Problem
To improve a retail corporation inventory management, Stockout Indices were calculated for both core and campaign-driven products. By quantifying stockouts, the goal was to optimize replenishment strategies and better align inventory levels with business demands.
The project faced challenges with complex data processing for calculating Stockout Indices, causing delays in replenishment and affecting the availability of essential and campaign-driven products, leading to customer dissatisfaction and missed sales opportunities.
Improving data flow consistency and accuracy became critical to support business needs, minimize risks, enhance customer sales.
Solution
To address these challenges, the project focused on automating the data processing for Stockout Indices, enhancing accuracy and response time through advanced tools. Automation ensured continuously updated stock levels and indices, providing timely, reliable data for informed replenishment. This streamlined approach improved efficiency, and enhanced sales increase and customer satisfaction.
Results
The implementation of automated Stockout Indices greatly improved replenishment efficiency and decision-making at stores. By ensuring timely, accurate availability of stockout indicators, replenishment managers gained reliable data for strategic purchases and optimized supplier orders. This enhanced product availability, reduced costs, improved margins, and strengthened customer satisfaction.
Faced with challenges in managing essential and campaign-driven products, the retail company turned to automated Stockout Indices. This change delivered timely, accurate insights, boosting inventory accuracy and streamlining replenishment decisions. Improved business continuity, cost reduction, protected margins, and happier customers with consistently stocked shelves.