Terprint AI Recommender

Overview

Terprint AI Recommender uses advanced machine learning to provide personalized product recommendations for cannabis dispensaries. Analyze customer preferences, desired effects, and purchase history to suggest the perfect products.

Key Features

• Effect-Based Recommendations - Suggest products based on desired effects (relaxation, energy, pain relief, etc.)
• Cross-Sell & Upsell - Intelligent product bundling and upgrade suggestions
• Customer Preference Learning - AI learns from each interaction to improve recommendations
• A/B Testing Support - Test different recommendation strategies to optimize conversions
• REST API Integration - Easy integration with any e-commerce platform or POS system
• Real-Time Processing - Sub-100ms response times for seamless user experience

Use Cases

• Product detail pages ("Customers also bought...")
• Shopping cart recommendations
• Email marketing personalization
• In-store digital menus
• Budtender assistance tools

Integration

Simple REST API integration with SDKs available for JavaScript, Python, and .NET. Webhook support for real-time event streaming.