.), indicating the forecasted demand for each product in those weeks.
  3. Forecast: The report’s title suggests that these forecasts are mean (average), P70, P80, and P90. The numbers represent an average expected demand for each weekly product.
  4. Numerical Values: The values in the report are likely the forecasted quantities (units) expected to be sold each week.

The P70, P80, and P90 forecasts are valuable for risk management and inventory safety. By planning for a higher-than-average demand scenario; businesses can ensure sufficient stock to meet unexpected increases in demand, thus minimizing the risk of stockouts and potentially lost sales.

Next, we dig into what are P-levels and why they matter.

What Do P-levels Forecasting Reports Mean?

P-levels (such as P80, P90, etc.) are critical in inventory and demand planning, and they play a significant role in determining the level of buffer stock to maintain.

  1. P-Level (Probability Level): The ‘P’ in P-level stands for ‘probability’. P-level forecast provides an estimate of future demand with a certain confidence level. For instance, a P80 forecast indicates an 80% probability that actual demand will not exceed the forecasted amount.
  2. Buffer Stock Implications:
     — P80 Forecast: This forecast level suggests a moderate buffer stock. It indicates a balance between having enough inventory to meet most demand scenarios (80% probability) and not overstocking excessively.
     — P90 Forecast and Higher: As the P-level increases, it implies a higher buffer stock level. For example, a P90 forecast indicates a higher certainty (90% probability) that the actual demand will not exceed the forecasted amount, leading to more inventory being kept as a buffer to meet potential spikes in demand.
  3. Stock Availability: The CR or P-level is directly tied to the likelihood of an ASIN being in stock. A higher P-level means a greater probability that the product will be available throughout the buying horizon, reducing the risk of stockouts.
  4. Risk Management: Choosing the appropriate P-level is a risk management decision. Lower P-levels (like P80) might reduce carrying costs but increase the risk of stockouts. Higher P-levels (like P90) increase carrying costs but reduce the risk of losing sales due to stockouts.
  5. Strategic Decision Making: Businesses need to consider various factors like the cost of holding inventory, the likelihood of demand spikes, and the consequences of stockouts when deciding on the P-level for their forecasting.

Different P-level forecasts provide a range of scenarios from optimistic (lower P-levels) to conservative (higher P-levels). This allows businesses to plan their inventory and production strategies according to risk tolerance and operational objectives.

What are the benefits of the Amazon Vendor Central Forecasting Reports?

There are a few benefits of forecasting reports. By analyzing this data, businesses can identify trends, anticipate future demands, and adjust their strategies.

  1. Inventory Management: Helps determine how much stock to keep to meet customer demand without overstocking, which ties up capital and space, or understocking, which can lead to lost sales.
  2. Production Planning: Assists manufacturers in planning their production schedules, raw material procurement, and labor allocation based on anticipated product demand.
  3. Risk Mitigation: The probabilistic forecasts (P70, P80, P90) provide different scenarios, helping in planning for uncertainty and reducing the risk of unexpected demand fluctuations.
  4. Financial Forecasting and Budgeting: Essential for financial planning, including revenue projections and budgeting for marketing, logistics, and other operational expenses.
  5. Strategic Decision Making: Guides high-level strategy, including decisions on product development, market expansion, and promotional campaigns.
  6. Customer Satisfaction: Accurately predicting customer demand ensures that products are available when customers want them, thus enhancing customer satisfaction and loyalty.
  7. Customization for Market Needs: Account for regional market trends and consumer behaviors, enabling more tailored decision-making.
  8. Supply Chain Optimization: Accurate demand forecasting helps optimize the supply chain, from supplier orders to distribution strategies.

Forecast Reports Do Not Equal Purchase Orders

It is important to note that Forecasting reports provide a forecast for customer demand, not a promise of purchase orders. The report provides a forecast for unconstrained customer demand. Per Amazon, “If there are already on-hand or on-order units available to cover customer demand, this would be accounted for when the system issues purchase orders.”

How To Access Vendor Central Forecasting Reports?

Vendors have two primary paths to access reports: manual downloads or API automation.

Manual downloading occurs in your Vendor Central account interface. Automation taps into the Amazon Selling Partner API (Amazon SP-API) to automate report processing and storage in a cloud warehouse or data lake (see the Amazon docs here).

