E-commerce brand · 2025
Recommendation Engine Integration
Personalized product recommendations integrated into an e-commerce storefront to lift engagement and conversion.
- Client
- E-commerce brand
- Role
- Project Manager
- Timeline
- Jan 2025 – May 2025
- Domain
- AI / E-commerce
- Approach
- Agile
- Team size
- 5–9
- Budget
- Up to $250K
Objective
Integrate a recommendation engine into an e-commerce storefront to deliver personalized product suggestions.
What I did
- ▸ Defined recommendation use cases and KPIs
- ▸ Coordinated data pipeline and model integration
- ▸ Planned A/B testing and rollout
- ▸ Tracked engagement and conversion metrics
- ▸ Coordinated storefront UI placements
Key deliverables
- ▸ Recommendation integration
- ▸ Data pipeline
- ▸ A/B test setup
- ▸ Storefront UI placements
- ▸ Performance reporting
Outcome
Delivered personalized recommendations that improved engagement and supported conversion goals.
Tools & tech
- Recommender systems
- APIs
- Analytics

