Industry · E-commerce

Storefronts that run themselves.

Order desks, stock counts, and customer updates are the three things that break first as an ecommerce operation scales. We automate all three, then hand you the keys.

Less manual order handling
80%
Order processing time
45 → 8 min
To production
4–8 wks
Support coverage
24/7
What we build · Use cases

Four problems, four systems.

Each of these eats a real part of the week today. Each one is automatable now — not in some future roadmap.

Use case01

Order Management

One desk for every channel you sell through.

Problem

Orders arrive from a storefront, two marketplaces, and the phone. Someone re-types each one into the ERP every morning, and a typo becomes a wrong shipment.

Solution

An ingestion layer normalises every channel into one order record. Exceptions surface to a human; the rest posts to the ERP untouched.

Use case02

Inventory Tracking

Stock that stops lying to you.

Problem

Counts drift from reality by mid-week. You oversell an item, then apologise to a customer who already paid.

Solution

One stock service as the single source of truth, with low-threshold alerts and reorder triggers that fire before you run dry.

Use case03

Customer Notifications

The end of "where is my order?"

Problem

Support spends its day answering status questions that the system already knows the answer to.

Solution

Email, SMS, and push flows keyed to real lifecycle events. The customer hears from you before they think to ask.

Use case04

Pricing Optimisation

Margin decisions that aren't guesswork.

Problem

Prices are set once and revisited when someone remembers. Slow movers tie up cash; hot items sell out underpriced.

Solution

Rules-based and ML-assisted pricing tuned for margin and sell-through — always behind a human approval gate.

Related sectors

Adjacent operations.

Start here

Working in e-commerce?

Book a 30-minute call. We'll map your workflow and tell you honestly which part is worth automating first.

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