Case Study: Chef Works achieves better forecast accuracy and lower inventory costs with TransImpact

Chef Works reduces inventory carrying costs with TransImpact's 350+ AI forecasting algorithms

Chef Works, a leading global provider of culinary apparel, faced challenges managing global inventory with a lean team using outdated tools and relying solely on historical sales data. This made accurate forecasting difficult and strained operations during a period of rapid growth. They partnered with TransImpact to implement its AI-driven Demand Planning platform.

TransImpact’s solution provided a scalable forecasting system that automated processes and used over 350 algorithms to improve SKU-level accuracy. This enabled the Chef Works team to transition to proactive planning. As a result, they significantly increased forecast accuracy, reduced global inventory carrying costs, and streamlined management while maintaining high service levels.

Chef Works