
Technology
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Supply Chain Automation
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YC W26
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Valuation:
Undisclosed

Last Updated:
March 24, 2026

Builds an AI-native platform that uses ML agents to automate supply chain operations for fast-growing CPG brands: order processing, demand forecasting, inventory optimization, and fulfillment.
Real-time demand forecasting, inventory optimization, end-to-end order automation, automated fulfillment path selection. $33K MRR in 4 weeks, 12 brands, 130% week-on-week growth. Design partner phase with 15+ CPG brands. Mission: give CPG brands hands-free supply chains that run themselves.
USPTO trademark filings confirm expansion into forecasting, inventory, procurement. SDK development signals future developer platform. UK grocery and DTC channel expansion via FMCG trade media. Lean team building toward mid-2026 commercial launch.
AI-driven demand forecasting that predicts sales volumes across channels and SKUs in real time to optimize production planning and prevent stockouts.
The platform watches sales signals across every channel and tells brands exactly how much of each product to make and when, before shelves go empty or warehouses overflow.
It's like having a weather forecaster for your inventory who actually gets tomorrow's weather right, so you never bring an umbrella on a sunny day or get caught in a downpour without one.
AI agents that autonomously process inbound orders end-to-end—from intake and validation through optimal fulfillment routing to invoicing—without human intervention.
An AI agent reads every incoming order, picks the fastest and cheapest way to ship it from the right warehouse, and handles all the paperwork automatically so humans never have to touch it.
It's like having a hyper-efficient postal worker who not only sorts every package instantly but also picks the best delivery truck, negotiates the route, and mails the receipt—all before you finish your morning coffee.
ML-powered inventory optimization that dynamically balances stock levels across warehouses, 3PLs, and retail channels to minimize waste, prevent stockouts, and maximize working capital efficiency.
The AI constantly reshuffles where your products sit across warehouses and stores so you never have too much in one place and too little in another, keeping everything fresh and customers happy.
It's like playing Tetris with your warehouse shelves, except the AI never lets a block pile up too high and somehow always knows which shape is coming next.
Chris Kong is a 2x Founder (Forbes 30U30) who was ex-CEO at Better Nature and scaled a CPG brand to 5,000+ stores. Dirk Breeuwer is an ex-Google Data & AI Lead. Matthew Collins is ex-Head of Product at Rosemark with a Princeton MEng in CS. A founder who scaled a CPG brand combined with Google AI infrastructure expertise provides both operational empathy and technical depth.