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Retail

Tracking, exchanges and returns resolved in the conversation

For store chains and e-commerce. The customer asks about the order, the agent checks the operation and resolves it without opening a ticket.

The problem

After-sales consumes customer service

  1. 01

    Where is my order

    The most common question arrives every day, and the answer is already in the system.

  2. 02

    Exchanges and returns with friction

    Each request takes several contacts before it becomes a pickup or a credit.

  3. 03

    Campaign peaks

    Promotional dates multiply the volume without increasing the team.

In practice

From the photo of the defect to an approved exchange

The customer sends a photo of the product. The agent checks the order and opens the exchange.

What the agent executes

After-sales operations in the operation's systems

  • WhatsAppWebsiteApp

    Order tracking

    Status and delivery estimate in real time.

    Delivery estimate in the conversation.

  • WhatsAppWebsite

    Exchanges and returns

    Opens the request, schedules the pickup and issues the credit, according to the store policy.

    Shipping label or credit released.

  • WhatsAppWebsiteApp

    Invoice copy

    Sends the document in the conversation itself.

    Invoice as PDF in the conversation.

  • WhatsAppWebsite

    Hand off to the team

    Cases outside the policy go to a person, with the summary.

    A person takes over with the summary, same channel.

A different request? Bring it to the demo: we show the agent executing your flow. Read the use case articles

Getting started

From the most repeated request to the pilot, in the first week.

The product or customer service team puts the agent live, in the dashboard. IT steps in once, to point to the API documentation.

  1. Day 1

    Connect the channel

    WhatsApp number, code snippet on the website or app key. No project.

  2. Day 2

    Declare the use case

    What the agent collects, what it validates and which operation it calls. In business language, no code.

  3. Day 2

    Simulate before publishing

    Talk to the agent in the simulator and see every operation it called.

  4. Days 3 to 4

    Connect your systems

    Import your API documentation; the agent starts executing its operations.

  5. Week 1

    Pilot with a controlled group

    Only the customers you release talk to the agent. Then expand in stages.

How it works

Industry questions

Retail and integration

Does it integrate with the e-commerce platform we use?

The agent calls the operations in your systems' API. The demo shows the flow with your use case.

Who sets the exchange policy?

Your company. The rules stay in your systems, not in the AI.

Does it handle high-volume campaigns?

Yes. The same agent handles many conversations at once.

Next step

See an exchange resolved with your policy

Schedule a demo with your retail use case.

  1. 01Chat with the assistant: it asks for your details and what you are looking for
  2. 02The sales team receives your contact right away
  3. 03Demo with your use case
  4. 04Proposal and start of the pilot with a controlled group of customers

Schedule a demo

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