After successfully automating their inventory management, our e-commerce client still faced a bottleneck. Their sales data from two major platforms - Amazon and Walmart DSV - was being processed manually. With an increasing product range and growing sales, collating and interpreting this data became cumbersome, time-consuming, and error-prone.
Our Solution
Building on our previous success with the client, WrightAutomation devised an end-to-end solution that would retrieve and present the sales data in an efficient and user-friendly manner.
Dual Platform Integration
- Our Python-based tool was hosted in the cloud, ensuring 24/7 uptime and daily execution.
- It seamlessly integrated with both the Amazon Sellers API and the Walmart DSV API, allowing for automated extraction of the sales data per item.
Google Sheet Data Management
- The tool used an input Google Sheet to identify the range of items for which sales data was to be retrieved.
- Post data extraction, the sales results were then written into a new datasheet.
- This new datasheet wasn’t just a passive collection of numbers; it was augmented with visualizations. Users could instantly observe key metrics per item and compare performance across platforms, empowering them with actionable insights.
Conclusion
Our automation solution transformed the client’s sales data management process. What was once a laborious manual task now operated like clockwork, delivering daily insights directly into a well-organized Google Sheet with powerful visualizations. WrightAutomation continues to reinforce the belief that with the right tools, businesses can reclaim time, reduce errors, and stay ahead in a competitive landscape.