List of RichRelevance Platform Customers
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Since 2010, our global team of researchers has been studying RichRelevance Platform customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased RichRelevance Platform for Customer Experience from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using RichRelevance Platform for Customer Experience include: Marks & Spencer_x000D_, a United Kingdom based Retail organisation with 64000 employees and revenues of $18.10 billion, Leroy Merlin Italia, a Italy based Retail organisation with 8500 employees and revenues of $1.60 billion, Holland & Barrett, a United Kingdom based Retail organisation with 7800 employees and revenues of $800.0 million, 3 Suisses, a France based Retail organisation with 500 employees and revenues of $275.0 million and many others.
Contact us if you need a completed and verified list of companies using RichRelevance Platform, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the CRM software purchases.
The RichRelevance Platform customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of CRM software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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3 Suisses | Retail | 500 | $275M | France | RichRelevance | RichRelevance Platform | Customer Experience | 2009 | n/a |
In 2009, 3 Suisses implemented RichRelevance Platform to strengthen Customer Experience for its online retail operations. The deployment centered on RichRelevance Platform as a centralized personalization and recommendation layer, delivering catalog aware product recommendations, behavioral targeting, and real-time decisioning to influence onsite merchandising and content selection. Configuration emphasized profile driven targeting, campaign orchestration, and runtime rules to tailor shopping journeys across the storefront.
Operational coverage spanned e-commerce, merchandising, and digital marketing teams in France, aligning personalization outputs with category merchandising and promotional calendars. Governance shifted toward centralized recommendation rule sets, formalized A B testing workflows, and product feed cadence for catalog updates, with planned integration touch points for event streams and e-commerce data feeds to sustain real-time personalization. The implementation positions 3 Suisses, RichRelevance Platform, Customer Experience as the core personalization architecture supporting commerce decisioning and campaign execution.
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Holland & Barrett | Retail | 7800 | $800M | United Kingdom | RichRelevance | RichRelevance Platform | Customer Experience | 2017 | n/a |
In 2017 Holland & Barrett deployed the RichRelevance Platform as part of its Customer Experience stack for UK and Ireland e-commerce, targeting personalization and merchandise optimization across web and mobile. The RichRelevance Platform was used by the digital merchandising function to operationalize customer-centric decision making and surface commercial opportunities across category and landing pages.
The implementation focused on personalization and recommendations, analytics-driven merchandising rules, mobile-first content placement, homepage category slotting and tactics to limit out-of-stock impact. Configuration work emphasized rule-based and algorithmic merchandising to highlight key lines and to ensure category space on the homepage and landing pages aligned with trading priorities.
Integrations and operational coverage included using data from Adobe Analytics, Google Analytics, Hitwise, Contentsquare, RichRelevance and BazaarVoice to follow the customer journey and inform merchandising decisions. Day-to-day operations spanned the Digital Merchandising team, Online Trading, UX, Trading and Buying, Activity Planning, Online Stock Planning, and cross-channel teams including Digital Marketing, Email and Social.
Governance was driven through cadence with the Head of Online Trading to align platform-driven merchandising with business goals and budgets, and through regular cross-functional meetings to share insights and schedule promotional activity. As stated by the digital merchandising team, the deployment supported efforts to maximise sales and opportunities, improve product visibility across pages, and minimise the duration and impact of out-of-stocks.
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Leroy Merlin Italia | Retail | 8500 | $1.6B | Italy | RichRelevance | RichRelevance Platform | Customer Experience | 2017 | n/a |
In 2017, Leroy Merlin Italia implemented the RichRelevance Platform to add personalization and machine learning to their ecommerce site www.leroymerlin.it. The deployment targeted product discovery and project-based recommendations as Customer Experience capabilities to help increase items per order and customer satisfaction through more intelligent product presentation.
The implementation centralized a personalization engine and recommendation models to automate item suggestions while preserving manual merchandising controls. Configuration emphasized project-based recommendation logic that could both showcase compatible items based on a shopper s current selections and surface similar products a shopper might not find otherwise. Lionel Devidal, Digital and Ecommerce Director at Leroy Merlin Italy, explained "Through the RichRelevance solutions we were able to automate the recommendations based on two desired outcomes; showcasing compatible items based on what the shopper was purchasing as well as surfacing similar products the shopper may not find otherwise." The RichRelevance Platform was positioned to balance automation with brand control.
Technically the RichRelevance Platform was integrated into the Leroy Merlin ecommerce storefront and product catalog to operate across a large SKU set and multiple merchandise categories. Operational coverage included digital merchandising and ecommerce teams, with the solution feeding personalized recommendations into onsite product pages and project workflows. The architecture emphasized runtime recommendation serving and rule-based merchandising overlays so teams could tune or override automated output when brand or promotional constraints required intervention.
Selection followed analysis and testing of multiple providers, with Leroy Merlin Italia choosing RichRelevance for its sophisticated AI and the mix of automation and control it provided. Governance changes focused on reducing manual merchandising effort while retaining explicit brand oversight through configurable controls, and the deployment scoped to support ecommerce merchandising, digital commerce operations, and customer experience functions across the company s Italy website.
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Retail | 64000 | $18.1B | United Kingdom | RichRelevance | RichRelevance Platform | Customer Experience | 2013 | n/a |
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