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RichRelevance was acquired by Algonomy (formerly Manthan).
Brief
RichRelevance

RichRelevance

RichRelevance delivered AI-powered, real-time personalization across the entire customer journey, enabling retailers to increase conversion rates, average order value, and customer loyalty through individualized product recommendations and content experiences.

richrelevance.comSan Francisco, California, United StatesFounded 2006

Last updated May 11, 2026 by ATDb automated enrichment · Connections updated May 13, 2026

Industry
Personalization & Recommendation Technology
Business Model
SaaS
Target Market
Enterprise
Employee Count
201-500
Funding
$130M
Revenue Range
$30M-$60M
Stock Symbol
N/A
Parent Company
Algonomy
API Available
Yes
Market Position

A top-tier retail personalization platform that held significant market share among enterprise retailers before being rebranded as Algonomy following its merger with Manthan in 2021.

Overview

RichRelevance was a leading personalization-as-a-service platform founded in 2006 and headquartered in San Francisco, California. The company built its reputation by providing sophisticated AI and machine learning-powered product recommendations, search personalization, and content targeting solutions primarily for large retail and e-commerce enterprises. Its technology helped major retailers deliver individualized shopping experiences across web, mobile, email, and in-store channels, processing billions of data points to drive conversion and revenue lift.

Products & Features

Recommend

AI-powered product recommendation engine delivering personalized suggestions across web, mobile, email, and in-store touchpoints.

Find

Personalized site search and navigation solution that tailors search results to individual shopper behavior and preferences.

Engage

Content and experience personalization tool enabling targeted messaging, banners, and promotions based on customer segments and real-time context.

Discover

Category and browse personalization solution that reorders product listings dynamically based on individual shopper affinity.

Xen AI

The underlying open personalization AI framework allowing retailers to build, test, and deploy custom algorithms alongside pre-built models.

Key Features
Real-time AI-driven product recommendationsPersonalized site search and navigationOpen algorithm architecture for custom model deploymentOmnichannel personalization across web, mobile, email, and in-storeA/B and multivariate testing for personalization strategiesCustomer segmentation and behavioral analyticsExperience personalization and dynamic content targetingScalable big data processing for billions of interactions
Use Cases
Product recommendations on e-commerce homepages and product detail pagesPersonalized search results and category page sortingEmail personalization with individually tailored product suggestionsIn-store associate tools powered by customer purchase historyCart and checkout upsell and cross-sell recommendationsBehavioral retargeting and re-engagement campaignsNew visitor cold-start personalization using contextual signals
Customer Segments
Large enterprise retailersOmnichannel retail brandsE-commerce pure-play companiesDepartment stores and specialty retailersConsumer electronics retailersFashion and apparel brands

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