NegoFlow natively integrates AI Agents into your daily work

Your ERP knows everything. Flo saves you from having to dig for it.

• She is your go-to agent

  Flo has visibility across all your activity. Depending on your request, she answers directly or hands over to the specialized agent (Franck, Margot, Sacha, Mickael or Agathe) and brings the result back to you.

• She answers, in natural language

  “How much does Primeurs Deschamps owe me?” “What's the margin on this order?” The figures are read straight from your data, the source is one click away.

• She shows you how to do it

  “How do I create a self-billing invoice for one of my suppliers?” You get the exact steps, one by one, without leaving your screen or opening a support ticket.

A photo. A reference object. An analysis no one can dispute.

• She measures the whole sample

  Every tuber outlined, calibrated against a reference object of known size: the batch's real grading, not the average of ten hand-picked potatoes.

• She holds up in the field, and her scope keeps widening

  A model trained in-house on tens of thousands of potatoes: roller table, open field, crate, whatever the light. This is the use case she covers today; her purpose is vision at large, and she takes on one more each time a new set of field data is gathered.

• She leaves a record

  Summary, size distribution, annotated photo: a timestamped PDF report, tied to the grower, the batch and the plot.

Three ways of writing the same line. One record in your database.

• He keeps your master data up to date

  Customers, growers, products, contracts: he reads the records, updates them, merges duplicates and fills in what is missing before the gap shows up on an invoice.

• He speaks your suppliers' language

  Three ways of writing the same line, one record in your database. What comes in from the field maps itself onto your own naming.

• He watches the certifications

  Your growers' GGN numbers are tracked one by one. An expiry date coming up is seen before the order, not at loading time.

Money coming in is tracked by due date, not at month end.

• She tracks the money, due date by due date

  Payments received, partial, outstanding: who owes what and by when, read straight from your data, with no spreadsheet on the side.

• She spots the delay and drafts the reminder

  The delay is detected on its own; the email is written with the right amount, the right attachment, at the right moment. You review, you adjust, you send. A payment reminder is still a relationship.

• She produces the accounting export in one click

  An accounting export generated on demand, and past exports available for review: handing over to your accountant stops being a month-end project.

From the email that starts the order to the invoice that closes it.

• He handles the order end to end

  Creation, changes, customer confirmation, collection and transport details, invoice generation: the full order cycle, without switching screens or entering the same line twice.

• He reads what comes into the inbox

  An order email, an attached PDF, a photographed delivery note: he extracts the customer, the product, the tonnage, the price and the collection date, and presents the order as a draft. The email thread stays attached to the file.

• He has the file to hand

  Notes, confirmations, transport documents, attachments: he reads the order's document base and pulls up the right one the moment the question comes.

What is in stock, and what leaves tomorrow.

• He keeps track of the stock you control

  What is at the packing station, in cold storage, in contract storage: quantities, movements, and what is genuinely still available to sell.

• He prepares the shipment

  Collections, trucks, pallets, time slots: the loading plan is built from real orders, with the transport documents that go with them.

• He flags the slippage

  A collection running late, a quantity that does not follow, a truck without a slot: the alert comes while the day can still be reorganized.