Case Study: Safelite AutoGlass achieves 99.8% forecast accuracy with QueBIT and IBM Analytics

Driving smarter business planning with deep insight and process automation from IBM Analytics

Safelite AutoGlass partnered with QueBIT to improve planning and forecasting across its nationwide network of stores. As the largest auto glass specialist in the United States, Safelite needed more accurate store-level demand forecasts and a better way to allocate staff, inventory, and resources in response to changing conditions.

QueBIT helped Safelite implement IBM Cognos Business Intelligence, IBM Cognos TM1, and IBM SPSS Modeler Gold to create a more collaborative, automated planning process. The new solution cut manual work by 50 percent, reduced budget cycles by 40 percent, saved 450 person-hours annually, improved sales forecast accuracy to 99.8 percent, and increased field manager satisfaction with the budgeting process by 17 percent.

Safelite Autoglass

Mike Lyons

Director of Financial Planning and Analysis