AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

List of Algonomy RichRelevance Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
100 Black Men Of Savannah Construction and Real Estate 10 $1M United States Algonomy Algonomy RichRelevance Personalization and Product Recommendations 2019 n/a
In 2019, 100 Black Men Of Savannah deployed Algonomy RichRelevance on its public website, adopting Algonomy RichRelevance as the core personalization and recommendation engine. The deployment is focused on site-level experience, embedding the Algonomy RichRelevance runtime into web pages to surface personalized content and recommendation decisioning for visitors to the organization website. The implementation centers on customer-facing recommendation widgets and personalization rule configuration, with implementation work proportionate to a small organization of roughly 10 employees. Integrations are limited to the public website surface, using client-side embedding and API-driven calls to Algonomy RichRelevance to request personalized content at page render, and operational ownership resides with the digital and marketing function that manages content and rule sets. Governance emphasizes lightweight rule management and staged configuration updates to control on-site behavior, and the implementation impacts digital engagement and membership outreach workflows for the organization.
1STOPLighting Distribution 60 $6M United States Algonomy Algonomy RichRelevance Personalization and Product Recommendations 2015 n/a
In 2015, 1STOPLighting implemented Algonomy RichRelevance on its website. The deployment uses Algonomy RichRelevance and the Apps Category . The implementation focused on core personalization and recommendation capabilities, including catalog feed ingestion, behavioral event capture, real time recommendation APIs, merchandising rule configuration, and onsite A/B testing workflows. Operational scope covered the customer facing e commerce site and supported merchandising and marketing functions for product discovery and cross sell orchestration. Governance centered on data mapping for product and event feeds, phased feature rollouts to merchandising users, and iterative tuning of recommendation models and merchandising rules by internal teams.
Air Compressor Service Professional Services 10 $1M United States Algonomy Algonomy RichRelevance Personalization and Product Recommendations 2017 n/a
In 2017 Air Compressor Service implemented Algonomy RichRelevance on its customer-facing website. The deployment used Algonomy RichRelevance, and the Apps Category "" is used to deliver on-site product recommendations and personalization across merchandising touchpoints. Implementation scope was website-led, focused on embedding Algonomy RichRelevance into product detail pages, category listings and search result pages to influence product discovery. Operational ownership was concentrated within marketing and e-commerce operations at the ten-person firm, with configuration work centered on recommendation logic, relevance tuning and front-end integration rather than enterprise back-office systems.
Retail 44475 $22.8B United Kingdom Algonomy Algonomy RichRelevance Personalization and Product Recommendations 2018 n/a
Retail 11 $3M United States Algonomy Algonomy RichRelevance Personalization and Product Recommendations 2018 n/a
Retail 44481 $4.8B Brazil Algonomy Algonomy RichRelevance Personalization and Product Recommendations 2016 n/a
Retail 100 $5M Brazil Algonomy Algonomy RichRelevance Personalization and Product Recommendations 2016 n/a
Professional Services 500 $16M Hong Kong Algonomy Algonomy RichRelevance Personalization and Product Recommendations 2015 n/a
Professional Services 300 $35M Austria Algonomy Algonomy RichRelevance Personalization and Product Recommendations 2015 n/a
Manufacturing 1000 $196M Australia Algonomy Algonomy RichRelevance Personalization and Product Recommendations 2015 n/a
Showing 1 to 10 of 256 entries

Buyer Intent: Companies Evaluating Algonomy RichRelevance

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Algonomy RichRelevance. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Algonomy RichRelevance for Personalization and Product Recommendations include:

  1. Publicis Groupe, a France based Media organization with 107273 Employees
  2. Hackajob, a United Kingdom based Professional Services company with 100 Employees
  3. ByteDance, a China based Professional Services organization with 150000 Employees

Discover Software Buyers actively Evaluating Enterprise Applications

Logo Company Industry Employees Revenue Country Evaluated
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FAQ - APPS RUN THE WORLD Algonomy RichRelevance Coverage

Algonomy RichRelevance is a Personalization and Product Recommendations solution from Algonomy.

Companies worldwide use Algonomy RichRelevance, from small firms to large enterprises across 21+ industries.

Organizations such as Costco, Samsung Electronics South Korea, Samsung Electronics and Samsung Semiconductor are recorded users of Algonomy RichRelevance for Personalization and Product Recommendations.

Companies using Algonomy RichRelevance are most concentrated in Retail and Manufacturing, with adoption spanning over 21 industries.

Companies using Algonomy RichRelevance are most concentrated in United States and South Korea, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Algonomy RichRelevance across Americas, EMEA, and APAC.

Companies using Algonomy RichRelevance range from small businesses with 0-100 employees - 20.7%, to mid-sized firms with 101-1,000 employees - 30.08%, large organizations with 1,001-10,000 employees - 30.86%, and global enterprises with 10,000+ employees - 18.36%.

Customers of Algonomy RichRelevance include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.

Contact APPS RUN THE WORLD to access the full verified Algonomy RichRelevance customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Personalization and Product Recommendations.