Resources
Commerce AI & operations knowledge
Practical answers for teams running orders, inventory and fulfillment: what to look for when connecting systems, when AI actually helps, and how to choose the right kind of software.
AI in commerce operations
What is an AI commerce operations platform?
The term is used loosely. Here is what it has to mean to be worth anything.
What controls should exist before AI acts?
Rules, approvals and a record of every run — and why the order matters.
Direction
What is Operational Memory?
What happened, what was decided and what resulted — and how that differs from an audit log and from RAG. A stated direction for mPorts, not a shipped capability.
Implementing AI
What is an AI forward deployed engineer?
The role, when a company needs one, and how it differs from consulting.
Why AI projects stall after the prototype
The gap between a working demo and AI that does a real job every day, and what closes it.
Being found and understood by AI
What is generative engine optimization?
What GEO is, and how it differs from SEO in failure mode rather than technique.
Why AI needs verified company knowledge
Why publishing more content before the knowledge is correct makes things worse.
Commerce systems decisions
Does an OMS replace an ERP?
The boundary, and why the question comes up so often.
B2B marketplace vs distribution platform
Two things that get called the same thing, and the difference that matters.
Connect in one place, or connect each system separately?
Why the fastest way to build your first connection is the slowest way to build your twentieth.
What do retailers require before a new product can go live?
What “catalog readiness” means, and why it has to be redone for every retailer.
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