Digital Commerce
Personalisation & AI Recommendations
We implement AI-powered personalisation systems that serve the right product to the right customer at the right moment — recommendation engines, dynamic content, predictive search, and behavioural targeting that increase average order value and repeat purchase rates.
What We Build
Personalisation & AI Capabilities
From recommendation engines to dynamic content and predictive search — AI personalisation across every touchpoint in the customer journey.
Product Recommendation Engines
AI-driven recommendation systems — collaborative filtering, content-based filtering, and hybrid models — powering homepage recommendations, PDP cross-sells, cart upsells, and post-purchase suggestions with real-time personalisation.
Dynamic Storefront Content
Homepage banners, featured collections, promotional content, and navigation that adapt in real time based on each visitor's browsing history, segment, and predicted intent — serving the most relevant experience automatically.
Predictive Search & Discovery
AI-powered search that learns from query patterns, returns personalised results, handles natural language queries, and surfaces relevant products even for ambiguous or misspelled searches.
Behavioural Segmentation
Real-time audience segmentation based on on-site behaviour, purchase history, engagement signals, and predicted lifetime value — enabling dynamic personalisation across email, ads, and on-site content simultaneously.
Email & Campaign Personalisation
Dynamically generated email content with personalised product picks, restocked items from wishlists, and targeted offers based on each recipient's individual purchase history and browsing behaviour.
A/B Testing & Optimisation Framework
Structured experimentation infrastructure for testing recommendation placements, personalisation strategies, and content variations — with statistical significance tracking and automated winner deployment.
How We Work
Our Personalisation Implementation Process
From data infrastructure to live personalisation — a structured approach that builds the foundation before deploying AI at scale.
Data & Infrastructure Audit
Reviewing your current data collection, tracking setup, and platform capabilities — establishing the data foundation that personalisation depends on.
Personalisation Strategy
Defining the personalisation use cases, recommendation placements, segmentation model, and success metrics for each customer touchpoint.
Model Development & Integration
Building or integrating recommendation models and connecting them to your storefront, email platform, and ad channels with real-time data feeds.
Testing & Calibration
A/B testing recommendation placements and model configurations, with statistical validation before rolling out to 100% of traffic.
Monitoring & Retraining
Ongoing model performance monitoring, data drift detection, and periodic retraining to maintain recommendation quality as your catalogue evolves.
Iterative Expansion
Expanding personalisation coverage to new touchpoints — search, email, push, SMS, and ads — as the core system proves ROI.
Why SharpLogic
Why commerce teams choose us for personalisation
Real-time personalisation
Recommendations that update in real time based on each session's behaviour — not yesterday's data or static segments that go stale.
Full-funnel coverage
Personalisation across every customer touchpoint: on-site, email, search, push, and paid ads — with a unified customer understanding powering all channels.
Privacy-compliant design
GDPR, CCPA, and ePrivacy-compliant personalisation architecture — consent-aware, data-minimised, and built to work effectively with or without third-party cookies.
Measurable AOV impact
Our personalisation implementations are measured in AOV uplift, conversion rate improvement, and revenue per visit — not vanity metrics.
Industries We Serve
AI personalisation across every vertical
Make every visit personal
Ready to implement AI-powered personalisation?
From product recommendations to dynamic content — our team builds the personalisation infrastructure that turns anonymous visitors into loyal, high-value customers.