List of QuarticOn Recommendation Engine Customers
QuarticOn
ul. Grzybowska 80/82,
Warsaw, 00-844,
Poland
Warsaw, 00-844,
Poland
48 22 844 02 51
Professional Services
20
$2M
Since 2010, our global team of researchers has been studying QuarticOn Recommendation Engine 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 QuarticOn Recommendation Engine 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 QuarticOn Recommendation Engine for Personalization and Product Recommendations include: Agata Poland, a Poland based Retail organisation with 1200 employees and revenues of $641.0 million, Player Poland, a Poland based Media organisation with 1600 employees and revenues of $531.0 million, Black Red White Poland, a Poland based Manufacturing organisation with 2700 employees and revenues of $422.0 million, Apart Poland, a Poland based Retail organisation with 3000 employees and revenues of $300.0 million, Martes Sport Poland, a Poland based Retail organisation with 2500 employees and revenues of $160.0 million and many others.
Contact us if you need a completed and verified list of companies using QuarticOn Recommendation Engine, 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 QuarticOn Recommendation Engine 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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Agata Poland | Retail | 1200 | $641M | Poland | QuarticOn | QuarticOn Recommendation Engine | Personalization and Product Recommendations | 2017 | n/a |
In 2017, Agata Poland deployed the QuarticOn Recommendation Engine on its public e-commerce website. The QuarticOn Recommendation Engine, implemented for Personalization and Product Recommendations, was used to surface contextually relevant products and support online merchandising and product discovery for Agata Poland.
The implementation focused on core product recommendation capabilities typical of the Personalization and Product Recommendations category, including on-site recommendation widgets, catalog feed ingestion, behavioral profiling, and real-time inference for session-based and cohort-based recommendations. Configuration work included mapping the Agata product catalog, defining category and cross-sell rules, and tuning algorithm parameters to align recommendation outputs with merchandising objectives.
Technical integration centered on synchronizing the product catalog and session context between the website storefront and the QuarticOn recommendation layer, using site instrumentation and product feed updates to preserve catalog accuracy. Operational ownership was assigned to the e-commerce and online merchandising teams at Agata Poland, who maintained business rules, catalog mappings, and ongoing model tuning to align recommendations with product lifecycle and merchandising workflows.
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Apart Poland | Retail | 3000 | $300M | Poland | QuarticOn | QuarticOn Recommendation Engine | Personalization and Product Recommendations | 2015 | n/a |
In 2015, Apart Poland deployed the QuarticOn Recommendation Engine on its public e-commerce site. The QuarticOn Recommendation Engine was configured to deliver Personalization and Product Recommendations across product detail pages, category listings, search result pages, and checkout adjacencies to support onsite product discovery and merchandising workflows. The implementation emphasized runtime recommendation scoring and storefront embedding to surface related products, cross-sell suggestions, and curated lists within the shopping journey.
Deployment architecture was implemented as a site-embedded recommendation layer that served recommendation payloads to the storefront UI and commerce flows, with runtime decisioning performed by the QuarticOn Recommendation Engine. Operational scope covered online sales, e-commerce merchandising, and digital marketing teams who governed recommendation rules, creative variants, and catalog feed configuration. Functional capabilities implemented align with typical Personalization and Product Recommendations platforms, including collaborative and content-based recommendation patterns, category-aware ranking, and merchandising rule overrides to influence on-site product exposure.
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Black Red White Poland | Manufacturing | 2700 | $422M | Poland | QuarticOn | QuarticOn Recommendation Engine | Personalization and Product Recommendations | 2017 | n/a |
In 2017, Black Red White Poland deployed QuarticOn Recommendation Engine for Personalization and Product Recommendations on its customer-facing website brw.pl. The QuarticOn Recommendation Engine was embedded into the public storefront to deliver product recommendations and personalized product ranking across browse pages and product detail pages. The deployment was implemented at the site level, ingesting catalog feeds and on-site interaction events to enable real-time recommendation scoring and delivery.
Configuration emphasized category-aligned modules including session based recommendations, cross sell and upsell recommendation blocks, and algorithmic product sorting tailored to catalog structure and user behavior. Operational control was centralized with ecommerce and merchandising functions, using rule configuration and A/B testing to govern personalization rules and staged rollouts. The implementation relied on the QuarticOn Recommendation Engine for runtime scoring and widget rendering within the website presentation layer, with analytics instrumentation of page events to support iterative model tuning.
