What it sells
AI-powered demand forecasting for retail
Business model breakdown
Buyer: who owns the budget?
UnverifiedSupply chain / planning / inventory leaders at enterprise retailers (inferred; fashion retail case study).
Trigger: what makes them buy now?
Shortages and overstocks plus manual planning work; site pitches freeing resources and avoiding excess costs.
Workflow: what inputs become what output?
AI forecasts demand by product, category or location (including weather), recommends rebalancing and replenishment, automates repetitive planning tasks, and shows KPIs in a control tower dashboard.
Economics: what it saves and how it charges
Enterprise software; marketing claims 10x cost reduction, 25x ROI, 92% average forecast accuracy on implementation.
Distribution: how it reaches customers
Demo-led (Get a demo) with impact calculator; enterprise deployments.
Funding history and coverage
| Round date | Stage | Amount | Investors | Source |
|---|---|---|---|---|
| — | Y Combinator Fall 2024 | — | Y Combinator | ycombinator.com |
Profiles summarize public reporting and company websites. Business-model notes are MaxBC's reading of that material, not confirmed facts; unknowns are left blank rather than guessed. Updated 2026-10-12.