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AI agents for e-commerce brands

Most support tickets are "where is my order" and most lost sales are unanswered questions. An AI agent answers both instantly from your order data and catalogue, recovers carts on WhatsApp, confirms COD orders before you ship, handles returns by your policy and asks for the review, so your team works on growth, not the queue.

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Straight answer

What does an AI agent do for an online store?

An e-commerce AI agent recommends products and answers sizing, material and delivery questions from your catalogue, recovers abandoned carts and confirms cash-on-delivery orders on WhatsApp, answers "where is my order" from live tracking, processes exchanges and returns within your policy, collects reviews after delivery, and escalates disputes to a person with the full order history.

What this usually looks like today

Support queues that are 70 percent order-status questions
Carts abandoned at checkout with nobody following up
COD returns-to-origin because the order was never confirmed
Product questions on Instagram and WhatsApp answered a day later, after the customer bought elsewhere

The agents we build for e-commerce and d2c brands

5 agents, each with a trigger and a hand-off.

Every agent starts on a defined event, does one job from your own data and systems, and passes the conversation to a person at a defined point. That is what makes it safe to put in front of customers.

Shopping assistant

Recommends products by need, size, budget and occasion from your live catalogue, answers material, fit, care and delivery-time questions, and sends the buy link or a WhatsApp cart.

Starts on: A question on the store, Instagram or WhatsApp
Hands off: Bulk and B2B enquiries go to sales

Cart recovery agent

Messages abandoned carts with a helpful nudge (stock, delivery date, a question to answer), not a discount by default, and completes the order in WhatsApp.

Starts on: Cart abandoned for 45 minutes
Hands off: Payment failures go to your gateway support flow

COD confirmation agent

Confirms address and intent for cash-on-delivery orders before dispatch, offers prepaid conversion with a small incentive, and cancels confirmed fakes to save the shipping cost.

Starts on: A COD order is placed
Hands off: Unreachable customers are flagged for a human call

Order and returns agent

Answers status from live tracking, handles exchange and return requests by your policy, generates the pickup, and issues the refund or store credit the way you have set.

Starts on: Post-purchase question
Hands off: Damaged-item disputes with photos go to a person

Review and repeat agent

Asks for a review a few days after delivery, answers questions about use and care, and sends a relevant repurchase reminder for consumables.

Starts on: Delivered
Hands off: Negative feedback goes to support first

Worked example

A D2C skincare brand on a sale day

An illustrative scenario, not a client result; numbers are typical of the size of business described.

01Instagram traffic triples. The agent answers 400 product questions on the store and WhatsApp in the first six hours, most about skin type and combinations, from the product data.
02312 carts are abandoned; the agent recovers 71 of them by evening with delivery-date answers, no coupons.
03COD orders: 96 confirmed, 9 cancelled as unreachable or fake before packing.
04Next week: 180 "where is my order" questions answered from tracking; the two-person support team handled 11 real complaints.

Connects to

· Store platform (Shopify, WooCommerce, Magento and others with an API)
· Order tracking and shipping partners
· WhatsApp Business API, Instagram DMs and store chat
· Product catalogue with attributes as the knowledge base
· Payment gateway for cart and prepaid conversion links

Numbers we track

· Support tickets deflected (target: 60 to 80 percent)
· Cart recovery rate
· COD return-to-origin rate
· First-response time on sales questions
· Review volume and repeat rate

Rules the agent never breaks

· Returns and refunds follow your published policy exactly; the agent cannot invent exceptions.
· The agent never asks for card or banking details; payments go through your gateway links.
· Marketing messages need opt-in and stop on request, per WhatsApp Business policy.

Pricing

From $1,500 one-time for a knowledge agent, $4,000 for voice and sales agents, $9,000 for multi-agent platforms.

Running costs shown monthly. Every project starts with a written scope and a fixed price.

See the packages

Reviewed byVanshika RajputHead of Digital Marketing · updated 10 September 2026

FAQ

AI agents for e-commerce and d2c brands, answered.

Which platforms does the e-commerce AI agent work with?

Any store with an API or webhooks: Shopify, WooCommerce, Magento, custom builds. Product data, orders and tracking are read live, so answers are current without anyone updating a FAQ.

Will it discount to recover carts?

Only if you tell it to. The default is to answer the question that stopped the purchase (delivery date, size, stock) and remind once; discounts are a tool you switch on for specific segments.

Can it sell on Instagram and WhatsApp, not just the website?

Yes. It answers DMs and WhatsApp with product cards and checkout links, and for WhatsApp commerce it can complete the whole order in the chat.

What does an e-commerce AI agent cost?

A store and WhatsApp support agent on your catalogue and orders starts around $1,500 one-time; sales, cart recovery and COD confirmation with platform integration is typically $4,000; multi-brand or marketplace operations with returns automation are $9,000 and up.

How does it handle angry customers?

It recognises frustration and disputes, apologises once, and passes the conversation with the order history to a person immediately; it does not argue or repeat policy at an upset customer.

Build the e-commerce and d2c brands agent your team needs first.

A 30-minute discovery call, a written scope, and a fixed price. You keep the scope either way.