Case Study: Multi-National Food Company achieves 92% forecast accuracy and 30% reduction in lost sales with ToolsGroup

Improved Supply Chain Planning Leads to Dramatically Fresh Results

Multi-National Food Company, a global food group operating in 120+ countries, faced unreliable forecasting of trade promotion and media “lift” that drove more than 30% of volume and nearly 70% of forecast inaccuracy, compounded by poor coordination among sales, demand planning, account teams and finance. They engaged ToolsGroup to deliver a more reliable demand-forecasting platform to model promotional and media impacts and unify cross-functional planning.

ToolsGroup deployed a solution combining Demand Planning, Machine Learning, Inventory Optimization, Replenishment and demand sensing to predict promotional uplift and align marketing, sales, supply chain and finance. The rollout cut forecast error by 20% (raising accuracy to 92%), reduced lost sales by 30% (service levels to 98.6%), cut product obsolescence by 30%, improved Net ROI (to +6% and then 8%), increased promotional uplift and halved demand planners’ workloads—delivering clear, measurable efficiency and service gains.