Our customer data is split across systems. Where do we start?

There. Consolidating the sources into a single profile is the part that determines whether anything built on top is any good, and it is the first phase of the work rather than a prerequisite you have to solve alone first.

Can recommendations run inside our existing storefront?

Yes. These are delivered as API-based services, so they plug into the storefront and channels you already run rather than requiring a replatform.

How do we know the recommendations are actually better?

They are evaluated against your own historical data and the outcomes your business is measured on, not a generic benchmark. If the numbers do not move, that is visible rather than hidden.

Retail and E-commerce

Personalisation, recommendations and distribution analytics for retail brands managing customers and inventory across channels.

Overview

AI and analytics for retail & e-commerce

Personalisation, recommendations and distribution analytics for retail brands managing customers and inventory across channels.

Most retail personalisation is guessing politely. The recommendation engine sees one channel, the loyalty system sees another, and neither knows the customer standing in the store is the same person who abandoned a basket online last night — so the recommendation is generic and the customer notices.

The work starts with the profile, not the model. Consolidate customer data across channels into one view, then build recommendations and merchandising analytics on top of something that actually represents the customer.

Common challenges

Fragmented customer data across channels with no single profile
Generic recommendations that don't reflect real purchase behaviour
Distribution and merchandising decisions made without a unified view

What we build

Types of solutions we provide

Capabilities we've applied specifically to Retail and E-commerce.

Recommendation Engines
Personalisation tuned to your catalogue and customer behaviour.
Unified Customer Profile
One profile across channels for personalisation and targeting.
Distribution Analytics
Interactive dashboards across regions, channels and product lines.
Merchandising Dashboards
Inventory, pricing and promotion reporting.

Relevant services

Service families used in this sector

AI & Machine Learning
Agents, generative pipelines and vision/document models that read, reason and act on your data — not demos, production systems.
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Data, BI & Dashboards
Dashboards leadership actually opens — Power BI, Tableau and custom builds, refreshed automatically and trusted by everyone who reads them.
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Related work

Verified Retail and E-commerce projects

Customer Intelligence Platform
AI-powered personalisation and recommendation engine for a premium retail group — a unified customer profile across every channel.
Visual Distribution Dashboard
Multi-dimensional distribution view with rich interactive visualisations — segment, filter and compare across regions, channels and product lines.

See all work

What you get

What a Retail and E-commerce engagement delivers

Built to this sector's constraints, then handed over. Code, infrastructure and accounts are delivered to you — no proprietary lock-in, no hostage licensing.

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A unified customer profile assembled across channels
Recommendations built on real purchase behaviour
Distribution and merchandising analytics in one view
Automated refresh, so the analysis is never stale
The data pipeline behind the model, not just the model

Questions