List of Prediggo Personalization Customers
Lausanne, 1015,
Switzerland
Since 2010, our global team of researchers has been studying Prediggo Personalization 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 Prediggo Personalization 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 Prediggo Personalization for Personalization and Product Recommendations include: Chaussures Eram, a France based Retail organisation with 3475 employees and revenues of $800.0 million, Cultura, a France based Retail organisation with 4500 employees and revenues of $500.0 million, Ponant, a France based Leisure and Hospitality organisation with 1000 employees and revenues of $500.0 million, Un Jour Ailleurs, a France based Retail organisation with 300 employees and revenues of $90.0 million, Bivea, a France based Retail organisation with 15 employees and revenues of $3.0 million and many others.
Contact us if you need a completed and verified list of companies using Prediggo Personalization, 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 Prediggo Personalization 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 | Insight Source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Bivea | Retail | 15 | $3M | France | Prediggo | Prediggo Personalization | Personalization and Product Recommendations | 2015 | n/a | In 2015, Bivea deployed Prediggo Personalization on its website to add on-site product discovery and recommendation capabilities. Prediggo Personalization is used by Bivea under the Personalization and Product Recommendations category to support e-commerce merchandising and personalized product discovery. Implementation centered on embedding Prediggo Personalization into storefront templates and ingesting the product catalog feed, with configuration of recommendation zones, merchandising rules and real-time scoring logic to populate category pages, product detail pages and cross-sell panels. Prediggo Personalization configuration included mapping catalog attributes, tuning algorithm parameters and enabling standard experiment workflows to validate recommendation placements. Operational coverage was limited to the Bivea website and managed by the ecommerce merchandising function, with front-end integration implemented via JavaScript widgets and API-based recommendation calls to render personalized tiles and augmented search results. Governance relied on configuration-driven controls within Prediggo Personalization, staged rollout across site pages and ongoing tuning by the ecommerce owner to maintain relevance and merchandising alignment. | |
 |
Chaussures Eram | Retail | 3475 | $800M | France | Prediggo | Prediggo Personalization | Personalization and Product Recommendations | 2015 | n/a | In 2015, Chaussures Eram implemented Prediggo Personalization on its online storefront. The deployment uses Prediggo Personalization to support targeted on site merchandising and algorithmic product suggestions, consistent with the Personalization and Product Recommendations category. The Prediggo Personalization configuration emphasized algorithmic product recommendations, personalized browse and search ranking, dynamic recommendation widgets, and customer segmentation to present tailored assortments. Implementation work included catalog feed configuration, rules-based merchandising controls, and real-time scoring to adjust recommendations based on user behavior. Integration effort focused on connecting Prediggo Personalization to Eram's website front end, product catalog feeds, and site analytics for event tracking and model tuning. Operational ownership was assigned to ecommerce, merchandising, and marketing teams for day to day rule management and segment definition across the French online business. Rollout included staged onsite experiments with A/B test controls and merchandising governance to manage editorial overrides and business rules. Ongoing governance relied on catalog refresh schedules and centralized merchandising workflows to keep recommendation logic aligned with assortment changes. | |
 |
Cultura | Retail | 4500 | $500M | France | Prediggo | Prediggo Personalization | Personalization and Product Recommendations | 2015 | n/a | In 2015, Cultura deployed Prediggo Personalization on its e-commerce site to provide Personalization and Product Recommendations for online merchandising and product discovery. Cultura is a French retail chain with a significant online storefront, and the Prediggo Personalization implementation was focused on enhancing product recommendations and shopper navigation on cultura.com. The Prediggo Personalization deployment implemented core category capabilities including a recommendation engine for cross-sell and upsell, catalog-driven recommendations, behaviorally informed personalization, and real-time adjustment of homepage and category placements. Configuration centered on rule-based merchandising controls and model-driven suggestion lists, with support for campaign-level segmentation and iterative tuning typical of Personalization and Product Recommendations solutions. Architecturally the solution was embedded in the public website as a personalization layer, delivering recommendation widgets and personalized content fragments to the storefront in real time. The implementation scope was explicitly the online retail site, operating across Cultura’s French e-commerce pages and aligning with product discovery and checkout touchpoints. Operational governance emphasized business user control of merchandising rules and iterative model calibration, enabling category managers and e-commerce teams to adjust recommendation strategies without code changes. Prediggo Personalization served as the centrally managed personalization engine for Cultura’s online product discovery workflows, supporting merchandising, marketing, and customer experience functions. | |
 |
|
Leisure and Hospitality | 1000 | $500M | France | Prediggo | Prediggo Personalization | Personalization and Product Recommendations | 2016 | n/a |
|
|
|
|
|
Retail | 300 | $90M | France | Prediggo | Prediggo Personalization | Personalization and Product Recommendations | 2015 | n/a |
|
|
Buyer Intent: Companies Evaluating Prediggo Personalization
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||