Initial Shipment Decisions for New Products at Zara

Jérémie Gallien · Adam J. Mersereau · Andres Garro · Alberte Dapena Mora · Martín Nóvoa Vidal

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Supply Chain and Inventory Management Logistics and Transportation Systems Facility Location and Emergency Management

Abstract

Given uncertain popularity of new products by location, fast fashion retailer Zara faces a trade-off. Large initial shipments to stores reduce lost sales in the critical first days of the product life cycle, but maintaining stock at the warehouse allows restocking flexibility once initial sales are observed. In collaboration with Zara, we develop and test a decision support system featuring a data-driven model of forecast updating and a dynamic optimization formulation for allocating limited stock by location over time. A controlled field experiment run worldwide with 34 articles during the 2012 season showed an increase in total average season sales by approximately 2% and a reduction in the number of unsold units at the end of the regular selling season by approximately 4%.

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References

1996Reducing the Cost of Demand Uncertainty Through Accurate Response to Early Sales 2001Integrating Replenishment Decisions with Advance Demand Information 2009Inventory Management of a Fast-Fashion Retail Network 1998Clearance Pricing and Inventory Policies for Retail Chains 1997Improved Fashion Buying with Bayesian Updates 2012Clearance Pricing Optimization for a Fast-Fashion Retailer 2008Relaxations of Weakly Coupled Stochastic Dynamic Programs 2008Retail Supply Chain Management

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