AI automation for the online store you actually run

E-commerce is where automation pays back fastest

A store generates a steady, high-volume stream of near-identical tasks, and that is exactly the shape of work automation is built for. Every order needs the same handling, every listing needs the same fields, every stock movement needs to reach the same channels. Done by hand, that work scales linearly with sales: double the orders and you double the clicking. Automated, it scales for free, and your team goes back to the decisions that actually need a person.

We focus tightly on the e-commerce stack rather than generic office automation, because the tools, the data shapes, and the failure modes are specific. A Shopify order webhook, a WooCommerce REST call, an Amazon feed, a 3PL's shipping API: these have their own quirks, and the difference between an automation that survives Black Friday and one that quietly drops orders is knowing them. That focus is the point of this hub.

• Product listings: generate and optimise descriptions, titles, and attributes at catalogue scale
• Orders: route, tag, and push every order across store, ERP, and shipping without retyping
• Carts: recover abandoned checkouts with timely, personalised, on-brand flows
• Inventory: keep stock accurate across storefront and every marketplace you sell on
• Support: resolve order-status, WISMO, and returns questions before they reach a human
• Pricing: monitor the market and reprice on rules you set, never on autopilot alone

Built on your platform, connected to everything around it

Almost every store runs on a platform that already exposes an API, and that is our way in. Shopify and WooCommerce have rich APIs and webhooks; the big marketplaces have feeds and order APIs; your ERP, 3PL, and email tool have their own. We wire these together with n8n, Make, Zapier, or code, dropping an LLM in as a step wherever the job needs reading, writing, or judgement, so the automation touches the real systems you run today rather than a parallel copy.

The hard part of e-commerce automation is rarely one system in isolation; it is keeping many systems agreeing with each other. An order placed on your Shopify store has to reach your warehouse, decrement stock everywhere you sell, trigger the right shipping label, and update the customer, all without a race condition losing a sale. We build that plumbing with retries, idempotency, and error handling, so a marketplace hiccup or an API timeout raises an alert instead of silently corrupting your numbers.

Human-in-the-loop, because e-commerce mistakes are public

Automation that touches prices, published listings, and customer messages can do visible damage fast, so we are deliberate about where a person stays in the loop. AI-drafted product copy is reviewed before it goes live. A repricing rule has floors and ceilings you set, and pauses itself when the market moves outside sane bounds. A support agent handles the clear cases and hands the ambiguous or angry ones to a human with full context. The machine does the volume; the judgement stays with you.

We are also honest about when not to automate. Some things belong with a person: a pricing strategy for a hero product, a delicate reply to a furious customer, the decision to discontinue a line. We will tell you when a workflow is a bad idea, or when the safer version is an assist rather than a full auto-pilot. Bad automation in a store is worse than none, because it fails in front of paying customers.