List of Adobe Sensei Customers
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Since 2010, our global team of researchers has been studying Adobe Sensei 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 Adobe Sensei for Artificial Intelligence Marketing 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 Adobe Sensei for Artificial Intelligence Marketing include: Rite Aid, a United States based Retail organisation with 31000 employees and revenues of $23.00 billion, Sky Group, a Comcast Company, a United Kingdom based Media organisation with 34335 employees and revenues of $18.25 billion, Sky, a United Kingdom based Media organisation with 32000 employees and revenues of $18.13 billion, Swisscom, a Switzerland based Communications organisation with 19887 employees and revenues of $13.74 billion, Dicks Merchandising & Supply Chain, a United States based Distribution organisation with 1800 employees and revenues of $12.98 billion and many others.
Contact us if you need a completed and verified list of companies using Adobe Sensei, 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 Artificial Intelligence software purchases.
The Adobe Sensei 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 Artificial Intelligence 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 | Application | Category | When | SI | Insight |
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Dicks Merchandising & Supply Chain | Distribution | 1800 | $13.0B | United States | Adobe Systems | Adobe Sensei | Artificial Intelligence Marketing | 2021 | n/a |
In 2021, Dicks Merchandising & Supply Chain implemented Adobe Sensei as a Unified AI and ML Platform to centralize real-time personalization and decisioning across its omnichannel footprint. The implementation supports DICK'S Sporting Goods, which reaches more than 150 million athletes through 850 stores and digital channels, with the explicit goal of delivering personalized recommendations both online and in-store.
Adobe Sensei was deployed as the AI layer across the Adobe stack to power recommendations, real-time decisioning, and predictive personalization workflows. The deployment leverages Adobe Sensei alongside Adobe Target for experience optimization, Adobe Campaign for orchestration, Adobe Experience Manager for content delivery, and Adobe Creative Cloud to ensure creative variants map to algorithmic treatment, reflecting a Unified AI and ML Platform approach to customer-facing personalization.
Integration architecture centers on Adobe Real-Time Customer Data Platform as the persistent data layer, with Adobe Customer Journey Analytics and Adobe Analytics providing cross-channel measurement and insight. Adobe Audience Manager is used to build segments that feed Sensei models, while activation flows push personalized experiences to web, mobile app, email, and in-store touchpoints, all governed by customer consent settings and data governance policies. Operational coverage spans eCommerce, analytics, marketing, and store experience teams, with the in-store app and measurement technologies informing model inputs.
Governance and workflow changes included centralizing profile enrichment and campaign orchestration to reduce latency between signal capture and activation, and using Adobe Workfront to coordinate creative and campaign delivery. The faster decisioning enabled by Adobe Sensei reduced response time from hours or a day to seconds for triggering targeted offers and recommendations, and this real-time activation supports the company objective to enhance athlete experiences and help increase the companys sales.
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Epson | Manufacturing | 1500 | $500M | United States | Adobe Systems | Adobe Sensei | Artificial Intelligence Marketing | 2017 | x |
In 2017, Epson implemented Adobe Sensei as a Unified AI and ML Platform to power superior experiences for customers across Epson America. The deployment positioned Adobe Sensei as a centralized AI service layer to embed machine learning into customer-facing digital channels and product imaging workflows, with a clear focus on digital content enrichment and online product discovery.
Adobe Sensei was configured to deliver content intelligence, automated asset tagging, personalization engines, image recognition for product imagery, and predictive analytics aligned to Unified AI and ML Platform capabilities. Integration patterns described include API-driven inference calls from web and mobile applications and batch asset enrichment pipelines, while governance emphasized model version control, standardized metadata taxonomies, and staged rollouts managed by Epson America digital experience and marketing teams to operationalize automated personalization and image-based content optimization.
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Georgia-Pacific | Manufacturing | 30000 | $7.5B | United States | Adobe Systems | Adobe Sensei | Artificial Intelligence Marketing | 2017 | x |
In 2017, Georgia-Pacific implemented Adobe Sensei to augment its creative technology stack. Adobe Sensei was embedded alongside Adobe Creative Cloud and Adobe Stock to support GP PROs in-house creative marketing team and to centralize AI services for asset intelligence and creative automation. The deployment is categorized as Unified AI and ML Platform and was designed to surface machine assisted capabilities directly within authoring and asset ingestion flows. Architecture focused on service level integration between Adobe Sensei inference services and Creative Cloud authoring pipelines, plus Stock asset metadata ingestion.
Configured capabilities emphasized automated metadata enrichment, AI driven asset tagging and search, content aware recommendations and creative assistance features consistent with Adobe Sensei. Operational scope was concentrated on marketing and brand management functions within GP PRO, with integration points into digital asset workflows to improve asset discovery and reuse in campaign production. Governance workstreams established metadata standards, tagging taxonomies and approval checkpoints to operationalize machine generated metadata within creative production. The narrative centers on Adobe Sensei, Unified AI and ML Platform, Georgia-Pacific and its creative marketing function.
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Professional Services | 1400 | $200M | Canada | Adobe Systems | Adobe Sensei | Artificial Intelligence Marketing | 2017 | x |
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Retail | 31000 | $23.0B | United States | Adobe Systems | Adobe Sensei | Artificial Intelligence Marketing | 2018 | n/a |
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Media | 32000 | $18.1B | United Kingdom | Adobe Systems | Adobe Sensei | Artificial Intelligence Marketing | 2017 | n/a |
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Media | 34335 | $18.3B | United Kingdom | Adobe Systems | Adobe Sensei | Artificial Intelligence Marketing | 2016 | n/a |
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Communications | 19887 | $13.7B | Switzerland | Adobe Systems | Adobe Sensei | Artificial Intelligence Marketing | 2017 | x |
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Retail | 6500 | $5.2B | United States | Adobe Systems | Adobe Sensei | Artificial Intelligence Marketing | 2020 | n/a |
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Buyer Intent: Companies Evaluating Adobe Sensei
- Indian Institute Of Management–Bangalore, a India based Education organization with 5000 Employees
- Op2mise.ai, a United Kingdom based Professional Services company with 25 Employees
- De Key, a Netherlands based Construction and Real Estate organization with 200 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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