White-label Recommendation engines solution for e-commerce stores

A white-label recommendation engines product that e-commerce stores can rebrand and resell as their own business.

Target audience

E-commerce stores

Problem solved

E-commerce stores often overpay for recommendation engines because pricing is opaque and alternatives are hard to compare.

Solution

Build an MVP with Vector databases and scikit-learn, validate with 20 pilot users, then expand features based on real feedback.

Technologies

Vector databases, scikit-learn, Hugging Face

Monetization

SaaS subscriptions; Enterprise licenses

Challenges

Poor data quality; High GPU and API costs

Improvements

Build an analytics dashboard so users can measure their ROI clearly.; Introduce tiered pricing with a free starter plan to lower adoption friction.