List of Recombee Customers
Recombee
Vodickova 12/5,
Praha, 120 00,
Czech Republic
Praha, 120 00,
Czech Republic
420 604 499 078
Professional Services
50
$5M
Since 2010, our global team of researchers has been studying Recombee 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 Recombee 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 Recombee for Personalization and Product Recommendations include: HomeTiger, a Germany based Retail organisation with 180 employees and revenues of $56.0 million, Commercial Real Estate Exchange, a United States based Construction and Real Estate organisation with 300 employees and revenues of $50.0 million, Alensa, a Czech Republic based Retail organisation with 100 employees and revenues of $41.0 million, Gasparik, a Slovakia based Consumer Packaged Goods organisation with 300 employees and revenues of $40.0 million, Goldbelly, a United States based Professional Services organisation with 130 employees and revenues of $20.0 million and many others.
Contact us if you need a completed and verified list of companies using Recombee, 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 Recombee 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!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Alensa | Retail | 100 | $41M | Czech Republic | Recombee | Recombee | Personalization and Product Recommendations | 2024 | n/a |
Alensa implemented Recombee in 2024 to provide Personalization and Product Recommendations across its e-commerce website. The deployment uses Recombee as the recommendation engine to deliver personalized product ranking, product-to-product suggestions, and session-based recommendations embedded into product pages and category landing pages. This configuration connects Recombee to Alensa's product catalog and website event stream to operationalize tailored merchandising and marketing experiences.
Configuration included mapping catalog attributes, configuring recommendation models, and instrumenting client-side and server-side event tracking so real-time behavioral signals feed Recombee. Operational ownership is with e-commerce merchandising and marketing teams, and the rollout followed a phased deployment with governance focused on data quality, model configuration, and widget placement. Integrations are limited to the website implementation as specified, and no additional system integrations are recorded.
|
 |
Commercial Real Estate Exchange | Construction and Real Estate | 300 | $50M | United States | Recombee | Recombee | Personalization and Product Recommendations | 2024 | n/a |
In 2024 Commercial Real Estate Exchange implemented Recombee on its website to provide site level personalization using Recombee as the Personalization and Product Recommendations engine. The deployment surfaces real time, session aware recommendations by ingesting property listing metadata, user events, and clickstream data and exposing recommendations through API calls and client side instrumentation on the public site.
Configuration emphasized catalog ingestion pipelines, event schema mapping, recommendation model configuration, rule based ranking and business filters, and telemetry for ongoing model monitoring. Operational ownership aligns product and marketing for recommendation rules and catalog curation while engineering maintains API integration and feed automation, and governance includes configuration versioning and controlled rollout of recommendation rules on the website.
|
 |
Discount Dance | Retail | 70 | $7M | United States | Recombee | Recombee | Personalization and Product Recommendations | 2022 | n/a |
In 2022, Discount Dance implemented Recombee on its website to deliver product-level personalization and product recommendations. The deployment uses Recombee as the application for Personalization and Product Recommendations, applied to the company storefront to improve on-site product discovery and merchandising workflows.
The Recombee implementation configured core recommendation engine capabilities, including catalog ingestion, real-time behavioral recommendations, and configurable recommendation widgets for product detail pages, category listings, and the shopping cart. Configuration emphasized catalog synchronization and event-driven feeds for page views and add-to-cart signals, aligning with standard Personalization and Product Recommendations functional workflows.
Integration work focused on embedding Recombee into the e-commerce front end and synchronizing the site product catalog and customer interaction events. Operational ownership resides with Discount Dance e-commerce and merchandising teams, who manage feed cadence, model parameters, and recommendation rules through the Recombee console and site feed processes.
|
 |
Gasparik | Consumer Packaged Goods | 300 | $40M | Slovakia | Recombee | Recombee | Personalization and Product Recommendations | 2024 | n/a |
In 2024, Gasparik deployed Recombee on its public e-commerce site, implementing Recombee as the Personalization and Product Recommendations engine for online product discovery. The implementation is focused on delivering site-level personalization to support e-commerce merchandising and marketing business functions.
