I built PMOmentum because the tools didn't exist.

The problem, from inside it

Here's a scene every supply chain PM knows. It's late in a WMS implementation. An EDI certification is slipping, the sponsor wants an honest read on go-live by Friday, and the truth of the project is scattered across five tools — the plan in one, the risks in a spreadsheet, the real story buried in meeting notes and email threads. Nobody is lying on the status report. It's just that assembling the truth takes so long there's no time left to act on it. I've lived some version of that week more times than I want to count.

Eventually the realization lands: the tools are the problem. Generic PM software is built for software teams shipping features — it doesn't know what an EDI 940 is, why a carrier integration sits on the critical path, or what it means for the go-live date when UAT starts surfacing inventory-sync defects. And the AI copilots are worse in a sneakier way: they'll summarize any transcript you hand them, confidently, with no idea which commitments in it actually threaten your cutover.

What PMOmentum is, in one sentence

It's the workspace a supply chain project actually runs in — plan, risks, actions, vendors, EDI certifications, testing, cutover — with AI that does real PM work inside it: it reads your meetings and documents and pulls out the commitments, drafts the vendor chase and the sponsor update, writes the status report from live project data, and tells you which slips move your go-live date. And you stay in charge: the AI drafts, a human reviews and sends. Always.

Why the AI is different

Generic AI knows what an action item is. It doesn't know what OTIF non-compliance costs you with a major retailer, what DSCSA serialization means for a pharma DC's receiving process, or why a 3PL running multiple clients in one warehouse carries integration risks a single-tenant operation never sees. PMOmentum's knowledge layer holds 380+curated entries — EDI transaction specs, WMS configuration patterns, regulatory frameworks, vendor landscapes, and the failure patterns I've watched play out on real projects. Every AI call in the product — extraction, status reports, risk identification, sponsor briefings — runs against that corpus. That's the difference between AI that sounds like a PM and AI that works like one.

Why it stays narrow

PMOmentum is supply chain project management, sold to the people who run supply chain projects — not a horizontal platform with a supply-chain template pack. Staying narrow is the point: it's why the AI can be genuinely good instead of generically helpful, and why the product prices on the value of PM capacity instead of racing to the bottom per seat. I'd rather serve ten 3PLs exceptionally well than ten thousand teams adequately.

What I owe you, as a customer

Three things. First: honest pushback. If something doesn't work, I'll tell you — and if a feature you want would make the product worse, I'll explain why before I build it. Second: speed. There are no layers between you and the person who ships the code, and that is the single biggest advantage a specialist has over an enterprise vendor's roadmap. Third: your data stays yours. Your documents and lessons feed your organization's AI context and nobody else's — the shared expertise in the corpus comes from my years in this industry, not from mining customers.

— Melinda MartinFounder, PMOmentum

See it working.

The live demo is a fully populated supply chain portfolio — no signup, no sales call.

Prefer your own project? Start a 14-day trial · or reach me directly: melinda@getpmomentum.com