We're an inventory & AI consultancy for consumer-products operators who are relocating supply bases, cutting working capital, and under orders to make AI pay for itself before next quarterly review.
Demand forecasting is a data problem before it's a model problem.
If your item master is messy, your promo lift is uncategorized, and your sell-through data lives in 14 places, no foundation model is going to save you. We fix that first — then add the intelligence.
Safety stock is where finance and ops quietly disagree.
Service levels say "more." Working capital says "less." Multi-echelon optimization isn't a tool purchase, it's a governance conversation. We bring both teams to the same number.
Supplier diversification is a two-year project, not a press release.
Moving production out of one country and into three takes qualification cycles, landed-cost rebuilds, and DC network redesign. We've run the playbook; we don't sell hope.
An AI roadmap should fit on one page and pay back in one year.
If your "AI strategy" needs a steering committee to read it, it won't ship. We pick 3–5 use cases, size them in dollars, and tell you which one to start Monday.
AI-augmented forecasting, multi-echelon inventory optimization, S&OP redesign, and SKU rationalization — for portfolios with thousands of items and dozens of retail customers.
Supplier diversification, country-of-origin strategy, tariff scenario modeling, network redesign, and carve-out / stand-up programs for separating business units.
Use case discovery, agentic workflows for procurement and customer service, document & contract intelligence, generative AI governance, and pragmatic deployment.
Master data management, inventory control towers, retailer data integration (Retail Link, Vendor Central), and BI modernization. Boring on purpose.
The AI Opportunity Assessment is a 4-week, fixed-fee sprint that ends with 3–5 use cases, sized in dollars, sequenced by ROI, and ready to go to your CFO.
Start the AssessmentMost relocation plans underestimate the qualification cycle by 60–90 days. Here's the operational math we've seen across five mid-cap brands.
Read field note Forecasting · AI Mar 2026 · 6 min readIt's not the model. It's the inputs. A practical guide to layering ML on top of statistical baselines without ripping out your IBP investment.
Read field note M&A · Operations Feb 2026 · 10 min readWhen a business unit separates, inventory ownership and shared SKU exposure become the messy middle. A field guide for operators.
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