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Industry — Retail & E-commerce

AI for Retail & E-commerce

Shoppers expect relevance, speed and a price that's right. We build AI that personalises the storefront, forecasts demand, and takes pressure off support — so you sell more and serve better, online and in store.

Why AI here

More relevance, less guesswork — on every order

Retail lives or dies on small margins and split-second decisions: what to show a shopper, how much to stock, what to charge, how fast to answer. AI turns your order history and catalogue into those decisions — automatically and at scale.

We focus on the moves that move revenue: better recommendations, sharper forecasts and support that handles the routine, so your team can focus on the customers who need a human.

Where AI helps

Use cases across retail & e-commerce

01

Product recommendations

Personalised "you might also like" that lifts basket size and conversion.

02

Demand forecasting

Forecast sales per product and location to cut stock-outs and overstock.

03

Customer-service AI

Grounded assistants that handle routine questions from your own product and policy data.

04

Dynamic pricing

Price suggestions within rules you set, reacting to demand and competition.

05

Search & discovery

Smarter, intent-aware search so shoppers find what they actually want.

06

Returns & fraud

Spot fraudulent orders and reduce avoidable returns before they cost you.

How we work

From use case to live in the store

Step 1

Audit

We find the use cases that move revenue and the data you already have.

Step 2

Build an MVP

By the second call you get a working prototype on your use case — not a spec.

Step 3

Deploy

We integrate with your webshop, POS and CRM so it works where you sell.

Step 4

Monitor

We track lift against a baseline so you see real impact, not vanity metrics.

What you gain

Outcomes retailers can measure

FAQ

Questions, answered

Can you integrate with our webshop platform?

Yes — we work with platforms like Shopify, Magento, WooCommerce and custom stacks through their APIs.

How much data do recommendations need?

Less than you'd think. We can start with your order and catalogue data and improve as more behaviour is captured.

Is dynamic pricing risky?

We add guardrails and rules so pricing stays within limits you set — AI suggests, your rules keep it safe and on-brand.

Online only, or in-store too?

Both. The same forecasting and personalisation work across e-commerce and physical retail.

Want more from every visit?

Tell us where you lose sales — relevance, stock or support — and we'll map a path to value in a free consultation.

Book a free consultation →