AI agents for ecommerce brands: 6 workflows, explained
From finding the ₹2.3 lakh Amazon owes you in lost-inventory reimbursements to confirming a risky cash-on-delivery order before it ships: what an AI agent can do for a Shopify and marketplace brand.
An ecommerce brand runs on a dozen dashboards that don't talk to each other: Shopify, Amazon Seller Central, Flipkart, the courier, the payment gateway, the ad accounts, the warehouse sheet. The money leaks in the gaps between them. An AI agent works across all of them at once, the way your best operations person would if they never got tired.
Here are the workflows, told through a D2C home-and-kitchen brand selling on its own Shopify store, Amazon and Flipkart.
What makes it an agent, not a chatbot
A support chatbot answers from a FAQ. An agent looks up the actual order, the courier scan and your return policy, and can act on them with your approval. Three things set it apart:
1Support tickets answered with the order, the courier scan and the policy in front of it
'Where is my order?' is half our tickets. Answering properly means opening Shopify, the courier site and our policy for every single one.
Tickets arrive from email, Instagram DMs, WhatsApp and marketplace messages. Riya's agent:
- Finds the order across Shopify and the marketplaces, and reads the latest courier scan.
- Works out what's actually happening: stuck at a hub for four days, delivered to a neighbour, returned to origin.
- Applies the policy: replacement, refund or re-ship, within the limits Riya has set.
- Drafts the reply in the customer's tone and language, and queues any refund or replacement for approval.
| Customer | Issue | What the agent found | Drafted |
|---|---|---|---|
| Pooja S. · WhatsApp | Where is my order? | Stuck at Bhiwandi hub 4 days | Apology + courier escalation; re-ship if not moved by Fri |
| @ankitbakes · Instagram | Lid cracked on arrival | Photo shows transit damage; 2nd time this SKU this week | Replacement queued for approval |
| Amazon buyer | Wrong colour received | Warehouse picked SKU-118 instead of 119 | Replacement + note to warehouse |
2Amazon and Flipkart settlements reconciled, and the money you're owed claimed
Every settlement is thousands of lines of orders, fees, returns, ads and adjustments. We knew we were being overcharged somewhere; finding it by hand was impossible.
Kunal's agent reconciles every marketplace settlement against orders, returns and the fee rate card, and goes looking for the money that quietly goes missing.
| Finding | Cases | Amount | Next step |
|---|---|---|---|
| Inventory lost or damaged in the fulfilment centre, not reimbursed | 41 units | ₹96,400 | Reimbursement cases drafted |
| Customer refunded, item never returned | 28 orders | ₹71,800 | Claims drafted with order IDs |
| Weight-based fee charged on the wrong size tier | SKU-204, 312 orders | ₹46,200 | Dimension re-measure requested |
| Referral fee charged on a refunded order | 19 orders | ₹16,600 | Included in the claim |
3Stock reordered by real sales velocity across every channel
We ran out of our bestseller during the Diwali sale and had 4,000 units of a slow mover sitting in Amazon's warehouse paying storage fees.
The agent combines sales velocity across all channels, stock in your warehouse and in each marketplace's fulfilment centres, inbound shipments and supplier lead times, then drafts purchase orders and stock transfers for approval.
| SKU | Stock (days of cover) | Lead time | Suggestion |
|---|---|---|---|
| Glass container set | 11 days | 21 days | PO for 2,400 units now (sale in 5 weeks) |
| Steel tiffin, 3-tier | 38 days | 14 days | Transfer 300 units to Flipkart FC |
| Silicone lid set | 190 days | 30 days | No reorder; run a bundle offer |
4Profit by SKU after ads, returns and fees, not just ROAS
Meta says our ROAS is 3.4. But after returns, marketplace fees and shipping, some of our 'winning' products lose money on every order.
Aman's agent joins ad spend by product from Meta and Google, revenue and returns from Shopify and the marketplaces, landed cost and shipping, and works out contribution margin per SKU. Then it suggests where to move budget, and drafts better titles and bullet points for listings that convert poorly.
| SKU | ROAS | Return rate | Margin after ads |
|---|---|---|---|
| Glass container set | 3.8 | 4% | ₹212 / order ✓ |
| Ceramic dinner set | 3.4 | 19% (breakage) | −₹96 / order |
| Steel tiffin | 2.6 | 3% | ₹141 / order ✓ |
5Risky cash-on-delivery orders confirmed before they ship
One in five COD orders came back unopened. We paid shipping both ways and the stock was stuck for three weeks.
Before dispatch, the agent scores every COD order using the pin code's return rate, the customer's history, order value and signals like a mismatched phone number. Risky ones get a WhatsApp confirmation, with an offer to switch to prepaid.
| Signal | Orders | Action |
|---|---|---|
| High-RTO pin code (>35%) | 11 | Confirm on WhatsApp, offer 5% off prepaid |
| Refused delivery before | 4 | Prepaid only |
| 3+ identical orders, same address | 2 | Hold for Kunal |
6Reviews and return reasons turned into product fixes
We had 2,000 reviews and return comments. I knew there was something in there about our sizing; I never had a day to read them.
Every week the agent reads new reviews across Amazon, Flipkart and the store, plus return reasons and support tickets, and groups them into issues with counts and examples. It drafts replies to negative reviews for approval.
| Theme | Mentions | Example |
|---|---|---|
| Lid doesn't seal after washing | 86 | "Leaks after the dishwasher" |
| Smaller than photos suggest | 54 | "Thought it was 1 litre" |
| Love the colour options | 212 | "Bought the sage one twice" |
Where people stay in charge
The agent handles volume; people handle money and judgement. Riya approves replacements, Kunal approves claims and purchase orders, Ira decides what to change in the product.
- No refund, purchase order, price change or marketplace claim is made without approval.
- Every action leaves a trail: which order, which policy, who approved.
- Your customer data stays yours, separate from every other brand.
How to start
- Start with support or marketplace reconciliation: the first saves hours, the second finds cash.
- Connect Shopify, Seller Central, Flipkart, the courier, the ad accounts and the inbox.
- Run it in draft mode for two weeks: every reply and claim approved.
- Let it handle the routine within your limits, then add inventory and COD checks.
Frequently asked questions
Can an AI agent handle ecommerce customer support?
Yes. It finds the order across Shopify and marketplaces, reads the courier status and your policy, drafts the reply and queues refunds or replacements for approval. You decide what it may handle on its own.
Can it reconcile Amazon settlements and find reimbursements?
Yes. It reconciles each settlement against orders, returns and the fee schedule, and drafts reimbursement claims for lost inventory, unreturned refunds and incorrect fees.
Does it work with Shopify, Amazon and Flipkart together?
Yes. That's where it helps most: it works across all your channels at once, so stock, profit and support use the same picture.
Can it reduce COD returns?
It scores cash-on-delivery orders for return risk and confirms the risky ones on WhatsApp before dispatch, offering a switch to prepaid.
Will it change prices or run ads on its own?
No. It suggests budget moves, prices and purchase orders; a person approves every change.
In a 30-minute call we'll reconcile one of your marketplace settlements with an agent.
The people, companies and numbers in this article are illustrative.