1. Data-Driven Inventory Control and Integrated Employee Involvement for Special Buys at ALDI SÜD Germany.
- Author
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Tschan, Alex, Hetzel, Lars, Eisinger, Ralf, Eggen, Carolin, Heuser, Claudia, and Fritz, Victoria
- Subjects
PRODUCT life cycle ,EMPLOYEE selection ,EMPLOYEE participation in management ,JOB involvement ,DYNAMIC programming ,STOCHASTIC programming - Abstract
ALDI SÜD Germany launched a data-driven project with solutions to optimize product ordering and inventory clearance across the product life cycle, integrating employee engagement for special buy products. This initiative has significantly improved efficiency, saved millions, and supports 40,000 employees in daily operations. As a subsidiary of the ALDI SOUTH Group, ALDI SÜD Germany launched the data-driven special buys project in response to pandemic-related supply chain disruptions, market shifts, and growing competition. This initiative combines advanced analytics and operations research with employee engagement to optimize product life cycles of special buys products. The solution components include (1) multiperiod mixed-integer optimization (MIP) models for product order decisions to warehouses; (2) XGBoost classification for store product allocation (SAM); (3) a proprietary algorithm (ANA) for just-in-time reallocations between stores; (4) a multiperiod dynamic programming model (DAVE) developed in 2021 for nationwide inventory clearance; (5) an advanced version for inventory clearance, the DAVE stochastic dynamic programming model (DAVE SDP), introduced in 2023; (6) a multivariate regression model for budget allocations for markdowns on small product leftover quantities for incorporating store employee involvement; and (7) a smartphone application (Market-Whispering) to engage 50,000 employees in product selection. This paper focuses on the MIP, which optimizes the decision on stock order quantities to warehouses. We examine this in conjunction with ANA and DAVE because of their significant influence on operational efficiency. For DAVE, we examine two variants: the reference model DAVE and DAVE SDP. The project faced coordination challenges and required a strategic shift from decentralized to centralized approaches. Proprietary software for the special buys product range improved operational efficiency, positively impacting the daily operations of 40,000 store employees, and led to annual savings of several million euros in Germany. [ABSTRACT FROM AUTHOR]
- Published
- 2025
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