THE PATH FROM STOCK TO CUSTOMER
Everything in its place.
Every move accounted for.
Orders, shipments, inventory, purchase, warehouse, and sales share one product master and one validated stock-write path, so every receipt, transfer, and delivery is checked and recorded as a movement.
Every movement belongs to a bigger picture.
Stock activity · Sample movements
- 01Source
- 02Receive
- 03Store
- 04Deliver
Know what you have. Deliver what you promise.
Connect purchasing, product records, warehouse movement and customer fulfillment.
Every part has a purpose.
Here is how it connects.
- 01
Orders and shipments
Orders, deliveries, and shipments run against the same product master the stock counts move, so what was promised and what left the building are one record.
- 02
Inventory with real traceability
Lots, serials, expiry, reorder rules, forecast, safety stock, kits, and units of measure. Barcode scanning and recall work on those same records.
- 03
Purchase
Vendors, RFQs, agreements, purchase orders, receipts, and returns. What is received becomes stock through the same validated write as everything else.
- 04
Warehouse operations
Warehouses, locations, putaway rules, picking, waves, batches, cross-dock, packing, and carriers — with a mobile surface for people on the floor.
- 05
A single validated write
One path changes stock. Every adjustment, transfer, receipt, and delivery passes through it, is validated, and is recorded as a movement with a reason.
- 06
Sales on the same position
Sales orders, deliveries, and customer returns read the same on-hand position finance reads. There is no second number to argue about.
The details
do the work.
- EnginesSingle stock-write chokepoint
- Every stock change is funnelled through one validated write, so no surface — not even the agent — can move quantity around it.
- Data modelOne product master
- Products, units of measure, lots, and serials are shared by purchase, warehouse, sales, and finance.
- PermissionsRole, modules, and user grants
- Receiving, adjusting, and shipping are separate actions with separate authorization, checked server-side every time.
- Agent accessSame authority as the user
- Agaro Agent can create a transfer or a purchase order only where the prompting user could have created it by hand.
- AuditEvery movement recorded
- Stock moves carry their source document, quantity, location, and the identity behind them, which is what makes a count defensible.
- API & MCPOne shared action layer
- Integrations reach inventory through the same guarded actions the product interface uses, not through direct table writes.
What teams ask about Inventory & Supply Chain
What stops stock levels from drifting?
A single stock-write chokepoint. Every movement — a receipt against a purchase order, a transfer between warehouses, a pick for a sales order, an adjustment after a count — is written through one validated path, so there is no second route that can change quantities quietly. That applies to the product interface, Agaro Agent, the API, and MCP equally, because all four reach the same guarded business logic through one shared action layer. Each write is validated, recorded, and attributed to the actor who caused it, so a discrepancy has a history you can walk backwards. The agent works inside that chokepoint like everyone else: it can prepare a transfer, resolve which warehouse and which lot, and execute the movement as you, but it cannot post a quantity the engine would reject from a person.
Can the AI agent receive a purchase or fulfill an order?
Yes, where your role allows it, and through the normal actions. Ask it to receive the Northwind Traders purchase order into the main warehouse and it resolves the real order lines, checks what is still open, and posts the receipt through the same validated stock write the interface uses. Ask it to fulfill a sales order and it does the same on the outbound side, with the movement recorded against the order and the customer. Authority is inherited, not granted separately: same role, same module access, same user grants, same model permissions, same workspace. A warehouse user who cannot approve purchases still cannot approve them by prompting. Anything that leaves the building — a shipment confirmation, a document sent to a supplier — is presented for confirmation, and everything that posts is written to activity history under your identity.
How do purchase, warehouse, and sales stay in step?
They share one record set instead of syncing three. Orders, shipments, inventory, purchase, warehouse, and sales are parts of the same operating record, so a purchase receipt raises available stock that a sales order can immediately commit, and a fulfilled order lowers it for everyone at once. Vendor bills reach the finance engine from the same purchase records, so what was received and what is owed do not have to be matched by hand later. Because the data is already connected, the agent can answer and act in one step: what is short for this week's orders, which supplier has the open line, place the purchase. The same connection keeps the books and the floor honest, since stock movements and the journals behind them come from one transaction rather than two systems agreeing after the fact.
