Ace Your Inventory KPIs with Cloud-based Automation, o9, and BEAT

The company has stores located worldwide – some of them directly owned and some managed by third-party affiliates. Each store moves a massive amount of inventory around the globe daily. They depended on regular information and updates on sales, receipts, adjustments, and in-transit details to make accurate inventory requirement predictions at the store, regional, and geographic levels. But due to a lack of timely and accurate data, they faced challenges in planning sales and inventory transfers. Additionally, the company’s current analytics platform was based upon a legacy Teradata implementation, lacked information on digital transactions, and did not cleanly integrate with a cloud environment. <img src="https://images.prismic.io/gspann/be8f2598-1534-4c45-a52d-0e67b820939f_Image+1-+Pipelining+Architecture+Developed+in+Partnership+with+the+Company.png?auto=compress,format" > The company needed to consolidate and cleanse the acquired data and send it to an analytics dashboard to make visualizations. Further, the company needed a system to capture end-to-end inventory and sales data so that information was visible across all stages. In short, the company needed to: <ul><li>Move quality integrated KPI data to its end-users: Since data is gathered from thousands of stores worldwide, it arrives across the sales regions at different times. Another complication was that the company did not own all their stores. Hence, they needed a solution to integrate all data and provide it to the data consumers while ensuring high quality.</li> <li>Gain end-to-end inventory visibility on a cloud-based infrastructure: The company was looking for an implementation that would provide direct end-to-end access to KPA/KPI data that matched the performance of its current system. Further, they needed help in transitioning to a cloud-based infrastructure.</li> <li>Access to accurate and comprehensive KPI data: The company based its sales predictions and inventory transfer decisions upon incomplete information since the old system did not include digital transactions. Access to a wide range of high-quality KPI data would allow them to make better decisions when fulfilling the inventory needs of their sales regions, affiliates, and stores.</li> </ul>