Retail, Consumer & Hospitality
Consumer businesses need AI across demand, service, merchandising, pricing, loyalty, and operations.
AI use cases
Demand and inventory forecasting
Reduce waste, stockouts, overstock, and bad replenishment calls.
Personalization and recommendations
Personalize storefronts, offers, menus, loyalty, search, and service flows.
Pricing and promotion optimization
Use demand, margin, stock, and competitor signals without losing control.
Customer service agents
Resolve order, booking, return, loyalty, and support requests across channels.
Store and operations vision
Monitor shelves, queues, safety events, product placement, and service conditions.
Marketing content systems
Generate campaign variants, product copy, creative briefs, and approvals at scale.
Selected work
Virtual try-on inside an e-commerce flow
A DivHacks-winning build with semantic search, cross-platform scraping, and try-on vision inside the shopping flow.
Pattern finding in consumer matching
We analyzed platform data to find matching inefficiencies and built a predictive model around them.
Have a problem in Retail, Consumer & Hospitality? Let’s map it.
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