AI Solutions

Recommendation Engines

Personalised product, content and next-best-action suggestions at scale.

Generic experiences lose attention. A recommendation engine ranks what each person sees using their behaviour and context rather than an average.

What we build

Product and content recommendations for web and mobile
Next-best-action prompts for sales and service teams
Search ranking and merchandising rules that respect business priorities
Email and campaign personalisation driven by the same models

How we deliver it

Cold-start handling so new users and new products are not left out
Business rules layered over model output — margin, stock and compliance
A/B testing built in, so lift is measured rather than assumed
Response times fast enough to sit in the page render path

Where it fits

Catalogues too large to browse comfortably
One-size-fits-all merchandising and messaging
Rich behavioural data that only feeds reports

More in AI Solutions

Predictive Analytics

Forecasts for demand, capacity, risk and churn, delivered where planning happens.

Conversational AI

Chat and voice assistants that resolve routine queries and hand over cleanly when they should.

Sentiment Analysis

Reading tone and intent across reviews, tickets and survey responses at scale.

Object Detection

Locating and tracking items, people and equipment in images and video streams.

Visual Inspection

Automated quality checks that catch defects consistently and keep the evidence.

Put recommendation engines to work

Book a short call with our engineers to talk through your data, your constraints and what a first version could look like.

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