List of SAP Emarsys AI Stylist Customers
Walldorf, 69190,
Germany
Since 2010, our global team of researchers has been studying SAP Emarsys AI Stylist 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 SAP Emarsys AI Stylist 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 SAP Emarsys AI Stylist for Personalization and Product Recommendations include: Puma, a Germany based Retail organisation with 22214 employees and revenues of $10.49 billion, SportsDirect, a United Kingdom based Retail organisation with 10000 employees and revenues of $4.50 billion, Cue, a Australia based Retail organisation with 93 employees and revenues of $29.0 million and many others.
Contact us if you need a completed and verified list of companies using SAP Emarsys AI Stylist, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Cue | Retail | 93 | $29M | Australia | SAP | SAP Emarsys AI Stylist | Personalization and Product Recommendations | 2021 | n/a |
In 2021, CUE Clothing Co. implemented SAP Emarsys AI Stylist to deliver video-based styling sessions and hybrid in-store and digital customer experiences using Personalization and Product Recommendations capabilities. The deployment targeted the retailer's Australian operations, aligning the SAP Emarsys AI Stylist application with front-line styling workflows and customer engagement across web and store touchpoints.
The implementation configured SAP Emarsys AI Stylist and Emarsys personalization and product-recommendation capabilities to power real-time AI recommendations during guided video styling sessions, personalized product assortments, and tailored CRM-driven outreach. Functional workflows emphasized recommendation orchestration, session-driven product bundling, and personalized messaging consistent with Personalization and Product Recommendations platform patterns.
Operationally the solution was run across e-commerce channels, store-led styling sessions, and CRM communication flows, enabling a hybrid retail and CRM experience. Integrations were focused on synchronizing session-driven recommendations with retail point-of-sale and CRM-managed customer records to maintain consistent personalization across digital and physical interactions.
Governance and rollout involved aligning store associates, e-commerce merchandising, and CRM teams to a common styling-session workflow and recommendation governance, supporting consistent offer and loyalty treatment. The Emarsys case study reports outcomes from this SAP Emarsys AI Stylist implementation including a 5–6x increase in average order value and a 21% increase in loyal customers.
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Puma | Retail | 22214 | $10.5B | Germany | SAP | SAP Emarsys AI Stylist | Personalization and Product Recommendations | 2020 | n/a |
In 2020, Puma implemented SAP Emarsys AI Stylist to scale AI-driven personalization and dynamic product recommendations across its multi-country e-commerce and email programs, operated from Puma’s Bavaria operations. The deployment targeted retail CRM and digital commerce channels to centralize personalization workflows and accelerate product-to-customer matching across markets.
The implementation leveraged the SAP Emarsys AI Stylist personalization engine to deliver image and AI-driven recommendations and to automate email content personalization and audience segmentation. Core capabilities included dynamic product recommendations, behavioral segmentation for email campaigns, and algorithmic content selection to support the Personalization and Product Recommendations use case.
Operationally the solution was integrated into Puma’s multi-country e-commerce platforms and email program infrastructure to unify recommendation logic and campaign delivery across retail and CRM touchpoints. Platform orchestration was managed from the Bavaria hub, creating a single execution point for cross-border personalization rules and recommendation models.
Governance and rollout followed a centralized to multi-country pattern, with staged activation across markets from the Bavaria operations and ongoing tuning of recommendation models and email orchestration. Puma reported outcomes within six months, including approximately five times email revenue, fifty percent database growth, and materially higher email open rates following adoption of SAP Emarsys AI Stylist.
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SportsDirect | Retail | 10000 | $4.5B | United Kingdom | SAP | SAP Emarsys AI Stylist | Personalization and Product Recommendations | 2020 | n/a |
In 2020 SportsDirect implemented SAP Emarsys AI Stylist to power visual based product recommendations and an automated stylist chat across its e commerce channels, supporting its retail ecommerce CRM in the United Kingdom. SportsDirect SAP Emarsys AI Stylist Personalization and Product Recommendations was positioned to deliver one to one personalization for website and email touchpoints.
The SAP Emarsys AI Stylist deployment configured visual recommendation models and an automated stylist chat module, with one to one personalization workflows and content orchestration for email and on site recommendation zones. Implementation work emphasized image based product matching, stylist driven conversational flows, and rule and model based recommendation prioritization to support personalized merchandising.
Operational integration focused on the e commerce channels and the retail CRM stack in the United Kingdom, routing product feed and user interaction signals into SAP Emarsys AI Stylist and returning personalized recommendations and chat driven offers to site and email channels. The scope covered customer segmentation alignment, real time recommendation injection on product and category pages, and automated email personalization for campaign workflows.
Rollout targeted the SportsDirect e commerce footprint in the United Kingdom and was executed to enable incremental personalization capabilities across CRM driven channels. Early reported outcomes included approximately 10% uplift in web traffic and approximately 20% higher email engagement within months, as communicated in project reporting.
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