Retail and ecommerce

AI agents for retail and ecommerce

Answer product and returns questions, and pass order issues to your team, while policies and approvals stay visible.

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Today

Where the time goes now

  • Product questions repeat across channels
  • Returns and order issues need policy control
  • Customer context is hard to reuse

Agent workflow

Where AI assists, and where people stay in control

  1. 01

    Answer product and returns questions from your approved information.

  2. 02

    Summarise the customer's question before a person replies.

  3. 03

    Pass order issues, policy exceptions and unhappy customers to your team.

In practice

Control points

Where a person decides, approves or takes over.

  • Replies stay within your policies
  • Exceptions wait for a person
  • A summary of the conversation before handover

What to measure

Track each one before and after rollout, so the work is judged by what changes.

  • How many questions are answered without your team
  • How many product questions get a correct answer
  • Whether the right cases reach a person

Questions

How teams use this workflow

How can AI agents help retail and ecommerce teams?

They can answer product and returns questions from your approved information, pass order issues to your team, and summarise each conversation before a person replies.

How are returns or policy exceptions controlled?

Policy-sensitive issues go to a person, with a summary of the conversation and the reason visible before a reply is sent.