Product recommendation engine
Recommend relevant products (cross-sell, up-sell) based on behavior and profile.
+15%
basket size increase
The problem
No reliable steering on product recommendation engine.
The current process is manual or inconsistent.
Decisions come too late due to weak signals.
Margins are under pressure and inventory is misaligned.
Prerequisites: required data & tools
Required data
- Browsing history
- purchasing
- profils customers
Compatible tools
- Algolia Recommend
- Recombee
- AWS Personalize
Not sure you have the data? Our Maturity Auditor can assess your situation in two weeks.
Explore the Maturity Auditor →What we implement in 3-6 months
In 3-6 months: Recommend relevant products (cross-sell, up-sell) based on behavior and profile. with measured impact on basket size increase.
Weeks 1-2
Diagnosis
Weeks 3-6
Build
Week 7+
Delivery
Concrete deliverables
Business framing and decision rules for product recommendation engine
Operational engine for product recommendation engine
Steering dashboard with alerts
Action playbook and governance
Expert insight
Typical revenue uplift of +10–25% on basket size. Classic e-commerce use case.
— Datasive, expertise terrain
Tech maturity
High
Mature solutions, fast deployment
Medium
Maturing tech, requires customization
Emerging
Cutting-edge innovation, R&D approach
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Maturity Auditor
Scorecard + roadmap 90 jours pour cadrer la transformation data/AI.
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