List of Enterprise AI Customers
Palo Alto, 94304, CA,
United States
Since 2010, our global team of researchers has been studying Enterprise AI 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 Enterprise AI for ML and Data Science Platforms 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 Enterprise AI for ML and Data Science Platforms include: Marks & Spencer_x000D_, a United Kingdom based Retail organisation with 64000 employees and revenues of $18.10 billion, The Save Mart Companies, a United States based Retail organisation with 12000 employees and revenues of $4.60 billion, Coca-Cola Europacific Partners Netherlands, a Netherlands based Consumer Packaged Goods organisation with 800 employees and revenues of $850.0 million and many others.
Contact us if you need a completed and verified list of companies using Enterprise AI, 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 Enterprise AI 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Coca-Cola Europacific Partners Netherlands | Consumer Packaged Goods | 800 | $850M | Netherlands | SymphonyAI | Enterprise AI | ML and Data Science Platforms | 2023 | n/a |
In 2023 Coca-Cola Europacific Partners Netherlands deployed SymphonyAI Retail CPG Assortment as an Enterprise AI initiative. The Enterprise AI deployment leveraged ML and Data Science Platforms capabilities to execute demand based planning and assortment optimization focused on merchandising and supply planning processes in the Netherlands.
The implementation centered on SymphonyAI’s AI driven assortment and optimization capabilities, configured to generate demand forecasts and optimized assortment recommendations to support SKU level merchandising decisions. Configuration work included demand forecasting models, constraint aware optimization logic and assortment execution workflows to align merchandising plans with supply planning windows and SKU hierarchies.
Operational scope covered merchandising, demand planning and supply planning teams within the Netherlands organization, with the engagement targeting the embedding of algorithmic recommendations into existing planning cadence and assortment governance. The engagement explicitly targeted improved demand based planning and assortment execution through SymphonyAI Retail CPG Assortment, positioning the Enterprise AI deployment to operationalize advanced ML and Data Science Platforms capabilities for merchandising and supply planning.
|
 |
Marks & Spencer_x000D_ | Retail | 64000 | $18.1B | United Kingdom | SymphonyAI | Enterprise AI | ML and Data Science Platforms | 2023 | n/a |
In 2023, Marks & Spencer implemented Enterprise AI using SymphonyAI Retail CPG Store Intelligence to improve planogram compliance and on shelf availability across more than 500 UK stores. This deployment is categorized under ML and Data Science Platforms and targets store operations and customer experience functions. The initiative focuses on operationalizing computer vision and AI within front line retail execution.
The implementation centralized handheld image comparison to store specific planograms, delivering automated image capture, planogram matching, exception detection and task prioritization capabilities. Enterprise AI was configured to convert image exceptions into prioritized shelf tasks that store teams receive on handheld devices, improving in store execution workflows. These modules align with typical ML and Data Science Platforms functionality for image analytics, model scoring and operational orchestration.
Operational coverage included more than 500 UK stores and focused on store operations teams and merchandising processes, with governance set around store specific planogram configurations and exception handling rules. Rollout emphasized handheld guided execution to prioritize shelf tasks and maintain on shelf availability. The deployment specifically aims to improve planogram compliance and on shelf availability.
|
 |
The Save Mart Companies | Retail | 12000 | $4.6B | United States | SymphonyAI | Enterprise AI | ML and Data Science Platforms | 2023 | n/a |
In 2023 The Save Mart Companies implemented SymphonyAI Enterprise AI, positioned within the ML and Data Science Platforms category, to modernize category management and store-level assortment across its US retail region. The deployment targeted merchandising and category teams and aimed to operationalize shopper analytics and CPG collaboration through a unified Enterprise AI platform.
The implementation leveraged SymphonyAI Retail/CPG solutions, including CINDE Insights, personalization, promotions, shelf planning and assortment optimization modules. These components were configured to provide real-time shopper insights, drive store-level assortment recommendations, support promotional optimization workflows and surface personalized merchandising signals to category managers.
Operational coverage centered on category management, merchandising planners and store operations across the United States, with outputs shared with CPG vendors to deepen collaboration on assortment and promotional projects. The solution centralized shopper analytics for project teams and created structured deliverables for vendor engagement and assortment decisioning without specifying third party system integrations.
Governance was organized around project-level vendor collaboration and analytics delivery, aligning workflows between category teams and CPG partners. Reported outcomes are vendor claimed, including incremental sales per category or project in the $500K to $1M range, and an expansion of vendor engagement across additional projects.
|
Buyer Intent: Companies Evaluating Enterprise AI
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||