eCommerce websites lose 97% of their web traffic due to their inability to customize the shopping experience for different shopper types. R2decide changes this by personalizing every interaction on the website
Increase in search volume
Growth in searches per session
Increase in clicks per session
Improvement in conversion rates
Growth in gross sales
Metrics measured on scale of 0-1 (higher is better) • Based on Amazon ESCI Dataset
Understand and adapt to different shopper types while maintaining control of your sales approach
Customers who are browsing while learning and discovering their needs
Customers who know exactly what they want and communicate their needs clearly
Make shopping effortless and enjoyable. Our smart search, dynamic filters, and chat guide shoppers to the perfect products, boosting satisfaction and sales success.
Our multimodal RAG approach embeds each product into three and more embedding spaces. We utilize weighted fusion technique to achieve optimal accuracy.
AI-driven reinforcement learning dynamically optimizes product rankings based on user behavior, query relevance, and engagement metrics, maximizing conversions in real-time.
Fine-Tuned Embeddings for Each Product Category - Delivering the Best Matches for Searches - Maximize Your Revenue!
Using Precomputed Facets, we ask the 'Best Next Question' to Guide Users to the Perfect Choice, boosting NPS and revenue!
Increase Conversions and Reduce Returns - Using pre-trained LLMs to Build Trust and Guide Confident Purchase Decisions!
Optimized Embedding Reduction for Sub-400ms Response Times - Faster Search, Higher Revenue!
Head of eCommerce - J&G
“Clearly better. We see more revenue instantly.”
CEO - Decent Espresso
“The decision was easy. Best Search I have seen in a long time”