Neural demand forecasting, assortment optimization, dynamic markdown pricing, and autonomous store replenishment.
Modular intelligence microservices that integrate with existing enterprise IT infrastructure.
Multi-echelon demand forecasting ingesting historical POS, localized weather, promotion calendars, and regional inflation signals across 100K+ SKUs.
Clustering stores by localized purchasing behavior and micro-demographics to maximize margin yield per square foot.
Simulating price elasticity curves to schedule automated markdown cadence and protect seasonal gross margin.
Autonomous generation and dispatch of purchase orders directly into SAP/Oracle ERP systems under safety stock guardrails.
Standard deployments integrate with existing ERP, CRM, and cloud data platforms in 8-12 weeks.