An online or retail store drowns in the same handful of repetitive moments: 'where is my order,' the bestseller that quietly sells out, the cart abandoned at checkout, the return request, the pre-sale question that decides a sale. A custom AI agent is an AI you brief for your store and point at those moments -- one that actually looks up the order, flags the low stock, and drafts the win-back, rather than a chatbot that just answers FAQs. This guide covers the agents worth building, the Deelo apps each uses, and the guardrail that keeps them honest.
One rule holds across all of them: any message that reaches a shopper -- an order update, a cart reminder, a return confirmation -- is drafted by the agent and sent only after a human approves it, and anything touching money, like a refund, waits for a person. External sends and money moves never fire on their own.
The store agents worth building
- The order-status agent. Handles the single most common message a store gets -- 'where is my order?' -- by reading the order and its tracking in POS and answering instantly, on your website chat or by text. Read-only, so there is nothing it can break, which makes it the safest agent to launch first and the one that clears the most support volume.
- The inventory reorder agent. Watches stock levels in Inventory and, when a bestseller crosses its reorder point, alerts you and drafts the reorder or the supplier email. It flags dead stock and fast movers before you notice by hand. Placing the order or sending the supplier message waits for your approval -- it does the watching and the math, you make the buy.
- The abandoned-cart & win-back agent. Notices carts abandoned at checkout and customers who have not bought in a while, and drafts a tailored nudge through Marketing -- a reminder, a bundle suggestion, a gentle 'still thinking about it?' You approve each send. Recovered carts and reactivated buyers are the highest-ROI messages a store sends, and this agent makes sure they actually go out.
- The returns & exchange intake agent. Takes the return request, gathers the order number and reason, checks eligibility against your policy, and drafts the next step. It cannot issue the refund itself -- money movement stays human-approved -- but it does all the intake and paperwork so a person just confirms the dollars. Returns handled fast, without the AI touching your money.
- The pre-sale product agent. Answers the sizing, compatibility, and shipping questions that decide whether a shopper buys, using your product data in POS and Inventory. On a public web link it defaults to read-only, so a stranger can ask anything and change nothing. The question that used to go unanswered until morning gets answered at the moment of intent.
Start read-only, then earn write access
A shopper lands on your site at 10 p.m. with a cart half-built and one question -- will this fit a queen or only a full? Nobody is at the keyboard, so historically that sale waited until morning, by which point they bought elsewhere. A read-only pre-sale agent answers from your product data in the moment, and the cart closes that night instead of never.
The safest way into store automation is an agent that can only read. The order-status and pre-sale agents look up data and answer -- they cannot change an order, edit a price, or move money -- so you get real support relief with zero downside while your team learns to trust the agent's judgment. From there you widen the grant deliberately: the inventory agent gets to draft reorders, the marketing agent gets to draft sends, and every one of those actions stops for your approval. A public web agent stays read-only by default, and your team opts it up only where it makes sense.
That is the whole trust model in miniature -- read freely, act with approval, and keep money and external sends on a hard floor. The mechanics behind it get a full treatment in safe agent permissions and guardrails.
On autopilot vs waiting for you
| Action | Agent alone | Needs approval |
|---|---|---|
| Answer 'where is my order?' from live data | ✓ | ✗ |
| Flag a bestseller crossing its reorder point | ✓ | ✗ |
| Send an abandoned-cart or win-back message | ✗ | External send |
| Place a reorder or email a supplier | ✗ | Needs your yes |
| Issue a refund on a return | ✗ | Money floor |
How to build the first one
In the AI Assistant, create the order-status agent, brief it on your fulfillment flow, scope it read-only to POS, and put it on your website chat. Zero risk, immediate support relief. Then build the inventory agent, scoped to Inventory with reorders held for approval. Deelo ships vertical pages at /for/retail and /for/ecommerce for the deeper tour. The builder walkthrough is in how to build a custom AI agent.
Clear the repetitive tickets first
Build an order-status, inventory, or win-back agent in the Deelo AI Assistant, scoped to POS and Inventory, with every shopper-facing send and every refund held for your approval. Answer the questions that drive sales at the moment of intent. Start free, no credit card required.
Start Free — No Credit CardFrequently Asked Questions
- What can AI agents do for an ecommerce store?
- They handle the high-volume, repetitive work: answering 'where is my order' from live tracking data, watching inventory and flagging reorders, drafting abandoned-cart and win-back messages, taking return requests, and answering pre-sale product questions at the moment a shopper is deciding. Each agent acts inside your real POS and Inventory apps, not just a chat script, and shopper-facing sends and refunds always wait for a human to approve them.
- Can an AI agent answer 'where is my order?'
- Yes, and it is the best first agent to build. A read-only order-status agent looks up the order and its tracking in your store data and answers instantly on your website chat or by text. Because it only reads, there is nothing it can change or break, so you get immediate relief on your most common support question with zero risk. It clears the tickets that otherwise pile up in your inbox.
- Can AI agents recover abandoned carts?
- They can draft and sequence the recovery messages, which is most of the work. The agent notices carts abandoned at checkout and buyers who have gone quiet, then drafts a tailored nudge -- a reminder or a bundle suggestion -- through your marketing app. Each message waits for your approval before it sends, because it goes to a customer. You get the recovered revenue without an AI firing promotional messages to shoppers unsupervised.
- Can an AI agent process a refund?
- No -- and that boundary is intentional. Issuing a refund is money movement, which sits on a hard high-risk floor that requires human approval under every autonomy level. A returns agent does all the intake -- gathers the order number and reason, checks eligibility against your policy, and drafts the next step -- so a person only has to confirm the dollars. You get fast, organized returns without the AI ever touching your money on its own.
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