Manual Access via Vendor Central:

  1. Login: First, sellers must log into their Amazon Vendor Central account.
  2. Navigate to Reports: Usually found in the main navigation bar, this section contains various sales, inventory, and performance reports.
  3. Locate the ‘Forecasting’: Within the Reports section
  4. Select Date Range: Amazon allows sellers to pull reports based on specific dates. Choose the desired range.
  5. Download: Once the report has been generated, there will typically be an option to download it. The report is often available in different formats .csv or .xls.

Note: Manual downloads are more time-consuming and may not be ideal for frequent and up-to-date data analytics.

Automating Vendor Central Data:

The Amazon Selling Partner API (SP-API) allows for direct, automated access to Amazon forecasting data, making it easier for businesses to integrate it into their systems. Openbridge allows Amazon Vendors to save time manually downloading reports, increasing data velocity and reducing errors in messy merging and tracking downloaded reports.

Unlock Effortless Inventory Management With Our Code-Free Amazon Integration

Are you struggling with complex, messy forecasting data management for Vendor Central? Say goodbye to the hassle. Openbridge offers a seamless, automated solution that unifies your data into a private, trusted data warehouse or data lake like Amazon Redshift, Databricks, Google BigQuery, and more — all without a single line of code.

Why Choose Openbridge?

  • Automate with Ease: Skip the manual report downloads. Enjoy automated data feeds directly into your private cloud data warehouse or data lake.
  • Data-Driven Insights: Leverage high-velocity data for machine learning, business intelligence, and more.
  • Versatile Compatibility: Works effortlessly with Google Data Studio, Tableau, Microsoft Power BI, and other tools.

Openbridge automation extends beyond inventory to a broad collection of Amazon and non-Amazon data sources;

Automate And Unify Your Vendor Central Data — Free For 30 Days

Start your journey towards data-driven growth and profit with Openbridge. Our code-free, fully automated Selling Partner API integration simplifies your Amazon Vendor Central operations.

Ready to harness the power of your Amazon Forecasting data?

Sign Up Now for Your Free 30-day Trial For Vendor Central Forecasting Report Automation.


Amazon Vendor Central Forecasting Report Automation was originally published in Openbridge on Medium, where people are continuing the conversation by highlighting and responding to this story.



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Digging Into Amazon Vendor Central Inventory Reports

A deep dive into the Vendor Central Inventory Reports

Amazon offers Vendor Central accounts a set of Inventory Reports via Amazon Retail Analytics (ARA).

Specifically, Amazon states these reports;

Monitor the health of the inventory of your products through weekly updates; quickly identify and respond to unfavorable trends.

As such, Vendor Central Inventory Reports are valuable for manufacturers, retailers, and supply chain managers in making informed decisions on the health of their Amazon business.

What are the benefits of the Amazon Vendor Central Inventory Reports?

There are a few benefits; specifically, the inventory reports aid in optimizing inventory levels, improving vendor relationships, enhancing customer satisfaction, and maintaining a healthy financial status. By analyzing this data, businesses can identify trends, anticipate future demands, and adjust their strategies.

  • Inventory Management: They provide a comprehensive view of the inventory status, including stock levels, order quantities, and aged inventory. This helps in managing inventory more efficiently, reducing overstock or stockout situations.
  • Vendor Performance Analysis: Metrics like vendor confirmation rate and lead time offer insights into vendor reliability and performance, enabling better vendor management and selection.
  • Financial Planning: Information on the net value of received inventory and sellable aged inventory assists in financial planning and forecasting.
  • Supply Chain Optimization: The reports can identify supply chain bottlenecks, such as products with high unfilled customer orders or long vendor lead times.
  • Customer Satisfaction: Businesses can improve customer satisfaction by monitoring out-of-stock rates and unfilled customer orders.
  • Health of Inventory: Tracking unhealthy units helps maintain inventory quality and reduces losses due to damaged or expired products.

What Data Is Included In The Vendor Central Inventory Report?

Here’s a breakdown of the columns included in the Vendor Central Inventory Report (Manufacturing):

  • ASIN (Amazon Standard Identification Number): A unique identifier for each product listed on Amazon.
  • Product Title: The name or title of the product.
  • Brand: The brand associated with each product.
  • Sourceable: Indicates if the product is sourceable or not.
  • Product OOS (Out of Stock) Vendor Confirmation Rate: The rate at which vendors confirm out-of-stock situations.
  • Net Received: The net value of received inventory.
  • Net Received Units: The total number of units received.
  • Open Purchase Order Quantity: The quantity of products on available purchase orders.
  • Receive Fill Rate %: The percentage of orders filled upon receipt.
  • Overall Vendor Lead Time (days): The average time vendors take to fulfill orders.
  • Unfilled Customer Ordered Units: The number of customer orders that remain unfilled.
  • Aged 90+ Days Sellable Inventory: The value of inventory that has been sellable but aged over 90 days.
  • Unhealthy Units: The count of units considered unhealthy (e.g., damaged, expired, etc.).

