Your inventory dashboard, built and run for you.
We build AI agents that reconcile your ERP, the customer-service inbox, and your supplier and port portals into one command center — so your team sees delays, margin risk, and stock truth without learning Power BI.
Official services partner of the platforms defining AI
NVIDIA
Anthropic
Living and dying by the Excel order book.
From distribution leaders we have sat with: a CIO running three operating companies from one shared inbox, and a commercial director at a family-owned chemical distribution group with four entities across the US and Europe. Both run the week from Excel order books, email, and portal logins.
The order book is the real system
“Our operations are living and dying by our order books and inventory.” The business has been trying to replace those spreadsheets for years — they are still where the truth actually lives.
The facts never reach the ERP
A customer moves a delivery date, a vessel slips a week, and the news lands in the shared inbox — the correspondence for stuff that doesn’t get into the ERP, where no report will ever find it.
The ship is late; the meeting finds out
“This ship is delayed by X days, this is going to affect these customers, this is how you should prioritize” — today that triage happens in someone’s head, after the delay email is noticed.
Six portals, one login each
Stock at the terminals lives in six or seven port-terminal portals, each with its own login and its own report format. Someone pulls every one by hand before the number can be trusted.
The margin question nobody flags
“When we look at the inventory costs, we’re looking at it per metric ton — we worry about the cost per ton.” When the average cost sits too close to the selling price, that stock has to move fast — and today nobody flags it.
The chemical ERP swap won’t fix the view.
The ERP you are replacing at year-end never read the inbox or the port portals — and the new one won’t either. Even a simple question — what do we have, what is late, what is at risk — means asking someone to pull a report, and the answer lands hours or days later. Meanwhile the costs below compound every month you wait.
From anonymized engagements — a multi-entity distribution holding company with three operating businesses, and a family-owned chemical distribution group across the US and Europe
We build your supply chain control tower.
The enterprise vendors sell control towers as six-figure software programs. We build yours as AI agents inside your own cloud — reading the ERP, the inbox, and the portals you already have — and stay on as the operating partner that runs it with you.
- 01
Trace one operating week
We follow the questions your leaders actually ask — what is in stock, what is late, what is at risk — from order book to inbox to portal, and log every place the answer breaks.
- 02
Encode the rules
Cost-per-ton margin floors, delay triage, customer priorities, capacity limits — documented against your contracts and encoded as rules you own, not settings inside rented software.
- 03
AI agents run the view
Agents read the ERP, the inbox attachments, the port portals, and the price feeds every morning; every vessel row carries its voyage, bill of lading, and container number; flags land with the rule they broke, and a person approves before anything writes back.
Inventory forecasting software rents you the engine. Your rules are the product.
Search the problem and the first page teaches you to build the dashboard yourself — Power BI tutorials, templates, design galleries. Licensed forecasting software ships generic models that cannot see your port portals, your shared inbox, or your cost-per-ton rules, so your team becomes the integration layer.
We build the AI agents in your cloud, against your data, on rules encoded from how your business actually runs. You own the IP; your team gets the view without learning Power BI; and we stay on to run it with you.
Our operations are living and dying by our order books and inventory.
Led by Peter Enestrom.
Asked about inventory visibility software.
The straight answers, before you book anything.
An inventory dashboard is one screen that answers the questions leadership asks every day — what do we have, where is it, what is late, what is at risk. Ours is not a BI template: AI agents do the reconciling a person would do — ERP purchase orders, delay emails in the shared inbox, stock reports from supplier and port portals — so the number on the screen is already checked, not just displayed.
No. The DIY route — tutorials, templates, a Power BI or Tableau person on staff — is exactly what this replaces. We build the dashboard and the AI agents behind it, and we stay on to run it with you. Your team reads the view and decides; nobody maintains queries, refreshes datasets, or learns a BI tool.
Yes — that is the normal case, not the exception. Agents read the delay emails and their attachments the way a person does, and where a portal offers no API they work through browser sessions and scheduled exports. Voyage number, bill of lading, and container number come off the documents and onto the vessel row, so a delayed ship shows which customers it hits and how to prioritize.
Yes, and that is where the view earns its keep. Because the agents reconcile predicted sales, inbound vessels, and capacity against each other, you can plug in the delay or the extra sale and see whether you end up overstocked or understocked — before you commit, not after the tank is full.
No — the AI layer sits on top of whatever ERP you run, the old one today and the new one after the swap. The rules, the inbox reading, and the portal connections survive the migration; only one connector changes. Waiting for the new ERP just means another year of running the business from the order books.
Inside your own cloud — your Azure tenant, with the models deployed privately, service accounts instead of personal credentials, and an audit trail on every action. Nothing writes back to the ERP without a person approving it: the agents flag, the rule they broke is attached, and your team decides. We run it with you, as the operating partner, not as a vendor you license.
Start with one workflow.
Tell us where your team loses hours. We will come back with a straight answer on whether AI can help, what it would take, and what it would pay.