In this episode of Retail Maverick Shorts, we explore the Assortment Planning Conundrum and how AI can help retailers strike the perfect balance between store clusters, store-level operations, and consumer-centric assortments.

As customer demands for variety and convenience continue to rise, retailers are faced with the challenge of meeting these demands while remaining operationally efficient. Hyper-local retailing is becoming increasingly important, and an AI-driven approach to assortment optimization can help retailers achieve a more effective and efficient balance. By analyzing store-level shopper data, retailers can bring consumer-centric assortments to life while meeting business goals and adhering to store-level and national-level constraints and merchandising rules.

Related content you might be interested in:

• Progressive Grocer - Innovating Category Management: Assortment as a Service
• Retail Assortment: How AI is used in Basket Builder and Conversion Builder Strategies
• Do Current Assortment Optimization Methods Create Store Sacrifices?
• Solving the Assortment Optimization Conundrum: Balancing Hyper-Local Retailing with Store-Level Operations