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Industry · Retail & eCommerce

Makez.ai Team·Sep 1, 2026·8 min read

AI for eCommerce Operations: Automate Products, Orders, Quotes, Tracking & Reconciliation

Not "sales are down" on a dashboard, the actual reason, and the fix. Here's how AI agents handle the repetitive back-office work behind every storefront: listings, orders, quotes, tracking and the reconciliation nobody enjoys doing by hand.

Illustration of a delivery parcel moving along a route between a warehouse icon and a customer's door, with an alert badge showing a shipping delay caught early Warehouse ! delay caught early Customer

A shipment delay flagged and rerouted before the customer ever has to ask where their order is.

SKUs kept accurate
12,400+
Automatically, live
Order tracking
Real-time
Across every channel
Runs finished unattended
99.1%
Across live workflows
Avg. resolution time
1m 23s
Exception-to-fix

The real problem: nobody explains the "why"

Most eCommerce dashboards are good at telling you that something happened - a SKU underperformed, an order stalled, a cart got abandoned. They're much worse at telling you why, and worse still at doing anything about it. AI agents change that by connecting the signal to the cause automatically: a SKU is underperforming because it's out of stock at your busiest fulfillment location and the replenishment PO is delayed, and the agent can recommend, or execute, the reallocation via API call to your WMS.

Where teams see the fastest win: order tracking and catalog automation, because both are high-frequency, easy to measure, and directly visible to the customer - a delay caught early is a support ticket that never gets opened.

Five workflows already running as agents

CATALOG
Listing automation

Supplier sheets become publish-ready listings.

→
ORDERS
Order-to-cash

Every order tracked from placement to collection.

→
TRACKING
Shipment alerts

Delays caught before the customer has to ask.

→
RETURNS
Returns processing

Inspected, refunded and restocked automatically.

Quotes and B2B: the workflow retail-first tools miss

Most eCommerce automation tools are built retail-first - cart, checkout, shipping. B2B and wholesale eCommerce has a heavier, less-automated step in the middle: quoting. An agent that can pull current pricing, live stock levels and a specific customer's negotiated terms into an accurate quote removes one of the slowest manual steps in B2B sales, and it's a workflow most off-the-shelf eCommerce platforms don't touch at all.

Abstract dashboard mockup showing a live order map with moving dots, a catalog health score, and a returns queue, representing unified eCommerce operations visibility Live orders Catalog health 98.4% Returns queue 3 pending

Orders, catalog health and returns in one view, updated by the agents doing the work, not a nightly batch export.

Adoption is real. Scale is still rare.

It's worth separating "we use AI somewhere in the business" from "we've scaled AI into how we actually run this function" - eCommerce teams sit on both sides of that line right now, often at the same company.

33%
McKinsey

88% of organizations now use AI regularly, but only about a third have scaled it past pilots

The adoption number looks close to universal. The scaling number is the one that actually predicts whether a program survives its second year.

View the source →

Order tracking and catalog automation tend to be where retailers cross from the first category into the second, since both are measurable within weeks.

Where this connects to the rest of the business

eCommerce operations don't run in isolation - an order that's tracked well still needs to be invoiced and reconciled correctly on the finance side. If you're automating the storefront, it's worth automating the back office at the same time; see how that half of the flow works in AI accounts payable automation and PO to payment.

See your catalog or order flow automated live

Bring a supplier sheet or a stuck order, and we'll show you exactly how the agent handles it end to end.

View Retail & eCommerce solutions

Frequently asked questions

Can AI agents publish product listings automatically?

Yes - a Catalog Agent reads supplier spec sheets or spreadsheets and generates structured, publish-ready product listings, keeping titles, attributes and pricing consistent across hundreds or thousands of SKUs.

Does this work with Shopify and marketplace channels, not just our own site?

AI eCommerce automation typically connects to Shopify, major marketplaces and your ERP simultaneously via their respective APIs, so order and inventory data stays consistent across every channel rather than needing separate manual updates.

How does AI reduce stockouts and overselling?

By watching demand signals and inventory levels continuously across channels and flagging or reallocating stock before a popular SKU goes negative, rather than reacting after a customer complaint.

Can it handle B2B quoting, not just retail checkout?

Yes - for B2B and wholesale eCommerce, an agent can generate accurate quotes from current pricing, stock and customer-specific terms, which is typically a heavier manual task than standard retail checkout.

What's the typical first workflow for eCommerce teams?

Order tracking and catalog automation are the most common starting points, since they're high-volume, repetitive, and directly tied to customer experience, making the impact easy to measure quickly.

AI eCommerce automationproduct catalog automation order tracking