SKU-Level Reporting
Enhancing SKU-Level Reporting for More Granular and Actionable Insights
Intro
Home Depot lacked real-time, SKU-level visibility during critical sales events like Black Friday. Existing reporting systems were cumbersome, requiring manual queries and offering limited access to detailed data, making it difficult for teams to make fast, informed decisions.
Client
The Home Depot
Year
2023
My Role
Product Manager
Services
Strategy & Design
Client
The Home Depot
Year
2023
My Role
Product Manager
Services
Strategy & Design
Home Depot’s analytics team faced several challenges with their reporting tools:
Lack of user-friendly access to SKU-level insights: While data was available, it required manually running SQL queries or refreshing reports, offering no intuitive or interactive interface to easily dive into individual product details.
Existing interfaces were aggregated at a category level, making it hard to track individual product performance.
There was no mobile-friendly solution, limiting decision-makers’ ability to access critical insights on the go, especially during high-impact sales events like Black Friday and Holiday Promotions, where real-time, SKU-specific data was vital for quick pricing and inventory decisions.
The Problem
I led the development of a solution that provided the necessary visibility for faster decision-making.
Key actions included:
✅ Creating dynamic SKU-level reporting dashboards, offering real-time insights into individual product performance.
✅ Automating hourly data updates, reducing reliance on static, outdated reports and increasing responsiveness.
✅ Implementing a CSV search parser, enabling teams to easily search and filter groups of SKUs, streamlining workflows and decisions.
The solution helped Home Depot capture more value from its online sales, particularly during high-traffic events like Black Friday, leading to a more efficient, data-driven approach to inventory and pricing..
The Solution
Increased app engagement by 30%, with Category Managers leveraging insights to drive more informed decisions.
Enabled faster response times during peak sales periods, optimizing inventory and pricing decisions in real time.
Reduced ad-hoc reporting requests by 50%, freeing up analytics teams for higher-value strategic initiatives.
Results
More Case Studies
SKU-Level Reporting
Enhancing SKU-Level Reporting for More Granular and Actionable Insights
Client
The Home Depot
Year
2023
My Role
Product Manager
Services
Strategy & Design
Intro
Home Depot lacked real-time, SKU-level visibility during critical sales events like Black Friday. Existing reporting systems were cumbersome, requiring manual queries and offering limited access to detailed data, making it difficult for teams to make fast, informed decisions.
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The Problem
Home Depot’s analytics team faced several challenges with their reporting tools:
Lack of user-friendly access to SKU-level insights: While data was available, it required manually running SQL queries or refreshing reports, offering no intuitive or interactive interface to easily dive into individual product details.
Existing interfaces were aggregated at a category level, making it hard to track individual product performance.
There was no mobile-friendly solution, limiting decision-makers’ ability to access critical insights on the go, especially during high-impact sales events like Black Friday and Holiday Promotions, where real-time, SKU-specific data was vital for quick pricing and inventory decisions.
Solution
I led the development of a solution that provided the necessary visibility for faster decision-making.
Key actions included:
✅ Creating dynamic SKU-level reporting dashboards, offering real-time insights into individual product performance.
✅ Automating hourly data updates, reducing reliance on static, outdated reports and increasing responsiveness.
✅ Implementing a CSV search parser, enabling teams to easily search and filter groups of SKUs, streamlining workflows and decisions.
The solution helped Home Depot capture more value from its online sales, particularly during high-traffic events like Black Friday, leading to a more efficient, data-driven approach to inventory and pricing..
Results
Increased app engagement by 30%, with Category Managers leveraging insights to drive more informed decisions.
Enabled faster response times during peak sales periods, optimizing inventory and pricing decisions in real time.
Reduced ad-hoc reporting requests by 50%, freeing up analytics teams for higher-value strategic initiatives.