Home About Case Studies Hire Me Contact
Currently available for select engagements

Hire AI Agent Developer for Retail Shops
Senior, direct, no layers

Hire AI Agent Developer for Retail Shops: agents that answer opening-hours, stock, and reservation questions, and route anything unusual to the shop team.

1:1
Direct Engagement
Senior
No Handoffs
Scoped
Fixed Scope First
Yours
Data & Accounts Stay Yours
Retail Shops — AI Agent Developer

A senior ai agent developer for retail shops

A retail agent answers the questions shoppers ask before they travel to the shop: do you have this size, when are you open, can I return this, is my order ready. Those questions look simple and they are unforgiving, because a wrong stock answer costs a wasted trip and a lost sale in the same visit. The agent job here is checking the shelf record before speaking, every single time.

When a shopper asks about a size, the agent checks the stock record for that store, not the website catalogue, and answers from that record or says the stock needs a person to check the shelf. For a return, it reads the purchase record and the written return rule, drafts the outcome, and holds anything outside the rule for staff. If two threads mention the same supplier order, it matches them before anything is reordered.

This fits a shop with stock records that are kept up to date and return rules that are written down. It does not fit disputes about damaged goods, supplier negotiation, or anything where the answer depends on seeing the item, and those stay with staff in the store. Book a discovery call to test the fit before any scope is agreed.

What you get

What this engagement covers for retail shops

The engagement covers designing, building, and guarding an agent for retail shops that does defined multi-step work with human oversight. A shop's routine of checking stock, preparing a customer reply, and reserving an item spans three systems, which is exactly the kind of multi-step job an agent can do with approvals on the reservation itself.

  • Stock-check agent — Answers size and availability questions from the store stock record, and says the shelf needs a manual check rather than guessing when the record is stale.
  • Opening and order agent — Answers hours, location, and order-readiness questions from approved information, and routes anything about a specific order to staff with the record attached.
  • Returns triage agent — Reads the purchase record and the written return rule, drafts the outcome inside the rule, and escalates anything outside it to staff.
  • Supplier-order agent — Matches supplier threads to existing orders before anything is reordered, drafts reorder lists from low-stock rules, and holds every order for approval.
  • Review and message agent — Acknowledges routine messages, collects the details staff need to answer, and flags complaints or damaged-goods reports for a person immediately.
  • Human handoff and audit trail — Every conversation is logged, every escalation shows its reason, and staff can take over mid-conversation without the shopper repeating the item details.
Working with retail shops

Built for how retail shops actually operate

The systems retail shops actually run shape what is possible, and any engagement starts from them rather than from a blank page. In practice that means the point-of-sale system, stock records, supplier order sheets, and the shop messaging inbox, with the website catalogue treated as marketing, not as stock truth. An agent that answers from the catalogue will promise sizes that are not on the shelf.

Where the point-of-sale system supports a feed, the agent connects to it and the stock record stays the source of truth. Where stock is counted by hand, the honest answer is a defined count-and-update step with a named owner per department, not a promised live shelf that cannot be built. Launch starts with one store or one department, because a stock error multiplies across stores if it is not caught early.

How it works

From kickoff to delivery for retail shops

  1. Pick one agent, one job

    One agent, one job, one success metric, chosen from where shop staff actually spend hours: stock and opening-hours enquiries. Everything else waits until that job earns its keep.

  2. Connect the real tools

    Wire the agent to point-of-sale and stock records, with permissions limited to its job and nothing else. If a connection is not supported, that step gets a named owner instead of a promised integration.

  3. Test on real conversations

    Run past shop enquiry threads through the agent and score accuracy and escalation quality, including a size promised that is not on the shelf, a return accepted against the wrong policy, or a supplier order duplicated because two threads were not matched. Failures get fixed before launch, not discovered by shoppers.

  4. Launch to a slice, then expand

    Go live for one store or one department first, review logs weekly, and expand only when stock answers that match the shelf and enquiries resolved without a second message supports it. Autonomy grows on the logged record, not on optimism.

Outcomes

What success looks like

A working agent shows up as fewer wasted trips, fewer second messages about the same return, and a messaging inbox that clears itself on routine questions. Staff notice it first on Saturdays: the phone stops ringing with stock questions while the shop floor is busy, and the questions left for people are the ones that need a person.

An agent is not a fix for stock counts that are not done. If the record says a size is there and the shelf says otherwise, the agent will repeat the record politely and at scale. The build therefore starts with the count routine and the return rules, and the agent follows them.

Why Omer

Why hire Omer

  • Built for this workflow: Permissions, escalation, and audit trails are set for retail shops from day one, not added after the first incident involving a wrong stock or return answer.
  • Senior-only delivery: One person owns the agent, its prompts, and its integrations for retail shops, so there is no handoff gap when stock and opening-hours enquiries goes wrong.
  • Grounded in your records: Answers come from stock records, point-of-sale data, and written return rules, with a human fallback when confidence drops. The agent says it does not know rather than inventing stock levels, prices, or return eligibility.
  • Measured on stock answers that match the shelf and enquiries resolved without a second message: Cost per conversation and escalation quality are tracked weekly against stock answers that match the shelf and enquiries resolved without a second message, so the engagement is judged on outcomes, not activity.
  • Your agent, your rules: The agent, its instructions, and its logs belong to the business and can be changed or switched off without rebuilding point-of-sale and stock records.
FAQ

Questions, answered

Can the agent promise a size is in stock?
Only if the store stock record says so. If the record is stale or silent, it says the shelf needs a manual check and offers to have staff confirm, rather than promising a wasted trip.
What does it do about returns?
It checks the purchase record and the written return rule, and drafts the outcome inside that rule. Anything outside the rule, or involving damaged goods, goes to staff in the store.
Does it replace the shop phone?
No. It clears the routine questions so staff can deal with the shoppers in front of them. A person is always reachable, and complaints go to a person immediately.
What if stock is counted by hand?
Then the count routine is part of the build. The agent reads the latest count; it does not pretend a hand count is a live feed, and it says when the count is old.
What data does it need?
Stock records, point-of-sale data, return rules, and the messaging inbox it will answer from. If the return rules are unwritten, writing them down is the first job, before any build.
Currently available for select engagements

Ready to get started?

The best way to explore working together is a quick conversation. Reach out through your preferred channel and let us discuss your project.