List of Salesforce Einstein 1 Platform Customers
Salesforce
Salesforce Tower 415 Mission Street, 3rd Floor,
San Francisco, 94105, CA,
United States
San Francisco, 94105, CA,
United States
1 415-901-7000
Professional Services
83334
$41.5B
Since 2010, our global team of researchers has been studying Salesforce Einstein 1 Platform 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 Salesforce Einstein 1 Platform 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 Salesforce Einstein 1 Platform for Artificial Intelligence Marketing include: ENGIE, a France based Utilities organisation with 96454 employees and revenues of $85.78 billion, Ayvens Netherlands, a Netherlands based Automotive organisation with 14500 employees and revenues of $29.05 billion, Air India, a India based Transportation organisation with 30000 employees and revenues of $9.30 billion, Iron Mountain, a United States based Construction and Real Estate organisation with 28850 employees and revenues of $6.15 billion, Shoe Carnival, a United States based Retail organisation with 5800 employees and revenues of $1.22 billion and many others.
Contact us if you need a completed and verified list of companies using Salesforce Einstein 1 Platform, 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 Salesforce Einstein 1 Platform 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!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Air India | Transportation | 30000 | $9.3B | India | Salesforce | Salesforce Einstein 1 Platform | Artificial Intelligence Marketing | 2025 | n/a |
In 2025, Air India implemented Salesforce Einstein 1 Platform to augment customer service operations and surface AI-driven guidance for contact center agents. The deployment is positioned within the Artificial Intelligence Marketing category, leveraging Einstein 1 Service capabilities to automate case handling and improve agent decisioning.
Salesforce Einstein 1 Platform was configured to automatically classify incoming cases and feed omnichannel routing rules that assign work to agents with matching skill sets. The implementation includes AI-powered reply recommendations grounded in the airline knowledge corpus, providing agents with suggested next steps and response text to reduce handling time and improve consistency.
Operational coverage centers on the contact center and agent workflows, with omnichannel routing applied across voice and digital channels and knowledge-driven recommendations embedded into the agent desktop. The platform also incorporates predictive AI use cases, for example surfacing automatic seat upgrade recommendations when a flight delay is detected, and plans to expand this connected experience beyond the call center into inflight and in-airport experiences.
Governance and process changes focused on knowledge curation and routing rule management, aligning agent skill profiles with AI routing outputs and standardizing reply recommendation review processes. As a result customers get help faster because the right agents handle the right cases more quickly, and agents can offer predictive, contextual recommendations that improve the service experience.
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Ayvens Netherlands | Automotive | 14500 | $29.0B | Netherlands | Salesforce | Salesforce Einstein 1 Platform | Artificial Intelligence Marketing | 2016 | n/a |
In 2016 Ayvens Netherlands implemented Salesforce Einstein 1 Platform to introduce Artificial Intelligence Marketing capabilities into its commercial technology stack. Ayvens Netherlands deployed Salesforce Einstein 1 Platform to centralize marketing intelligence and to support marketing and commercial business functions with predictive engagement and personalization.
The rollout followed a phased approach beginning with pilot projects in marketing and expanding to sales and service teams, with an emphasis on standardizing customer and interaction data for AI consumption. Implementation work focused on configuring AI-driven functional modules typical for Artificial Intelligence Marketing, including predictive lead scoring, audience segmentation, automated lead nurturing, journey orchestration, content personalization, and campaign analytics. Integration patterns emphasized connections to existing CRM and marketing automation systems to provide training data and to operationalize AI signals, while governance concentrated on a centralized data model, shared dashboards for commercial performance, and workflow changes to align marketing, sales, and service around AI-driven insights.
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ENGIE | Utilities | 96454 | $85.8B | France | Salesforce | Salesforce Einstein 1 Platform | Artificial Intelligence Marketing | 2023 | n/a |
In 2023, ENGIE deployed Salesforce Einstein 1 Platform to centralize customer intelligence and support a global shift toward greener services, with the implementation framed within an Artificial Intelligence Marketing initiative. The deployment was explicitly aimed at uniting data across sales, service and IT teams to provide a single shared view of every customer from anywhere in the world.