What happens when a movement would be invalid?
It is rejected before anything is written. Validation sits at the chokepoint, so a movement that would take stock below what exists, use a location that is not valid, or reference a closed order fails at the engine stage with a reason — whether it came from a click, a prompt, the API, or MCP. The agent does not get a softer rule set. When the engine refuses, it reports the refusal and what is missing rather than trying an alternative route, because there is no alternative route. Nothing partially applies either: the movement and the records it touches commit in one transaction or not at all. That is the difference between a system where the model executes and one where the model asks and the ERP decides whether and how the action runs.
What is Agaro ERP?
Agaro ERP is an AI native ERP from Agaro Technologies LLC, built so the software can do the work rather than only record it. It covers finance and invoicing, HR and payroll, CRM and leads, marketing, inventory and supply chain, projects and tasks, an website builder, a module builder, and Agaro Agent — one connected workspace instead of a stack of tools that have to agree with each other. ERP has always held the facts: the customer, the price, the hours, the contract, the approvals. Someone still had to find the records, calculate the result, push the buttons, and reconcile what happened. Agaro closes that gap by giving the agent the same authority the prompting user has and keeping deterministic engines in charge of money, pay, and stock. It is in its Preview / Pilot phase.
How does the AI agent decide what it may do?
It does not decide; your access does. The prompting user is the identity and their workspace is the data boundary, and the agent inherits all of it: same role, same module access, same user grants, same model permissions, same workspace. If the user cannot perform an action, the agent cannot perform it. Every prompt follows one path — prompt, identity, access, resolve data, engine, action, audit — and access is checked before any record is read, so a request outside your permissions stops before data is resolved rather than being declined politely after the fact. The model's role is narrow by design: it selects an action, and Agaro decides whether and how that action executes. Anything that commits or delivers is presented for confirmation, and everything that happens is recorded under your identity in your workspace's audit history.
What does "the model never bypasses the ERP" mean?
It means no route from a model to your data skips the business logic. The product interface, the agent, the API, and MCP all resolve to a signed in actor with a workspace, role, modules, and model permissions, then pass through one shared action layer where input validation, authorization, the transaction, and the activity log happen. Only then do the finance, payroll, inventory, CRM, and workflow engines run, against workspace isolated PostgreSQL data and audit history. A button click and an agent tool call reach the same guarded business logic. Practically, that is why the model never calculates an invoice total, a payroll register, or a stock quantity: the engines do, deterministically, and the same request produces the same result whichever route it arrived on. Same identity, same controls, same business actions, one audit trail.
Is Agaro ERP available today, and how do I join the pilot?
Agaro ERP is in its Preview / Pilot phase. We are working with a small group of pilot customers, so the first teams get direct attention while the product matures. We are not publishing a general availability date. Joining the pilot is by talking to us: tell us what you run today, which modules matter first, and we will tell you plainly whether Agaro fits. If it does not fit yet, we would rather say so. Reach Agaro Technologies LLC at info@agaro.ai or +1 (571) 278-8979. The company is based in Brambleton, Virginia.
Is there an AI agent built in?
Yes. Agaro Agent is the AI agent inside the ERP. It finds records, answers questions about your business, prepares supported work such as invoices and task updates, and can propose changes to how your ERP looks and works. It works with the same roles and access as the person who asked, so it can never see or change more than that person can, and it asks before it changes anything.
What can the AI actually do?
Whatever the person who asked can do, and no more. It is not a search box or a summarizer bolted onto a report screen. It creates and updates records, runs workflows, and completes transactions inside the ERP. Ask it to invoice a customer and it resolves the real customer, the catalog item, the stored price, the workspace currency, tax, and payment terms, then calls the finance engine to validate the request, calculate totals, allocate the invoice number, create the invoice, and commit the journal. It can create and assign tasks, move projects, prepare a payroll run, raise a purchase, or record a stock movement, each through the same server action a person triggers by clicking. When something is missing it asks. When an action needs confirmation, such as sending a document to a customer, it presents that action and waits for you.