What is FactFinder?
FactFinder offers a suite of AI-driven tools designed to enhance the eCommerce shopping experience and boost business performance. Its core product discovery solution integrates intelligent search, filtering, ranking rules, and analytics, ensuring customers can easily find desired products. This platform aims to significantly increase sales and conversion rates by providing a seamless and intuitive journey for online shoppers.
Leveraging artificial intelligence, FactFinder delivers highly dynamic, real-time personalization tailored to individual customer behaviors and preferences. Features like 1:1 product recommendations, predictive basket analysis, customer-specific pricing, and geo-location capabilities further refine the shopping experience. The platform is designed to be flexible and headless compatible, offering eCommerce teams a balance of automation and control to achieve personalized results that drive customer loyalty and higher average order values.
Features
- AI-Powered Search: Intelligent search engine with filtering and ranking rules for product discovery.
- 1:1 Personalization: Delivers dynamic, real-time content tailored to individual customer interactions.
- AI Recommendations: Generates personalized product recommendations based on user behavior, clicks, carts, and purchase history.
- Predictive Basket: AI predicts likely repeat purchases after a customer's second visit.
- Customer-Specific Pricing: Displays dynamic, personalized pricing and discounts in real-time.
- Geo Module: Connects online shoppers to nearby physical store products for an omnichannel experience.
- Merchandising Tools: Allows control over product presentation and ranking.
- Analytics: Provides insights into search performance and customer behavior.
Use Cases
- Improving product findability in online stores.
- Personalizing shopping experiences for individual customers.
- Increasing conversion rates and average order value (AOV).
- Upselling and cross-selling through targeted recommendations.
- Automating merchandising and product ranking.
- Bridging online and physical retail experiences.
- Implementing dynamic pricing strategies for specific customer segments.
- Predicting customer repurchase intent for targeted offers.
