Case Study: AvidMax achieves accurate demand forecasts and seasonal inventory readiness with Rithum

Anticipate Future Inventory Needs with Demand Forecaster

AvidMax, a Centennial, CO–based fly fishing retailer with both a storefront and e-commerce site, needed reliable sales forecasts to avoid stockouts during regional fishing seasons. Without a data-science team and after finding a previous forecasting tool that missed lost-sales from out-of-stock periods, the company risked losing customers who needed gear immediately.

They implemented ChannelAdvisor’s Demand Forecaster, a machine-learning tool that provides product-level, time-based sales predictions inside the ChannelAdvisor platform. The Forecaster delivered actionable insights for purchasing and seasonal planning, required no extra prediction fees, and helped AvidMax make better inventory decisions to prevent stockouts and capture more seasonal sales.

AvidMax

Brady Laehr

Director of Purchasing