Predictive search
Relewise’s predictive search shows real-time query suggestions and autocomplete results that adapt as users type, with context-aware completions delivered in milliseconds. Results are ranked by click-through and purchase likelihood, giving shoppers faster, smarter paths to what they’re actually looking for. This feature reduces friction in product discovery, helping both B2B and B2C customers quickly find relevant items and decreasing bounce rates.
AI-powered recommendations
Relewise uses trend- and seasonality-aware algorithms to serve relevant products automatically, across every channel. Each recommendation blends real-time signals, historical behavior, and global trends without any need for rule-tweaking. Merchants can fine-tune the balance between popularity and purchase frequency without writing a single line of logic.
For B2C, this powers everything from mixed product-and-content carousels to trending picks and cross-sell accessories, driving more engagement and conversions.
Real-time predictive personalization
Relewise runs in the background, predicting what each shopper is likely to want next. It blends live behavior, historical patterns, and global trends to surface the right product before the user even starts searching. The result is timely, relevant recommendations that boost conversions and basket size without adding more work for your team.
Fully automated self-learning engine
Relewise’s AI engine refines itself continuously, learning from every click, cart addition, and purchase in real time. There’s no need for merchandisers to retrain the model or adjust rules manually. Relewise instantly adapts to emerging trends, seasonality shifts, and customer behavior changes without downtime. For you, it means achieving market-leading personalization, reducing manual overhead and operational complexity, and freeing your teams to focus on strategy and growth instead of daily optimization.
Adaptive intent recognition
Relewise instantly understands not just what your shoppers are looking for, but why they’re looking. It adapts search results and recommendations based on contextual clues like current session signals, previous purchases, category interest, and inventory availability, ensuring each result precisely matches their shopping intent. Each shopper sees the right product faster, leading to quicker decisions and fewer missed sales.
NLP-enhanced search
Relewise incorporates Natural Language Processing (NLP) to handle the messy reality of real-world search. Built-in stemming, compound-word splitting, and synonym matching ensure that even misspelled or oddly phrased queries still return accurate results. This particularly benefits brands operating across multilingual markets, enhancing customer satisfaction by delivering precise results regardless of query variations.
1. Getting in touch
2. Getting to know you
3. Exploring your potential
4. Planning with partners
5. Signing contracts and onboarding
6. Optimizing and ensuring efficiency
Put AI in charge of your personalization today.
Book an online chat with one of our experts today. You’ll tell us about your business, and together we’ll explore how AI can help you reach your personalization potential.
