Case Study: Leading Drugstore Retailer achieves 21% improvement in forecast accuracy and streamlines promotion planning with Kinaxis

Leading Drugstore Retailer - Customer Case Study

A leading drugstore retailer with hundreds of locations faced a major challenge: its 15-year-old promotion planning process relied on multiple linked Excel spreadsheets and manual work, forcing category managers to spend about 70% of their week on administrative tasks. That left little time for market research, scenario planning or post-promotion analytics, preventing the team from optimizing promotions to meet today’s higher customer expectations for selection, price and value.

By implementing Kinaxis’ promotion planning and optimization solution (enhanced with Rubikloud AI/ML), the retailer eliminated manual Excel work, automatically replicated past plans, and enabled fast what-if scenarios with demand forecasts to optimize for volume, sales and margin. The platform delivered strong adoption (70% of active users daily), empowered data-driven decisions and improved forecast accuracy by about 21%, freeing category managers to focus on strategy and improving supply-chain responsiveness.