Probabilistic demand forecasting. GenAI product content. Agentic merchandising. Semantic and agentic search. Personalization. Store-ops computer vision. Built in your stack, against your KPIs.
Each is a system we've shipped or have direct shipped credibility for. We don't take engagements outside this surface area unless we can name an adjacent build we've already done.
SKU-store-week probabilistic forecasts that drive allocation, replenishment, and open-to-buy. Recommendation systems shipped across thousands of stores with department-level precision.
PRIMARY KPI · On-hand · Sell-through · OOS rate
Product copy, attribute extraction, multilingual content, and merchandising-grade GenAI with brand-voice grounding. Eval pipelines that catch hallucinations before they hit production.
PRIMARY KPI · Content velocity · Quality acceptance
Agent workflows for assortment review, markdown recommendation, and exception management. Built with deterministic policy layers and merchant-in-the-loop escalation.
PRIMARY KPI · Margin · Markdown depth
Semantic search, query understanding, and conversational discovery for e-commerce — built for retrieval quality and conversion, not just relevance scores.
PRIMARY KPI · Conversion · Search abandonment
Retail is less regulated than insurance or healthcare, but operationally unforgiving. Our governance frame is the P&L — gross margin, on-hand, sell-through, markdown depth — not a regulator's checklist.
Where regulation does apply (consumer privacy, retail media measurement, generative ad content), we apply the same audit-readiness discipline we use in insurance and healthcare.
Our founding team shipped AI inside a Fortune-100 retailer's merchandising and supply-chain organization, including a SKU-store-week recommendation system fine-tuned per store and department across thousands of locations.
Most first conversations are 30 minutes with a senior partner. We'll tell you whether it's a fit, whether AI is the right answer, and what we'd build first.