← Use cases
E-commerce and retail

Real prices, stock and order statuses, and never an invented promotion.

The business challenge

“Where is my order?”

The most frequent question, where an approximate answer creates a second contact.

Poorly framed cancellations and returns

A cancellation started by mistake or a return without reason complicates logistics.

Dangerous commercial promises

An agent granting a discount on its own initiative exposes margin.

What the agent does

  • Order, parcel and refund tracking.
  • Catalogue search with real prices and stock.
  • Cancellation and return after explicit confirmation.

Connected systems : Catalogue, orders, shipping and payment (including mobile money) through connectors.

Verified commitments

Each commitment matches a scenario in the agent template's test suite. 12 test scenarios.

  • Exact order status, tracking number and amounts.
  • An unknown order is never “invented”.
  • Cancellation: only after explicit confirmation.
  • Return: the reason is asked, then the return confirmed.
  • No discount or promotion the catalogue does not provide.

From technical rigour to business outcome

What we guarantee

Prices and stock come from the catalogue in real time.

What it changes for you

Fewer disputes over an announced price, and a deliverable promise.

What we guarantee

Irreversible actions require confirmation.

What it changes for you

Fewer mistaken cancellations, hence fewer refunds and rework.

Measured results

The sector's demo agent. Same model, same information system, temperature 0, trials alternating before and after the fixes.

Reference scenarios

12 scenarios, the ones the agent was tuned on.

Pass rate

Original state · 2 trials87.5 %
After optimisation · 2 trials91.7 %

Security

Original state50 %
After optimisation100 %

What these figures say, and do not say

  • Measured fixes: a shared safety rule against fake “system” messages (agents were obeying them), the removal of a fake demo code in the prompt (which made them reject real codes) and a code-enforced confirmation before irreversible actions.
  • These results are on the scenarios used to tune the agent. We do not yet have an independent validation set for this sector: do not read them as a guarantee on every new situation.

Business study: size it with your assumptions

An estimate, not a promise: starting values are examples. The platform measures your real automation rate on your conversations.

Excludes platform and setup costs. Contacts handed over to a human remain at your cost.

Contacts handled by the agent
12,000
Gross saving per month
10,800,000 FCFA
Gross saving per year
129,600,000 FCFA

Let's see what it does on your business

Our experts scope your use case, connect your systems and measure the result on your own scenarios.