Trucks lined up at the loading docks of a distribution center, seen from above

From order to payment, without manual work.

Agents that centralize orders from every channel, forecast inventory by store and automate collections, connected to your ERP and sales platforms.

3 scenarios · Commerce and distribution Scroll

Operations today

Margin leaks between the order, the inventory and the payment.

Every step depends on someone copying data from one system to another. That is where an agent frees up the most hours.

Scattered orders

WhatsApp, email, sales reps and B2B portals, each in its own format.

Gut-feel inventory

Replenishment based on each manager's experience, with stockouts and overstock.

Reactive collections

Manual reminders and overdue accounts reviewed at month-end.

Data that doesn't match

Sales, inventory and receivables in systems that don't talk to each other.

Scenarios

Three processes an agent can run today.

Every scenario starts from a real process and is adapted to your rules and systems in the Binaria Scan.

Scenario 01

Order agentActive

07:41Received 38 orders via WhatsApp, email and B2B portal
07:42Identified customer, products and list prices
07:43Checked available credit and stock by warehouse
07:44Entered the orders in the ERP and confirmed each customer

Commerce and distributionOrder agent

Orders from every channel in a single flow

The problem. A distributor receives orders via WhatsApp, email, sales reps' calls and customer portals. A team retypes them into the ERP, confirms stock by phone and fixes mistakes once the order has already shipped wrong.

1Receives orders from any channel: text, audio, photo or PDF.
2Interprets customer, products, quantities and prices against your catalog.
3Validates credit, inventory and commercial terms.
4Records the order in the ERP and confirms the delivery date to the customer.

Connects withWhatsApp BusinessEmailB2B portalsERP

Expected impact

−80%order entry time

−60%shipping errors

<5 minfrom order to confirmation

Scenario 02

Replenishment agentActive

06:00Forecast 14 weeks of demand by store and product
06:02Flagged 23 products at risk of stockout this week
06:03Calculated quantities from minimums, in-transit stock and season
06:05Sent suggested purchase orders for approval

Commerce and distributionReplenishment agent

Replenishment driven by an inventory forecast

The problem. A chain with dozens of stores replenishes based on each manager's experience. Best-sellers run out while slow movers pile up, tying up working capital.

1Forecasts demand by store and product with a model that learns from sales, seasons and promotions.
2Detects stockout and overstock risks before they happen.
3Calculates quantities from minimums, in-transit inventory and supplier lead times.
4Proposes purchase orders and transfers ready for approval.

Connects withPoint of saleERPInventorySuppliers

Expected impact

−35%stockouts

−20%tied-up working capital

Dailyforecast by store and product

Scenario 03

Collections agentActive

08:00Prioritized 412 overdue invoices by risk and amount
08:02Sent personalized reminders via WhatsApp and email
08:15Logged 3 payment promises and one installment plan
08:16Escalated 5 high-risk accounts to the credit manager

Commerce and distributionCollections agent

Automated collections with a smart engine

The problem. The credit team chases overdue invoices with manual calls and emails. Receivables are reviewed at month-end, when late payments have already hit cash flow.