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List of XStak Recommendation Engine Customers

XStak
Location
185-S, Quaid-e-Azam Industrial Estate Kot Lakhpat,
Lahore, 54000,
Pakistan
Website
https://www.xstak.com/
Phone
92 308 777 7996
Artw industry
Professional Services
Employee
60
Revenue
$6M

Since 2010, our global team of researchers has been studying XStak 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 XStak 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 XStak Recommendation Engine for Personalization and Product Recommendations include: Bonanza Satrangi Pakistan, a Pakistan based Retail organisation with 1045 employees and revenues of $50.0 million, Alkaram Studio Pakistan, a Pakistan based Retail organisation with 2000 employees and revenues of $47.0 million, Ak Galleria, a Pakistan based Retail organisation with 30 employees and revenues of $3.0 million and many others.

Contact us if you need a completed and verified list of companies using XStak 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 XStak 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 Old Product New Product Category When SI
Ak Galleria Retail 30 $3M Pakistan XStak Legacy XStak Recommendation Engine Personalization and Product Recommendations 2023 n/a
Alkaram Studio Pakistan Retail 2000 $47M Pakistan XStak Legacy XStak Recommendation Engine Personalization and Product Recommendations 2023 n/a
Bonanza Satrangi Pakistan Retail 1045 $50M Pakistan XStak Legacy XStak Recommendation Engine Personalization and Product Recommendations 2023 n/a
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Buyer Intent: Companies Evaluating XStak Recommendation Engine

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FAQ - APPS RUN THE WORLD XStak Recommendation Engine Coverage

XStak Recommendation Engine is a Personalization and Product Recommendations solution from XStak.

Companies worldwide use XStak Recommendation Engine, from small firms to large enterprises across 21+ industries.

Organizations such as Bonanza Satrangi Pakistan, Alkaram Studio Pakistan and Ak Galleria are recorded users of XStak Recommendation Engine for Personalization and Product Recommendations.

Companies using XStak Recommendation Engine are most concentrated in Retail, with adoption spanning over 21 industries.

Companies using XStak Recommendation Engine are most concentrated in Pakistan, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of XStak Recommendation Engine across Americas, EMEA, and APAC.

Companies using XStak Recommendation Engine range from small businesses with 0-100 employees - 33.33%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 66.67%, and global enterprises with 10,000+ employees - 0%.

Customers of XStak 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 XStak 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.