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honestAI

Retail · AI agent workflow

AI agents for retail customer service requests.

HonestAI connects AI assistants to your Commerce platform and OMS so an agent can open, update and resolve service requests — with your rules enforced and your people deciding exceptions.

The problem

Routine requests arrive by email, chat and phone, get re-keyed into a system and wait in a queue for someone to do a two-minute task.

Example in retail (illustrative)

A shopper asks to change the delivery address on an order that hasn't shipped; the agent checks the OMS and updates it.

What the agent does

  1. 01Identify the customer and the request type
  2. 02Look up the account or order in the system of record
  3. 03Complete the allowed action or open a case with the details filled in
  4. 04Confirm back to the customer with a reference

Controls

AI executes. Your people decide.

Return, refund and discount policies enforced as rules; payments confirmed by the customer.

Checks before every action

  • Verified identity before any account data is shown
  • Action limited to what that customer may do
  • Anything outside policy routed to a person

What people own

Staff handle complaints, exceptions and anything outside the documented policy.

Systems we connect

Commerce platform · OMS · WMS · Helpdesk

What we measure

  • Requests completed without hand-off
  • Time to resolution
  • Escalation rate
Talk to an AI Expert

Questions

Customer Service Requests in retail: quick answers

Can an AI agent handle customer service requests in retail?
Yes, for the routine, rule-based part. The agent works through governed connectors to systems such as Commerce platform and OMS. Staff handle complaints, exceptions and anything outside the documented policy.
How is it controlled?
Return, refund and discount policies enforced as rules; payments confirmed by the customer. Every action is logged with an audit trail, and writes are idempotent so a repeated request never duplicates.
How fast can we start?
Most teams start with a 5-day integration sprint on one workflow, one system and one AI assistant or channel.

See the AI Agent Integration service or the Retail industry page. Prefer email? Write to us.

What work should AI take off your team?