This is like giving your supply chain a set of always‑on, ultra‑observant eyes and a smart brain that constantly checks what’s happening in stores and warehouses, predicts problems (like stockouts), and tells your teams exactly what to do to keep shelves full and inventory lean.
Reduces stockouts and overstock, improves on‑shelf availability, and optimizes replenishment by using AI to monitor inventory and supply chain flows in near real time instead of relying on delayed, manual counts and static forecasts.
Tight integration into store operations and existing retail systems, combined with proprietary retail/supply-chain datasets and tuned models for specific retailers, creates switching costs and a data advantage that improves over time.
Hybrid
Vector Search
High (Custom Models/Infra)
Data integration from heterogeneous retail systems and stores, plus compute costs for large-scale forecasting and real-time monitoring across many locations.
Early Majority
Positioned as an AI-native, automation-first layer focused on real-time store and supply-chain visibility, rather than a traditional heavy ERP/SCP suite; emphasizes using AI to directly detect issues and trigger actions, not just provide planning reports.
77 use cases in this application