AI for ecommerce

Fewer order status tickets, earlier stock warnings and a sales report waiting each morning

Tenaxity builds AI for ecommerce teams that are busy running the store rather than the admin around it: order and returns support, inventory alerts, review replies and daily reporting across Shopify, WooCommerce and the tools you already use.

Order supportReturnsStock alertsReview repliesDaily sales digest
Animated illustration: an online store dashboard where orders stream in, stock for a best seller drops and triggers an automatic reorder to the supplier, and an AI agent answers a where-is-my-parcel question and sends a review requestLive orders#10421 Linen shirt£48#10422 Tote bag x2£36#10423 Desk lamp£89#10424 Gift card£25#10425 Mug set£22 Stock: Linen shirt (M) Reorder sent to supplierPO-7781 · 60 units Order questions Where is my parcel? Out for delivery today,tracking link sent Review request★★★★★ Today142 orders38 answered0 stock-outs
Built around your storeOrder data, support rules, approval points and reporting agreed before launch.

Customer support: order status and returns

In many online stores, a large share of tickets ask the same thing: where is my order? These questions have answers sitting in your order and tracking data. AI can look them up and reply, leaving your team the conversations that need judgement. It builds on our wider AI customer support automation.

Order status (WISMO) tickets

The workflow matches the customer to their order, checks fulfilment and carrier tracking, and replies with a clear update. Delays and lost parcels go to a person.

Returns and exchanges

Checks the order against your returns policy, explains the next step, creates the return or a draft for approval, and tags anything outside policy for review.

Ticket triage and drafts

In Gorgias, Zendesk or Shopify Inbox, new tickets are tagged by topic and urgency, and the AI drafts replies from your policies for an agent to check and send.

Operations: stock, suppliers and order exceptions

Ecommerce automation is not only about support. Most of the time lost in operations goes on checking things: stock levels, stuck orders and supplier spreadsheets. Rules do the checking; people make the decisions.

Inventory and stock alerts

Low stock, fast sellers and items with no sales are flagged daily in Slack or email, based on thresholds you set for each product or collection.

Supplier purchase orders

When stock falls below a reorder point, the workflow drafts a purchase order with suggested quantities in a sheet or email. A person approves it before it goes to the supplier.

Order exceptions

Orders stuck unfulfilled, address problems, failed payments and split shipments are listed each morning with the reason, so nothing waits until the customer chases.

Fraud flags to a person

Orders that match your risk signals, such as mismatched addresses or unusual order values, are held and sent to a named person. The automation never cancels an order on its own.

Marketing: Klaviyo, reviews and product copy

AI is useful in marketing work where there is a lot of text and a clear brief. Everything customer-facing is checked by a person before it goes live.

Klaviyo flows

Order, return and support events feed Klaviyo so flows and segments react to what customers actually did, such as a replacement sent or a first repeat order.

Review requests and replies

Review requests go out after delivery, not after dispatch. The AI drafts replies to new reviews; positive ones can be approved in bulk, and negative ones go to a person.

Product descriptions

Drafts product titles and descriptions from your specs and brand guidelines. A person edits and approves each one before it is published.

Reporting: a daily sales digest, step by step

This is one of the simplest pieces of ecommerce automation to set up. Instead of opening four dashboards each morning, the team gets one short summary of what happened yesterday and what needs attention today.

1

Pull

Orders, refunds, stock and ticket counts are pulled from your store and tools overnight.

2

Reconcile

Figures are matched across systems so refunds and cancellations are not counted twice.

3

Compare

Yesterday is compared with the same day last week and your targets.

4

Flag

Rules pick out unusual drops, spikes, stock risks and stuck orders.

5

Summarise

An LLM writes a short plain-English summary of the numbers and the flags.

6

Send

The digest arrives in Slack or email before the team starts work.

7

Record

Daily figures are saved to Google Sheets so trends build up over time.

8

Check

Totals are checked against your finance figures in Xero or QuickBooks each month.

