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Solutions · Recommendation systems
Recommendations that move revenue, not vanity metrics.
Personalization for retail, content, and B2B. Ranked, explainable, and measured against real business outcomes.
When you need this
- Your catalog has outgrown what manual merchandising can handle.
- Click-through and time-on-site are good, but revenue per session is flat.
- You need to personalize without losing editorial control.
- Your current recommender is a black box nobody trusts.
What we deliver
- Candidate generation and ranking models
- A/B testing harness and experiment tracking
- Business rules layer for merchandising overrides
- Real-time or batch serving layer
- Model governance and evaluation cadence
Governance posture
Safe to deploy. Easy to audit.
Experiment registry, business-rule audit trail, fairness checks where applicable.
Related customer stories
How this looks in production.
Bring your use case to a working session.
30 minutes, no pitch. We scope whether recommendation systems fits, and if so, what the first phase looks like.