One warehouse for stock, orders and margin
across every product line and warehouse
A supplier running several product lines and warehouses usually has stock numbers in an ERP, orders in a separate system, and margin that nobody has actually reconciled against delivery cost. We put it into one warehouse, build dashboards on stock turn and margin by product line, and give you an AI analyst who answers real questions with real numbers.
Why building materials suppliers lose money today
A supplier running several product lines and warehouses generates data everywhere and a single picture nowhere: an ERP tracks stock and cost of goods, an order system logs sales, and delivery cost data sits in a logistics spreadsheet or an invoice nobody has reconciled against the sale it belongs to. Industry benchmarks for multi-warehouse distribution suggest a meaningful share of real margin erosion stays invisible to a simple sales report, since delivery cost by zone rarely gets joined back to the order that generated it.
The second problem is stock turn visibility. Some product lines move fast and tie up little capital, others sit on a shelf for months, but without a dashboard showing turn rate by product and warehouse, slow-moving inventory quietly ties up cash until someone does a physical count and finds a backroom full of a material nobody has ordered in a quarter.
The third is that operational questions, which product line actually makes money after delivery cost, which warehouse has the best turn rate, usually require someone who knows SQL and has access to both the ERP and the order system, which means the answer takes a day instead of a minute, if anyone asks at all.
A fourth problem shows up when a supplier adds a second warehouse or a new product line: the spreadsheets and manual checks that just barely worked for one location stop working once there is a second to compare against, and the numbers for both quietly stop agreeing with each other.
What we build for building materials suppliers
A single warehouse that joins your ERP, warehouse management system, order data and delivery cost records into one place, with a daily sync and backfill so history is never lost. Each source gets a raw layer first, then marts built around the questions that actually matter: orders, stock turn, margin by product line after real delivery cost, and slow-moving inventory flagged by warehouse.
Dashboards surface what an operations manager needs at a glance: stock turn trending by product and warehouse, margin broken out by product line and delivery zone, and a slow-moving inventory list so capital tied up in a shelf nobody is buying from gets caught before it becomes a write-off. An AI analyst sits on top in Telegram, answering questions like “which product line had the worst margin last month” or “what’s our stock turn for warehouse B” with the SQL query it ran shown alongside the answer.
Typical integrations: your ERP or warehouse management system, order and CRM data, delivery cost records (API, invoice export, or a logistics spreadsheet), and Telegram for alerts and the AI analyst interface.
For suppliers running more than one warehouse, the warehouse normalizes each location’s reporting format into one schema, so a comparison between warehouses is an actual apples-to-apples query instead of someone manually lining up differently structured reports by hand.
For suppliers who extend credit terms to regular contractor accounts, the same warehouse can join accounts-receivable aging to the order and margin data, so a management team can see not just which product lines are profitable but which large accounts are both high-volume and consistently slow to pay, a combination that looks fine on a sales report and considerably less fine once the actual cash-collection timeline is factored in.
What stays with humans
The dashboards show where margin is thin and where stock is sitting too long; they do not decide to discontinue a product line, renegotiate a supplier contract, or set a new delivery pricing structure. Those remain calls for your management team, made with real numbers behind them rather than a quarterly spreadsheet that was already out of date by the time anyone opened it.
Price and timeline
| Model | Price | What it covers | Timeline |
|---|---|---|---|
| Agency runs it | from $2,500 | We build and maintain the warehouse and dashboards; adjustments included for the first month | 3 to 6 weeks |
| Full control, handover-ready | from $4,250 | Same build, plus full database access, documentation and a written handover for your own team | 4 to 7 weeks |
Related
Pair this with an AI agent for building materials suppliers so contractor-facing stock and price answers come from the same clean data, or a website for building materials suppliers to display accurate live stock drawn from the same warehouse. The inventory alerts and reorder automation covers the reorder side of the same stock data. See the full package breakdown on the analytics service page, read about recovering and rebuilding a factory’s ERP data self-hosted in the factory ERP recovery case study, or get a written plan with a fixed price for your business.
FAQ
What does it cost to start?
A Warehouse plus dashboards build starts at $2,500 and takes 3 to 6 weeks: connectors to your ERP, warehouse system and order data, marts and dashboards on stock turn and margin. A lighter tracking audit alone starts at $800 if you want to see the gaps first.
Can it show true margin after delivery cost, not just list price minus cost of goods?
Yes. The warehouse joins each order's cost of goods to the actual delivery cost for that zone, so the margin dashboard reflects what an order actually earned, not a simplified number that ignores how far it had to travel.
Does this work with our ERP or warehouse management system?
We connect to most ERPs and warehouse systems that expose an API or a reliable export, including custom and self-hosted systems. We have recovered and rebuilt a factory ERP from a lost cloud account before, so we are comfortable working with imperfect source systems.
Can the AI analyst answer questions about a specific product line or warehouse?
Yes, as long as that data exists in your ERP or warehouse system. It runs guarded, read-only SQL against a prepared data mart, one query at a time, and shows the query it ran so you can verify the answer.
Is our order and customer data kept private?
Yes. The warehouse lives in your own database, under your account, and the AI analyst runs on a read-only role with no write access and no way to export raw customer data outside the guarded query layer.