AI CONSULTING & DEVELOPMENT
Recommendations
Predictive AI for e-commerce and other industries: personalized suggestions, customer scoring, data analysis.
We build intelligent systems that turn your data into decisions.
Personalized Recommendations
Products & Content
Boost conversion rates by showing users exactly what they want. We build systems that analyze behavior, preferences, and context to surface the most relevant items.
What it handles
- Product recommendations based on browsing and purchase history
- Content personalization for media platforms and blogs
- “Customers also bought” and “You might like” suggestions
- Real-time recommendations that adapt to user sessions
The result: Higher engagement, better conversion rates, and customers who feel understood.
Intelligent Matching
People & Opportunities
Connect people, products, or opportunities using AI that understands semantic meaning. We transform profiles and preferences into vector embeddings for deep compatibility matching.
What it handles
- Multi-factor compatibility scoring with weighted criteria
- Geographic constraints and conditional logic
- Semantic matching that goes beyond keyword search
- Batch processing for large-scale matching operations
Where it shines: Dating platforms, job boards, B2B marketplaces, mentor programs.
Customer Scoring
Leads & Churn
Identify your most valuable leads before your competitors do. Our predictive models analyze behavioral patterns to score prospects and flag at-risk customers.
What it handles
- Lead scoring based on engagement signals and fit criteria
- Churn prediction with early warning indicators
- Customer lifetime value estimation
- Segmentation for targeted campaigns
The outcome: Focus your sales team on leads that convert, and save customers before they leave.
How we build it
Every recommendation system is different. We start by understanding your data landscape, then design an architecture that fits your scale and budget.