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E-commerce & retail

Recommendation engine

Show every shopper what they're most likely to buy next.

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When you need this

  • Merchandising is generic and cross-sell and average order value are low.
  • Shoppers can't navigate a large catalog to what they want.
  • Site and email recommendations are manual or rule-based.
  • You want personalization tied to real inventory and customer data.

What you get

We build recommendation engines that personalize product suggestions across your site, email, and app, integrated with your CRM and ERP so recommendations reflect real catalog and customer data.

  • Personalized recommendations for site, email, and app.
  • Cross-sell, upsell, and 'similar items' modules.
  • Integration with your CRM, ERP, and storefront.
  • A/B testing to prove uplift.
  • Dashboards on recommendation performance.

How we do it

1
Discovery

We agree on the surfaces to personalize and the metrics to move.

2
Data preparation

We consolidate catalog and behavioral data into a reliable base.

3
Model

We build and validate recommendation models for your catalog.

4
Integrate

We connect to your storefront, CRM, and ERP.

5
A/B test

We measure uplift against your current experience.

6
Monitor & improve

We refine models as your catalog and customers change.

Business outcomes

  • Higher conversion, average order value, and repeat purchases.
  • Less manual merchandising.
  • Personalization that respects live inventory.

Why Intellectual Systems

  • Solutions that integrate with your existing tools and workflows.
  • Multilingual delivery, including Modern Standard Arabic and regional dialects.
  • GDPR-aligned by default, adaptable to your specific compliance needs.
  • Long-term support and iteration after launch.

FAQ

How do you handle new products or visitors?
We use content and context signals so cold-start items and first-time visitors still get sensible recommendations.
Does it integrate with our platform?
Yes — we connect to your storefront, CRM, and ERP.
How do you prove it works?
We A/B test against your current experience and report the uplift.
How much data do we need?
We assess your catalog and behavioral data and set expectations up front.
Is customer data secure?
Yes. We follow GDPR principles by default and keep data within your approved environment.

Related solutions

Semantic catalog search Natural-language, typo-tolerant search across your catalogue. Demand forecasting & inventory Forecasts demand and optimizes stock levels to cut shortages and overstock. Dynamic pricing ML-driven price optimization that reacts to demand, competition, and margins.
Interested? Let's build this for your business
Tell us what you're looking to achieve and we'll suggest the most effective solution tailored to your timeline and budget.



Or contact us by email, phone or through social media:



Or contact us by email, phone or through social media: