Case Study: a leading manufacturer and distributing company improves demand forecast accuracy with QueBIT and IBM Planning Analytics

Leading Manufacturer and Distributing Company - Customer Case Study

QueBIT worked with a leading manufacturer and distributor of branded food products with nationwide operations that was struggling to respond to the rapid disruption caused by the COVID-19 shutdown. The company needed a better way to create meaningful financial plans amid shifting consumer behavior, reopening uncertainty, and changing business drivers, and used IBM Planning Analytics with QueBIT Euclid Studio as part of the effort.

QueBIT delivered a driver-based planning and predictive modeling solution built on IBM Planning Analytics and enhanced with Euclid Studio to identify the real mathematical drivers of sales and test multiple demand and reopening scenarios. The result was a 12% improvement in forecast accuracy at the sales channel and product category level, giving the client greater confidence in business decisions, better operations planning, and a foundation to expand modeling down to the SKU level.