Purchasing that stays ahead of demand.
The agent analyzes your real sales, forecasts demand, builds the orders by supplier and confirms every delivery.
From demand analysis to delivery confirmation, in one system.
Insumos Norte S.A.
- Product A · 240 kg
- Product B · 180 kg
- Product C · 120 kg
Requested delivery: 15/08/2026
Fictional demo data.
Reactive purchasing, with no data and no control.
Orders with no basis in real sales
Each department buys out of habit. There is no trend analysis and no forecast by product, season or region. Overstock and stockouts are the norm.
Forecasts next period's demand from the sales history in your system.
Orders built by hand, supplier by supplier
Someone consolidates the requisitions, groups them and builds each order. A repetitive process that eats hours and produces typing errors and omissions.
Generates the orders grouped by supplier, ready to review and send.
No traceability on receiving
When the delivery date arrives, nobody knows what came in and what did not. Follow-up happens over the phone and informally, and shortages are never documented.
Asks over WhatsApp on the delivery date and records the confirmation or the shortage.
The buyer works without data
The value of the area lies in negotiating better terms and anticipating demand. The time goes into spreadsheets, emails and follow-up calls.
Frees up the buyer's time and gives them a delivery record by supplier to negotiate with.
The full purchasing cycle runs on the management system you already use.
Four integrated modules for the area.
They are implemented together or one at a time, depending on where the pain is today.
Suggested quantities from data, not from intuition.
The agent analyzes the sales history in your system to identify patterns and forecast by product, season and region.
- Sales trends — by product, format and period of the year.
- Seasonal variation — high seasons, public holidays and promotions.
- Comparison across branches — by region and by size of the sales point.
- Turnover outside the normal range — alerts on products with unusually high or low turnover.
- Next period forecast — estimated quantities for the next replenishment.
The purchasing manager comes to the table with quantities suggested from real data in the system, not from estimates.
| Item | Sold last period | Forecast | Suggested purchase |
|---|---|---|---|
| Product A | 1,240 kg | 1,410 kg | 240 kg |
| Product B | 980 kg | 1,055 kg | 180 kg |
| 200 cc container | 4,300 units | 5,100 units | 5,000 units |
| Accessory A | 1,750 units | 1,900 units | 2,000 units |
Fictional demo data.
The purchase suggestions are updated with every new sales period, without anyone having to redo the calculation.
The order arrives already built. You approve it.
With the forecast validated, the agent generates the orders grouped by supplier and leaves them in the panel for review.
What it generates automatically
- One order per supplier — with all the products, quantities and units that apply.
- Consolidated requisitions — several departments grouped into a single order.
- Negotiated terms applied — volume discounts and minimum order sizes.
- A format each supplier can take — PDF, Excel or direct email.
What the approval panel does
- One unified view — every active order by supplier and by status.
- Comparison against the previous period — quantities suggested by the AI against what was bought before.
- Manual adjustment with the reason on record — the quantity can be changed before approving and the reason is kept.
- Sending from the panel — the order goes out to the supplier by email or PDF, with an estimated delivery date.
Insumos Norte S.A.
- Product A · 240 kg
- Product B · 180 kg
- Product C · 120 kg
Requested delivery: 15/08/2026
Envases del Sur S.A.
- 200 cc container · 5,000 units
- Standard container · 3,500 units
- Accessory A · 2,000 units
Fictional demo data.
Instead of building each order from scratch, the buyer reviews the ones the agent generated, adjusts what needs adjusting and approves. Building goes from hours to minutes.
From past sales to the delivery date.
Six steps. The agent runs three of them, your team decides on the rest.
- 01
Sales history
Data from the system
- 02
AI forecast
Run by the agent
- 03
Orders generated
Run by the agent
- 04
Buyer review
Decided by a person
- 05
Sent to the supplier
Run by the agent
- 06
Delivery date recorded
Kept in the system
One single place to manage all the purchasing in the operation.
The order confirms itself, over WhatsApp.
When the estimated delivery date arrives, the department receives a message, replies in plain language and the agent records the delivery.
PO #314 marked as Received
Partial delivery · 2 items missing · alert sent to Purchasing
Fictional demo data.
Today's deliveries
- Which departments confirmed a complete delivery
- Which departments have products outstanding, which ones and from which supplier
- Which orders need action: a claim, a reshipment or an adjustment
- The on-time delivery rate of each supplier over time
No manual follow-up
Nobody has to remember which order is due today or call each department. The agent does the follow-up and escalates to the buyer only when there is a real problem.
You negotiate with the record in hand.
The system builds up the history of every order: what arrived, what was missing and how long it took.
Delivery performance by supplier · last 6 months
| Supplier | Orders | Complete deliveries | Average delay |
|---|---|---|---|
| Insumos Norte S.A. | 34 | 31 | 0.4 days |
| Envases del Sur S.A. | 28 | 24 | 1.2 days |
| Distribuidora Centro | 19 | 14 | 2.6 days |
| Logística del Litoral | 12 | 8 | 3.1 days |
Fictional demo data.
What closes the loop.
Tell us how you buy today.
In 30 minutes we go over your purchasing process, your suppliers and your management system, and define which modules start first.
Argentine company, local team, support in Spanish.