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Personalization that's as fast as your B2C shoppers

Relewise’s self-learning engine adapts to live behavior and seasonality in milliseconds, keeping every experience relevant and driving higher engagement and sales.

Why fast-moving B2C brands need adaptive personalization

In B2C retail, trends can shift overnight. Shoppers move fast, expect instant relevance, and rarely give second chances.
Relewise helps you keep up by learning directly from real-time behavior, like what shoppers click, add, or buy. It then instantly updates search results and recommendations to stay in step with them.

NÜ Denmark: Strengthening brand relevancy with AI personalization

See how NÜ Denmark uses self-learning personalization to support its brand strategy, with 48% of all orders now influenced by Relewise.

 

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Relewise customer - NÜ fashion retailer

Get soaring with intent-aware AI for retail, lifestyle, and more!

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Fully automated self-learning engine

Our AI engine refines itself continuously, learning from every click, cart addition, and purchase in real time. Relewise instantly adapts to emerging trends, seasonality shifts, and customer behavior changes without downtime. Achievie market-leading personalization, reduce complexity, and free your teams to focus on strategy and growth.

 

Adaptive intent recognition

Relewise 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.

Real-time predictive personalization

Relewise 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.

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.

Predictive search

Our 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, helps customers quickly find relevant items and decreases bounce rates.

NLP-enhanced search

With Natural Language Processing (NLP) it becomes easier 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.

Important info!
Data & compliance

We're ISAE 3000 audited

Relewise is independently audited under ISAE 3000 on an ongoing basis. An external auditor regularly reviews the controls behind our AI features and verifies that customer data is processed securely and in line with GDPR, providing up-to-date third-party assurance for your team.

What are the steps involved to get Relewise on your site?

Turn the pages on the carousel below to see a simple overview of the 6 steps you will go through together with our team to get Relewise implemented on your site.

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1. Getting in touch

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2. Getting to know you

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3. Exploring your potential

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4. Planning with partners

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5. Signing contracts and onboarding

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6. Optimizing and ensuring efficiency

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If you've got a couple of questions before diving into your free trial, we'd love to help. Choose your option here below!

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