The Vendor Central Inventory Sourcing report contains data similar to the manufacturing report, with a few notable differences. Here’s a breakdown of the columns in the sourcing report:

  • ASIN (Amazon Standard Identification Number)
  • Product Title
  • Brand
  • Vendor Confirmation Rate: The rate at which vendors confirm the sourcing of products.
  • Net Received: The net value of received inventory.
  • Net Received Units: The number of units received.
  • Open Purchase Order Quantity
  • Receive Fill Rate %
  • Overall Vendor Lead Time (days)
  • Aged 90+ Days Sellable Inventory: The value of inventory that has been sellable but aged over 90 days.
  • Unhealthy Units

How To Access Vendor Central Inventory Reports?

Vendors have two primary paths to access reports: manual downloads or API automation.

Manual downloading occurs in your Vendor Central account interface. Automation taps into the Amazon Selling Partner API (Amazon SP-API) to automate report processing and storage in a cloud warehouse or data lake (see the Amazon docs here).

Manual Access via Vendor Central:

  1. Login: First, Vendors must log into their Amazon Vendor Central account.
  2. Navigate to Reports: Usually found in the main navigation bar, this section contains various sales, inventory, and performance reports.
  3. Locate the ‘Inventory’ within the Reports section
  4. Select Date Range: Amazon allows Vendors to pull reports based on specific dates. Choose the desired range.
  5. Download: Once the report has been generated, there will typically be an option to download it. The report is often available in different formats .csv or .xls.

Note: Manual downloads are more time-consuming and may not be ideal for frequent and up-to-date data analytics.

Automating Vendor Central Data:

The Amazon Selling Partner API (SP-API) allows for direct, automated access to Amazon Vendor data, making it easier for businesses to integrate it into their systems. Openbridge allows Amazon Vendors to save time manually downloading reports, increasing data velocity and reducing errors in messy merging and tracking downloaded reports.

The following are just a few examples of reports you can create with automated data using tools such as Google Data Studio, Tableau, Microsoft Power BI, Looker, or Amazon Quicksight:

  1. Vendor Confirmation Rate by Brand: A bar chart showing the vendor confirmation rate for different brands. This could provide insights into which brands have more reliable supply chains.
  2. Net Received Units versus Open Purchase Order Quantity: A scatter plot comparing the number of units received against the quantity ordered for each product. This could highlight discrepancies and efficiency in fulfilling orders.
  3. Overall Vendor Lead Time: A histogram or box plot displaying the distribution of vendor lead times. This would help in understanding the variability in lead times across products.
  4. Aged Inventory: A pie chart showing the proportion of inventory aged over 90 days for different products. This is useful for inventory health analysis.

Unlock Effortless Inventory Management With Our Code-Free Amazon Integration

Are you struggling with complex, messy inventory data management for Vendor Central? Say goodbye to the hassle. Openbridge offers a seamless, automated solution that unifies your data into a private, trusted data warehouse or data lake like Amazon Redshift, Databricks, Google BigQuery, and more — all without a single line of code.

Why Choose Openbridge?

  • Automate with Ease: Skip the manual report downloads. Enjoy automated data feeds directly into your private cloud data warehouse or data lake.
  • Data-Driven Insights: Leverage high-velocity data for machine learning, business intelligence, and more.
  • Versatile Compatibility: Works effortlessly with Google Data Studio, Tableau, Microsoft Power BI, and other tools.

Openbridge automation extends beyond inventory to a broad collection of Amazon and non-Amazon data sources;

Automate And Unify Your Vendor Central Inventory Data — Free For 30 Days

Start your journey towards data-driven growth and profit with Openbridge. Our code-free, fully automated Selling Partner API integration simplifies your Amazon Vendor Central operations.

Ready to Transform Your Amazon Inventory Data?

→ Sign up for a 30-day free trial of our Vendor Central Inventory Report automation.


Digging Into Amazon Vendor Central Inventory Reports was originally published in Openbridge on Medium, where people are continuing the conversation by highlighting and responding to this story.



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