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

RichRelevance

Personalization & Recommendation Technologyrichrelevance.com

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.

Last updated Jun 23, 2026 by ATDb automated enrichment

Founded
2006
HQ
San Francisco, California, United States
Parent
Algonomy
Connections
23

At a glance

Employees
201-500
Funding
$130M
Revenue
$30M-$60M
Stock
N/A
12integrations10competitors1corporate family
AI-Powered PlatformMarketing AnalyticsE-commerce MarketingMarketing Platform

About

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.

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.

Business model

SaaS

Target market

Enterprise

What they offer

  • 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

Tech & specs

Technology stack

Machine learning and deep learning modelsBig data processing (Hadoop, Spark)Real-time data streamingRESTful APIsJavaScript tag-based deploymentCloud infrastructure (AWS)Collaborative filtering algorithmsNatural language processing for search

Security & compliance

GDPRCCPASOC 2PCI DSS compliant integrations

Deployment

CloudHybrid

API

Yes

Explore further

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