Tools we can connect to

We build around the store you already run. Where a tool has its own automation, such as Shopify Flow, we use it when it is enough, and add n8n and an LLM when a job crosses several systems.

Store platforms

Shopify automation through its API and Shopify Flow, and WooCommerce through its REST API and webhooks.

Support desks

Gorgias, Zendesk and Shopify Inbox for tagging, drafting and routing customer conversations.

Marketing

Klaviyo for events, flows and segments, plus your review platform where it offers an API.

Team and data

Slack for alerts and approvals, Google Sheets for stock, supplier and reporting data.

Finance

Xero and QuickBooks for reconciling sales, refunds and fees with what the store reports.

The workflow layer

n8n runs the workflows, with OpenAI or Anthropic models used only for steps that read or write text.

A worked example

A hypothetical store, to show the arithmetic rather than a client result.

Before

Say an online store gets 400 tickets a week and 40% of them, or 160, ask where an order is. Each takes about 3 minutes to look up and answer: 480 minutes (8 hours) a week.

After

Say the AI answers 120 of those 160 from tracking data. Staff handle the other 40 at 3 minutes each (120 minutes) and spend half an hour a week checking a sample of AI replies: 150 minutes in total.

What changes

Under those assumptions the team saves 5.5 hours a week on order status questions alone, and customers get an answer without waiting for office hours.

What stays with your team

Good AI for ecommerce handles the lookups and the drafts. Decisions that cost money or affect a customer relationship stay with people.

Automated

  • Order status replies from tracking data
  • Ticket tagging and reply drafts
  • Stock, exception and fraud flags
  • Daily sales digest and saved figures

Approved by a person

  • Refunds and returns outside policy
  • Cancelling or releasing flagged orders
  • Supplier purchase orders
  • Published product copy and negative review replies

Related work

Selling in shops as well as online? Many of the same workflows apply across both.

FAQs

Short answers for store owners deciding where AI is worth using.

What does AI for ecommerce actually do?

It handles the repetitive lookups and writing around an online store: answering order status questions, drafting support and review replies, flagging stock and order problems, and writing a daily summary of sales. People still make the decisions that cost money.

Does it work with Shopify and WooCommerce?

Yes. We connect to Shopify through its API and Shopify Flow, and to WooCommerce through its REST API and webhooks. Other platforms with an API can usually be connected too.

Will AI reply to customers without anyone checking?

Only for replies you agree are safe, such as an order status update taken straight from tracking data. Refunds, complaints and anything outside policy go to a person, and a sample of automated replies is reviewed each week.

Which help desks can you work with?

Gorgias, Zendesk and Shopify Inbox are the most common. We tag tickets, draft replies and route conversations inside the help desk your team already uses.

Can it reorder stock automatically?

It can draft purchase orders when stock falls below a reorder point, with suggested quantities. A person approves each order before it goes to the supplier.

Will AI-written product descriptions hurt our SEO?

Not if they are useful and accurate. Drafts are based on your own specs and brand guidelines, and a person edits and approves each one before it is published, so you avoid thin or repeated copy.

Is this different from Shopify's built-in automation?

Shopify Flow handles many jobs inside Shopify, and we use it where it is enough. We add n8n and AI when a workflow spans several tools, such as your help desk, Klaviyo, Slack and accounting software.

How do we start?

Book a free audit. We look at your ticket mix, stock process and reporting, and recommend the workflow that will save the most time first.

Spend less time on store admin

Book a free audit and Tenaxity will map your order support, stock checks and reporting, then recommend the first workflow to automate and where a person should stay in the loop.

Book a free audit

Free AI workflow audit

Book your free AI workflow audit

Pick a time that suits you. We will look at one workflow that wastes your team's time and tell you whether it is worth automating, and how.

  • Free, no obligation
  • On Google Meet, with a calendar invite
  • Times shown in your time zone

Rather email? [email protected]