AI solution
Personalised recommendations
Show each shopper the products they’re most likely to love.
Overview
How we help
Recommendations based on browsing and purchase behaviour make stores feel personal and increase order value. We add AI-driven suggestions to product pages, carts, the homepage and emails.
Process
How we deliver it
A clear, four-phase process. You always know what’s happening, what you’ll receive and what comes next.
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01Week 1
Assess
Review your catalogue data and shopper behaviour.
You receive
- Data readiness check
- Success metrics
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02Weeks 2–3
Configure
Select models and tune them on your products.
You receive
- Tuned model
- Relevance tests
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03Weeks 3–5
Integrate
Embed the feature in your store with your branding.
You receive
- Live feature
- Branded UI
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04Monthly
Measure & tune
Track conversions and refine results monthly.
You receive
- Impact report
- Tuning updates
Technology
Tools we use
We pick the right tools for your goals, budget and existing systems.
- OpenAI
- Claude
- Gemini
- Pinecone
- Algolia
- Python
- Shopify
- WooCommerce
How much data do I need?
Even smaller stores benefit. Models start with product similarity and improve with behaviour data.
Can recommendations respect stock?
Yes. Out-of-stock and excluded products can be filtered automatically.
Ready to put AI to work in your store?
Tell us where you are and where you want to be. We’ll reply within one working day with honest next steps.