The ERP that runs itself — from demand to delivery
Four AI agents run your operation as one workflow — forecasting demand, planning materials, buying from vendors and scheduling production. Built for make-to-order manufacturing. You approve the decisions; the agents do the work.
Runs alongside Tally, SAP & Odoo · open-source core · live in about three weeks
Your ERP records the business. It doesn't run it.
The software was built to store what already happened. The deciding, the checking, the keying-in — that's still you.
Built for brand owners, not you
Classical ERP assumes you own your demand and build to stock. ~90% of Indian manufacturing is contract — you build to the order that just landed. The textbook model fits the wrong factory.
Dashboards you have to babysit
Legacy ERP shows you numbers and leaves the work to you. Someone still has to read the report, decide, and key it in — the software watches while you do the job.
800 procurement rows, one pair of eyes
An MRP run throws out hundreds of proposals. At 10–30 a human can eyeball them; at 800, ‘review’ quietly becomes ‘approve everything’ — and the mistakes ship.
Promises the floor can't keep
Delivery dates get quoted off gut feel, then miss — because nothing checked the machine calendar or whether the raw material could even arrive in time.
One thread, from demand to delivery
It starts with an honest forecast.
| Item | Forecast | Conf | Pattern |
|---|---|---|---|
| Amoxicillin 500mg | 8,400 No | 88% | Seasonal |
| Paracetamol 650mg | 12,600 No | 85% | Trending |
| Vitamin D3 Sachet | 9,300 No | 83% | Trending |
| Surgical Gloves (M) | 3,200 No | 71% | Steady |
| Insulin Glargine Pen | 1,150 No | 64% | Lumpy |
Demand becomes exact material needs.
These 10 items lack the order history for a reliable forecast — verify 200ml Brute Amber (5,700) and Mackoff Labels (4,300) against actual consumption before committing.
| Item | Qty | Conf | Pattern |
|---|---|---|---|
| 200ml Brute Amber - 18 gm | 5,700 No | — | — |
| Mackoff 100ml - Arkedia Labels | 4,300 No | — | — |
| Packaging Polybag | 4,000 No | — | — |
| Pet Bottle - 100ml Brute Round | 2,500 No | — | — |
Approved needs become vendor POs.
Two lines dominate — MacAlive Ds Labels (15,900) and Cartons (14,745). The two Polybag entries are flagged as a possible split-entry to confirm.
| Item | Qty | Value |
|---|---|---|
| MacAlive Ds 200ml - Labels (Arkedia) | 15,900 No | ₹3,975 |
| MacAlive Ds - 200ml - Cartons (Box) | 14,745 No | ₹39,812 |
| Packaging Polybag | 7,500 No | ₹11,250 |
| Packaging Polybag | 400 No | ₹600 |
And a date you can actually promise.
| WO | Item | Machine | Delivery |
|---|---|---|---|
| WO-4471 | Amber Syrup 200ml | Line 2 | 14 Aug |
| WO-4472 | Mackoff Blister 10s | Blister 1 | 15 Aug |
| WO-4473 | Cotton Yarn — 20s | Spindle 3 | 16 Aug |
| WO-4474 | Vitamin D3 Sachet | Sachet 2 | 18 Aug* |
Three decisions most ERPs get wrong
The right model per demand type — not per system
Finished goods are order-induced and stay pegged to the order that caused them, so the shop floor never loses the thread. Semi-finished goods and raw materials pool and net across every order. One platform, two strategies — instead of bending a make-to-stock ERP until it breaks.
Stage the common parts, promise a shorter date
Because components are forecast and pooled, the agents stage your common semi-finished bases ahead of demand. When an order lands, only the last-mile step remains — so you quote a delivery your competitors can't, honestly.
A deterministic engine, with advisory agents
The netting math is never AI — every number decomposes into its demand and supply parts, and reconciles to what you see. The agents wrap around it to forecast, triage and explain. Nothing fires silently: the system proposes, you approve, and every verdict is auditable.
The work the software finally carries
Illustrative of how the system is designed to behave — actual figures depend on your catalogue, data quality and starting point.
Agents you can trust, because you're always in the loop
Every number is explainable
If you can't see why a figure makes sense, the feature isn't done. Firm orders, forecast, BOM, safety — netted against stock, POs and WIP, shown in full.
Propose, then approve
The system never silently fires a work order or a PO. It drafts; you (or a permitted agent) commit. Approval is where the money and the holds are written.
Open-source core, live in ~3 weeks
Self-host the community edition or run it on our cloud. It sits alongside Tally, SAP or Odoo — you don't rip anything out to get started.
Agentic ERP, answered
Explore the rest of the platform
See your operation run itself
A 30-minute walkthrough on your own catalogue — forecast to promised delivery date, live.
