AI Commerce Operations Platform
mPorts is the AI operating layer for commerce operations: it connects the marketplaces, retailers, ERP, warehouses and carriers you already run, so your team and its AI can see what needs attention, decide, act and verify what changed.
AI operations
Why are these orders stuck?
A person confirms before anything changes
Not a report someone runs. The signals mPorts OMS brings forward on its own, across launch, orders, inventory, fulfillment and cost.
Product launch
Several products are blocked by the same retailer requirement.
Orders
Orders for one retailer stopped moving after warehouse submission.
Inventory
A channel is still selling stock one warehouse no longer holds.
Fulfillment
One warehouse is generating more fulfillment problems this week.
Cost
Storage charges at one warehouse: this month beside last month, by fee type.
Stock age
The oldest stock on shelf at that warehouse, by SKU and lot date.
IllustrativeAn illustration of the KINDS of signal mPorts OMS surfaces across its queues, verdicts and screens, each row named after the screen that shows it. No row carries a real count or amount.
Demand arrives from retailers, marketplaces and your own store. The work happens in ERP, warehouses, 3PLs and carriers. mPorts is the connected middle — and the products you run are inside it.
Where demand arrives
The mPorts Platform
Platform capabilities
Where the operation runs
Each one is a queue, a verdict or a screen in mPorts OMS today, with the reason attached — so the team starts from the cause, not the symptom.
A launch is blocked.
One readiness verdict per launch names the check that failed — a missing mapping, incomplete product data, a category rule — before anyone corrects products one by one.
Orders stopped moving.
The Order Control Tower lists what needs action, where each order is stuck, how long it has been open, and which orders share one system incident.
Two systems disagree.
The channel says stock is available; the warehouse says it is gone. Inventory shows the count at every warehouse next to what each channel is allowed to sell.
A warehouse is generating problems.
Fulfillment gathers everything waiting on a person into one queue, with the issue type, its age and the recommended next step.
A cost is climbing.
Cost Explorer shows what the warehouse billed by fee type, warehouse and month, from the provider’s own records — and checks each charge against your rate card.
Stock is sitting too long.
Days in inventory shows stock age by SKU and warehouse, the units in the oldest band, and what that stock is costing to hold — labelled as allocated.
The same records your team would open, read in one pass — and nothing changes until a person says so.
Why are these orders stuck?
Three orders for one product were rejected at the assigned warehouse. The last inventory update did not reach the channel, so orders kept arriving against the old number.
Recommended — waiting for approval
A person approves before anything changes, and mPorts confirms the result from the external system’s own record.
Manage product launches, inventory, orders, fulfillment and marketplace operations from one connected workspace.
Customer-sensitive information has been redacted from product screenshots.
Equal parts of the same platform. Most companies begin with one.
Run commerce operations
Get products ready for the places you sell, run orders, inventory, fulfillment and shipping across them, and see what the operation costs and earns — with AI that can investigate and act.
Sell to business buyers
Build and operate your own B2B distribution marketplace on your own domain: your suppliers list, your business buyers order, and you run what happens in between.
Marketplaces, retailers, your store, warehouses, 3PLs, carriers and business systems.
Company and product names and marks identify systems mPorts connects with. Their presence does not imply partnership, endorsement, certification or sponsorship; a mark appears only where its owner has granted permission.
Generative Engine Optimization is the practice of making a company’s verified knowledge accurate, structured and citable, so AI systems can understand and correctly represent it. An assessment starts by finding out what they say today.
Where your buyers ask
The same questions, asked of each
What the assessment records
Why mPorts exists
Commerce came first. Distribution made the operation complicated, the complexity demanded better systems, and those systems had to connect to everything else the business ran on.
Once the information was connected, AI could work across it. That order is the company, and it is why the software is opinionated in the places where operators get hurt.
mPorts is an AI commerce operations platform: the AI operating layer that works across the marketplaces, retailers, ERP, order, warehouse and logistics systems a business already runs on, so teams can find problems, decide what to do and take approved action from one place. It sells two products, mPorts OMS and mPorts Distribution, and offers two services, AI Forward Deployed Engineering and Generative Engine Optimization.
The layer between your team and the systems that run commerce. mPorts connects those systems once, builds one operating picture of products, orders, inventory, fulfillment and cost, runs the work in mPorts OMS, lets AI read the same records and act through governed workflows after a person confirms, and verifies in the external system that the change took.
The AI works from a reviewed set of capabilities, not the whole interface. Writes are denied by default; where your policy allows one, it waits for a person’s confirmation and runs through the same workflow a person’s change would. It acts with that person’s own role and permissions, the record says the AI proposed and a person executed, and mPorts then confirms the result from the external system’s own record.
Alongside them. mPorts connects to the systems you already run and keeps them in place. Where you want mPorts to take on more of the operation, mPorts OMS can be the system your team runs products, orders, inventory, fulfillment and shipping in.
mPorts OMS runs orders, inventory, fulfillment and shipping — and also gets products ready for the channels you sell on, shows what the operation costs, and brings forward what needs attention across all of it. AI works from the same records to explain problems and take confirmed action. An OMS keeps the record and shows it to you; mPorts works on it too.
Yes, mPorts lists and launches products — and it goes far beyond listing. mPorts OMS automates product launches to marketplaces and retailers, including Mirakl-run platforms: it maps your product information to each channel’s requirements, fills retailer spreadsheets and submission templates from your data, validates every product and tracks the submission until the channel answers. Listing is the beginning. Once a product is live, mPorts carries the operation forward through orders, inventory, fulfillment, shipping, exceptions, business analytics and AI-assisted operations across your commerce systems.
Each marketplace or retailer connects to mPorts once. Orders and product requirements come in; inventory, tracking and order status go back where the channel supports it. Every connection has its own page saying exactly what it does.
They are services. AI Forward Deployed Engineering is an engineering engagement that puts AI into a real operating workflow inside your systems. Generative Engine Optimization is the practice of making your company’s verified knowledge accurate and citable, so AI systems can understand and correctly describe you.
Which systems, which channels, and where someone checks by hand today. We will show you which layer mPorts would run for you — and say so if it is the wrong fit.