List of Strands Recommender Customers
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Since 2010, our global team of researchers has been studying Strands Recommender 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 Strands Recommender for Personalization and Product Recommendations 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 Strands Recommender for Personalization and Product Recommendations include: Ozon Russia, a Russia based Retail organisation with 49889 employees and revenues of $7.06 billion, Lifestyle International Pvt. Ltd., a India based Retail organisation with 4000 employees and revenues of $1.00 billion, Max Fashion, a India based Retail organisation with 8000 employees and revenues of $421.0 million, Zenni Optical, a United States based Manufacturing organisation with 1250 employees and revenues of $400.0 million, CPAP.com, a United States based Retail organisation with 65 employees and revenues of $35.0 million and many others.
Contact us if you need a completed and verified list of companies using Strands Recommender, 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 software purchases.
The Strands Recommender 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 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 | Insight Source |
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All Pond Solutions | Retail | 50 | $20M | United Kingdom | Strands | Strands Recommender | Personalization and Product Recommendations | 2014 | n/a | In 2014, All Pond Solutions deployed Strands Recommender on its website. The implementation is focused on online product discovery and merchandising, using Strands Recommender to deliver Personalization and Product Recommendations across the e-commerce storefront. Strands Recommender was configured to power on-site recommendation widgets and personalized product feeds, applying standard category-aligned capabilities such as item-to-item recommendations, cross-sell and upsell logic, and rule-based merchandising for catalog personalization. The deployment emphasizes real-time recommendation rendering within product pages, category listings, and homepage modules, and the full application name Strands Recommender is used in site instrumentation and configuration. Operational scope is limited to the All Pond Solutions website serving customers in the United Kingdom, affecting e-commerce, merchandising, and marketing functions. Governance centers on catalog feed management, recommendation rule configuration, and editorial merchandising controls administered through the Strands Recommender console and the site front end. | |
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AllAboutDance.com | Leisure and Hospitality | 10 | $1M | United States | Strands | Strands Recommender | Personalization and Product Recommendations | 2021 | n/a | In 2021, AllAboutDance.com implemented Strands Recommender in the Personalization and Product Recommendations category. The deployment is focused on the public AllAboutDance.com website to deliver on site algorithmic product recommendations and personalized content within product detail pages and browse flows, establishing Strands Recommender as the primary personalization engine for the site. Strands Recommender is configured to run real-time recommendation models, populate recommendation display areas and manage merchandising logic, reflecting capabilities typical of Personalization and Product Recommendations solutions. Configuration and rule management are exercised through the Strands application console, with recommendation rendering handled by embedded client side scripts and page template components. Operational ownership is aligned to the small marketing and operations team at AllAboutDance.com, who manage placement, ranking rules and creative through the Strands interface, and who handle ongoing tuning and catalog alignment. The implementation centers on improving online merchandising and customer experience workflows by centralizing recommendation rules and model configuration within Strands Recommender. | |
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Catholic Company | Retail | 56 | $32M | United States | Strands | Strands Recommender | Personalization and Product Recommendations | 2010 | n/a | In 2010, Catholic Company implemented Strands Recommender on its public website to add personalized product suggestions. The deployment positioned Strands Recommender as the site level personalization layer, aligning the Strands Recommender implementation with the Personalization and Product Recommendations category and the companys e commerce merchandising and marketing functions. The implementation leveraged standard Personalization and Product Recommendations capabilities, including real time recommendation scoring, catalog and behavioral models, product to product affinity recommendations, and configurable onsite recommendation widgets. Strands Recommender was integrated into the customer facing site via client side widgets and server side APIs, consuming the product catalog and user activity signals to generate contextual suggestions. Operational ownership rested with the e commerce and merchandising teams who controlled recommendation strategies and content tagging, while marketing used recommendation placements for cross sell and promotion workflows. Governance focused on rule configuration and widget placement rather than broad platform rationalization, with ongoing tuning and analytics instrumentation used to refine recommendation models on the website. | |
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Retail | 65 | $35M | United States | Strands | Strands Recommender | Personalization and Product Recommendations | 2025 | n/a |
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Retail | 70 | $7M | United States | Strands | Strands Recommender | Personalization and Product Recommendations | 2020 | n/a |
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Distribution | 10 | $1M | United States | Strands | Strands Recommender | Personalization and Product Recommendations | 2010 | n/a |
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Consumer Packaged Goods | 30 | $5M | United States | Strands | Strands Recommender | Personalization and Product Recommendations | 2012 | n/a |
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Retail | 4000 | $1.0B | India | Strands | Strands Recommender | Personalization and Product Recommendations | 2017 | n/a |
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Retail | 8000 | $421M | India | Strands | Strands Recommender | Personalization and Product Recommendations | 2017 | n/a |
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Consumer Packaged Goods | 10 | $1M | United States | Strands | Strands Recommender | Personalization and Product Recommendations | 2016 | n/a |
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Buyer Intent: Companies Evaluating Strands Recommender
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