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British Corner Shop United Kingdom | Retail | 20 | $15M | United Kingdom | QuarticOn | QuarticOn Recommendation Engine | Personalization and Product Recommendations | 2019 | n/a |
In 2019, British Corner Shop United Kingdom implemented the QuarticOn Recommendation Engine on its public e-commerce site. The deployment targets on-site personalization and automated product recommendations, aligning the QuarticOn Recommendation Engine with the Personalization and Product Recommendations category. The implementation supports merchandising and customer-facing search result personalization to improve product discovery.
The QuarticOn Recommendation Engine was configured to deliver session aware product recommendations, category and basket cross-sell suggestions, and complementary item feeds. Configuration focused on real time scoring and rules driven merchandising to surface relevant SKUs during browsing and at checkout. The implementation relies on catalog feeds and behavioral event streams to drive model scoring and ranking.
Operational ownership is assigned to e-commerce merchandising and site operations, who tune recommendation rules and business logic through the engine console, while marketing manages promotional recommendation placements. The system is embedded in the site front end to serve contextual recommendations across product pages and the cart workflow. Governance includes ongoing model tuning and feed management to maintain product synchronization and recommendation relevance.
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Esotiq & Henderson Poland | Retail | 153 | $75M | Poland | QuarticOn | QuarticOn Recommendation Engine | Personalization and Product Recommendations | 2016 | n/a |
In 2016, Esotiq & Henderson Poland implemented the QuarticOn Recommendation Engine on their website. The QuarticOn Recommendation Engine was configured to provide Personalization and Product Recommendations across the ecommerce storefront, delivering algorithmic product suggestions, session-aware personalization, and configurable merchandising logic to influence onsite product ranking.
The implementation emphasized standard personalization modules including collaborative and content-based recommendation strategies, real-time session scoring, and rule-driven promotion placement, with client-facing recommendation widgets embedded into product and category pages. Operational coverage was the public ecommerce site, with governance focused on merchandising rules, testing and tuning cycles, and workflows that aligned online merchandising and digital marketing teams to the recommendation outputs.
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Consumer Packaged Goods | 120 | $30M | Poland | QuarticOn | QuarticOn Recommendation Engine | Personalization and Product Recommendations | 2021 | n/a |
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Retail | 220 | $42M | Czech Republic | QuarticOn | QuarticOn Recommendation Engine | Personalization and Product Recommendations | 2017 | n/a |
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Leisure and Hospitality | 300 | $45M | Poland | QuarticOn | QuarticOn Recommendation Engine | Personalization and Product Recommendations | 2015 | n/a |
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Retail | 2500 | $160M | Poland | QuarticOn | QuarticOn Recommendation Engine | Personalization and Product Recommendations | 2022 | n/a |
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Media | 1600 | $531M | Poland | QuarticOn | QuarticOn Recommendation Engine | Personalization and Product Recommendations | 2017 | n/a |
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Buyer Intent: Companies Evaluating QuarticOn Recommendation Engine
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| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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FAQ - APPS RUN THE WORLD QuarticOn Recommendation Engine Coverage
QuarticOn Recommendation Engine is a Personalization and Product Recommendations solution from QuarticOn.
Companies worldwide use QuarticOn Recommendation Engine, from small firms to large enterprises across 21+ industries.
Organizations such as Agata Poland, Player Poland, Black Red White Poland, Apart Poland and Martes Sport Poland are recorded users of
QuarticOn Recommendation Engine for Personalization and Product Recommendations.
Companies using QuarticOn Recommendation Engine are most concentrated in Retail, Media and Manufacturing, with adoption spanning over 21 industries.
Companies using QuarticOn Recommendation Engine are most concentrated in Poland, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of QuarticOn Recommendation Engine across Americas, EMEA, and APAC.
Companies using QuarticOn Recommendation Engine range from small businesses with 0-100 employees - 16.67%, to mid-sized firms with 101-1,000 employees - 41.67%, large organizations with 1,001-10,000 employees - 41.67%, and global enterprises with 10,000+ employees - 0%.
Customers of QuarticOn Recommendation Engine 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 QuarticOn Recommendation Engine 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.