List of Poloriz Customers
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Since 2010, our global team of researchers has been studying Poloriz 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 Poloriz 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 Poloriz for Personalization and Product Recommendations include: Scalpers, a Spain based Retail organisation with 782 employees and revenues of $56.0 million, Karma and Luck, a United States based Retail organisation with 100 employees and revenues of $11.0 million, Glassworks London, a United Kingdom based Retail organisation with 28 employees and revenues of $5.0 million, Spongelle, a United States based Consumer Packaged Goods organisation with 30 employees and revenues of $3.0 million, Parque Humano, a Mexico based Professional Services organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Poloriz, 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 Poloriz 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 |
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Glassworks London | Retail | 28 | $5M | United Kingdom | Poloriz | Poloriz | Personalization and Product Recommendations | 2021 | n/a |
In 2021, Glassworks London implemented Poloriz on their website. The deployment of Poloriz, a Personalization and Product Recommendations application, was configured to deliver on-site product recommendations and personalized browsing experiences across the retailer’s e-commerce storefront. The implementation targeted product listing pages and product detail pages, using Poloriz’s recommendation engine and administrative console to manage personalization rules and model configuration for a small retail operation based in the United Kingdom.
Functional implementation focused on catalog synchronization, recommendation algorithm configuration, session and event tracking for behavioral personalization, and front-end widgets to surface cross-sell and upsell offers. Operational coverage centered on online merchandising and marketing, with merchandisers using the Poloriz admin interface to adjust recommendation logic and marketing teams leveraging personalization controls to tailor promotional content. Governance emphasized configuration-led control and iterative rollout across product pages, with ongoing tuning of personalization rules to align with merchandising workflows and site experience objectives.
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Karma and Luck | Retail | 100 | $11M | United States | Poloriz | Poloriz | Personalization and Product Recommendations | 2021 | n/a |
In 2021, Karma and Luck implemented Poloriz to deliver on-site personalization and product recommendations. Karma and Luck implemented Poloriz for Personalization and Product Recommendations to support customer facing product discovery and merchandising on their retail website.
The implementation centers on Poloriz core capabilities for algorithmic recommendations and rule based personalization, with configuration through the Poloriz administration interface. Implemented modules include recommendation widgets for product detail and category pages, merchandising controls for curated slots, and personalization rules for visitor segmentation and product ranking.
Integration work focused on the website level, instrumenting Poloriz through client side embedding and catalog synchronization to surface browsing and purchase signals, and leveraging Poloriz APIs for real time recommendation calls. Operational ownership spans e commerce, merchandising, and marketing teams, who feed product catalog data and user event streams into the Poloriz instance and use its UI to tune recommendation behavior.
Governance emphasized centralized control of recommendation rules and a QA workflow for changes to personalization logic, with ongoing tuning handled by the merchandising team through the Poloriz console. The narrative maps Karma and Luck Poloriz Personalization and Product Recommendations to business functions of product merchandising, onsite conversion optimization, and customer experience management.
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Parque Humano | Professional Services | 10 | $1M | Mexico | Poloriz | Poloriz | Personalization and Product Recommendations | 2020 | n/a |
In 2020, Parque Humano deployed Poloriz to deliver Personalization and Product Recommendations on its public website. The implementation focused on customer facing content personalization and recommendation flows for this Mexico based professional services firm with 10 employees, embedding Poloriz directly into site templates to surface contextually relevant items. Poloriz was configured to operate as a web integration that serves recommendation widgets and personalization scripts inside page rendering logic.
The implementation emphasized category standard capabilities including user profiling, session aware recommendations, content tagging and rule based fallback, with Poloriz managing personalization rules and model scores. Operational coverage centered on the website and client engagement touchpoints, with content editors and marketing stakeholders owning rule configuration and iterative tuning of recommendation placements. Governance was organized for small team management, with staged activation across content pages and editorial controls to adjust recommendation logic without code changes.
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Retail | 782 | $56M | Spain | Poloriz | Poloriz | Personalization and Product Recommendations | 2021 | n/a |
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Distribution | 10 | $1M | United States | Poloriz | Poloriz | Personalization and Product Recommendations | 2022 | n/a |
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Consumer Packaged Goods | 30 | $3M | United States | Poloriz | Poloriz | Personalization and Product Recommendations | 2022 | n/a |
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Buyer Intent: Companies Evaluating Poloriz
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