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Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

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Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

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Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

List of QuarticOn Recommendation Engine Customers

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Logo Customer Industry Empl. Revenue Country Vendor Old Product New Product Category When SI
Black Red White Poland Manufacturing 2700 $422M Poland QuarticOn Legacy QuarticOn Recommendation Engine Personalization and Product Recommendations 2017 n/a
Hotel Bania Poland Leisure and Hospitality 300 $45M Poland QuarticOn Legacy QuarticOn Recommendation Engine Personalization and Product Recommendations 2015 n/a
Quiosque Poland Retail 90 $15M Poland QuarticOn Legacy QuarticOn Recommendation Engine Personalization and Product Recommendations 2015 n/a
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Buyer Intent: Companies Evaluating QuarticOn Recommendation Engine

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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 Black Red White Poland, Hotel Bania Poland and Quiosque Poland are recorded users of QuarticOn Recommendation Engine for Personalization and Product Recommendations.

Companies using QuarticOn Recommendation Engine are most concentrated in Manufacturing, Leisure and Hospitality and Retail, 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 - 33.33%, to mid-sized firms with 101-1,000 employees - 33.33%, large organizations with 1,001-10,000 employees - 33.33%, 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.