Configuration and functional modules include catalog ingestion and event tracking for clicks and purchases, real-time recommendation scoring, and use of product-to-product and session-based recommendation models. Recombee is driving cross-sell and upsell recommendations, personalized product listing modules, and search re-ranking consistent with standard Personalization and Product Recommendations platform capabilities.
Technically the Recombee instance is embedded in the storefront via web integration and consumes the product catalog feed to render dynamic recommendation widgets and personalized lists. Operational coverage is concentrated on the Slovakia-facing website and impacts online merchandising, e-commerce operations, and marketing teams.
Governance and operational ownership are exercised through catalog and event feed management by the product and web teams, with iterative configuration of recommendation rules and model selection to align with merchandising priorities. The implementation represents an application-level personalization deployment of Recombee without named external system integrations disclosed in the source.
|
 |
Goldbelly | Professional Services | 130 | $20M | United States | Recombee | Recombee | Personalization and Product Recommendations | 2024 | n/a |
In 2024 Goldbelly deployed Recombee on its public website to provide Personalization and Product Recommendations for customer-facing product discovery and on-site merchandising. Goldbelly Recombee Personalization and Product Recommendations supports the e-commerce storefront business function, aligning recommendation logic with merchandising and product discovery goals.
The implementation centers on Recombee's recommendation engine and rule-based personalization capabilities, configured to surface contextually relevant products and to support ranking and merchandising rules. Configuration work emphasized recommendation types such as session-based and item-to-item suggestions, catalog-driven recommendation feeds, and administrative controls for tuning algorithms and business rules.
Integration is implemented at the web storefront layer, ingesting product catalog and user interaction events to drive real-time recommendations, and exposing recommendations via API and front-end widgets for rendering on product detail and listing pages. Operational scope covers Goldbelly's website audience within the United States and the platform is managed by e-commerce, merchandising, and product teams to maintain recommendation logic and content alignment.
Governance includes centralized control of recommendation rules through the Recombee console, standard workflows for updating catalog feeds and testing new recommendation variants, and cross-functional oversight by merchandising and product owners. The narrative focuses on structure and operational ownership of Recombee within Goldbelly rather than quantified outcomes.
|
 |
|
Retail | 180 | $56M | Germany | Recombee | Recombee | Personalization and Product Recommendations | 2024 | n/a |
|
|
|
|
Retail | 25 | $5M | Czech Republic | Recombee | Recombee | Personalization and Product Recommendations | 2024 | n/a |
|
|
|
|
Professional Services | 100 | $15M | Australia | Recombee | Recombee | Personalization and Product Recommendations | 2024 | n/a |
|
|
|
|
Professional Services | 20 | $2M | Australia | Recombee | Recombee | Personalization and Product Recommendations | 2024 | n/a |
|
|
|
|
Retail | 50 | $5M | Czech Republic | Recombee | Recombee | Personalization and Product Recommendations | 2024 | n/a |
|
Showing 1 to 10 of 13 entries
Buyer Intent: Companies Evaluating Recombee
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Recombee. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Recombee for Personalization and Product Recommendations include:
- Fidea Corporate Finance Poland, a Poland based Banking and Financial Services organization with 15 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
|---|---|---|---|---|---|---|
 |
Fidea Corporate Finance Poland | Banking and Financial Services | 15 | $5M | Poland | 2025-10-29 |
FAQ - APPS RUN THE WORLD Recombee Coverage
Recombee is a Personalization and Product Recommendations solution from Recombee.
Companies worldwide use Recombee, from small firms to large enterprises across 21+ industries.
Organizations such as HomeTiger, Commercial Real Estate Exchange, Alensa, Gasparik and Goldbelly are recorded users of
Recombee for Personalization and Product Recommendations.
Companies using Recombee are most concentrated in Retail, Construction and Real Estate and Consumer Packaged Goods, with adoption spanning over 21 industries.
Companies using Recombee are most concentrated in Germany, United States and Czech Republic, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Recombee across Americas, EMEA, and APAC.
Companies using Recombee range from small businesses with 0-100 employees - 69.23%, to mid-sized firms with 101-1,000 employees - 30.77%, large organizations with 1,001-10,000 employees - 0%, and global enterprises with 10,000+ employees - 0%.
Customers of Recombee 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 Recombee 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.