AI Recommendation Engines.
Shipped Fast.

Minimum 1,000 users with behavioral data and 50+ products. More data means better recommendations. For new businesses, we start with content-based recommendations (product similarity) and add collaborative filtering as user data accumulates.

Industry benchmarks: 10-30% increase in average order value, 15-25% increase in conversion rate for e-commerce. Results vary by industry, catalog size, and traffic volume. We measure impact through A/B testing from day one.

Yes, but differently. With 20 products, collaborative filtering has limited data. We use content-based and contextual recommendations: time of day, user location, referral source, and browsing sequence to personalize even with small catalogs.

Basic recommendation engine: 3-4 weeks. Advanced system with real-time personalization, A/B testing, and multi-channel deployment: 6-8 weeks.

Development starts at Rs.2,00,000 ($2,500 USD). Ongoing infrastructure costs are typically Rs.5,000-15,000/month depending on traffic volume and model complexity.

Yes. The recommendation API serves the same personalized suggestions to your website, email templates, mobile app, and push notifications. One brain, multiple touchpoints.

For new users with no history, we use: popular items, content-based similarity to items they are currently viewing, and demographic defaults. As they interact, personalization kicks in within 3-5 actions.

Yes. We can display reasoning: "Recommended because you viewed similar items" or "Popular with customers in your area." Transparent recommendations build user trust and increase click-through rates.