The implementation focused on building consolidated customer profiles and AI driven insights that surface relevant signals to frontline employees, enabling personalized engagement and cross functional orchestration across sales and service workflows. Salesforce Einstein 1 Platform was configured to deliver predictive and prescriptive insights to support tailored zero carbon solutions as a service, aligning marketing automation, customer segmentation and insight delivery with operations and commercial teams.
Integrations emphasized data convergence rather than specific product-to-product migrations, connecting sales, service and IT data sources into a unified customer record that is accessible globally by employees. The platform served as the connective layer to translate disparate customer interactions into an actionable single view, enabling consistent customer context for remote and regional teams.
Governance and rollout centered on standardizing customer data usage and employee experience, with change efforts directed at aligning teams around shared insights and common workflows to improve customer engagements. The initiative supported a new business model by operationalizing information flows and decisioning rules that guided sales and service teams toward offering tailored zero carbon solutions.
As an explicit outcome of the implementation, ENGIE leveraged Einstein 1 to grow customer relationships and to support a business model that delivers tailored zero carbon solutions as a service, while equipping employees with the insights needed to deliver consistent customer experiences.
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Iron Mountain | Construction and Real Estate | 28850 | $6.2B | United States | Salesforce | Salesforce Einstein 1 Platform | Artificial Intelligence Marketing | 2024 | n/a |
In 2024 Iron Mountain implemented Salesforce Einstein 1 Platform to consolidate customer data and embed generative AI directly into service workflows. Iron Mountain is using the Salesforce Einstein 1 Platform within the Artificial Intelligence Marketing category to improve service agent productivity and unify case management into a single 360 degree solution for customer service staff.
The deployment leverages Einstein 1 Service capabilities inside Service Cloud, with generative AI configured to automatically write personalized case replies and Work Summaries that generate closure summaries from case data, conversation and transcript history. Functional modules implemented include AI powered response generation, automated case summarization, and automation routing to reduce manual order steps and minimize agent context switching.
Architecturally the implementation centralizes account, billing and engagement data through MuleSoft, so connected data fuels AI answers and Service Cloud workflows. MuleSoft integrations bring together transactional and engagement datasets to provide agents a holistic customer view, enable automated order processing, and ensure AI outputs reference consolidated customer records in real time.
Governance and process changes focused on embedding AI outputs into standard case handling and handoffs, institutionalizing tools that let agents move from inquiry to closure without separate administrative tasks. Reported outcomes from the deployment include 83% of agents saving time with generative AI assistance, 80% of AI generated responses leading to closed cases, an 8% reduction in repeat calls and a 70% decrease in chat abandonment, reflecting faster case resolution and reduced administrative burden for service teams.
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Shoe Carnival | Retail | 5800 | $1.2B | United States | Salesforce | Salesforce Einstein 1 Platform | Artificial Intelligence Marketing | 2023 | n/a |
In 2023, Shoe Carnival deployed the Salesforce Einstein 1 Platform as an Artificial Intelligence Marketing solution to unify shopper data and operationalize generative AI across commerce and marketing workflows. The implementation centered on embedding Einstein 1 Platform capabilities into Shoe Carnival’s ecommerce and CRM stack to support personalized shopping, merchandising automation, and marketer content generation.
The deployment implemented a range of Einstein capabilities including Einstein Copilot for Shoppers for natural language product discovery, Page Designer for generative site and campaign page creation, Return Insights in Order Management for returns pattern analysis, Inventory Insights for near real-time stock visibility, and Customer and Product Insights dashboards to visualize engagement and bundle trends. On the marketing side Shoe Carnival adopted Global Promotion Management, Referral Marketing, Segment Creation driven by Data Cloud signals, and Content Creation for Marketing Cloud Engagement to accelerate campaign production and segment activation.
Architecturally the solution is anchored on the Salesforce Einstein 1 Platform integrated with Commerce Cloud, Marketing Cloud, and Data Cloud data flows, leveraging the Einstein Trust Layer to connect LLM-driven features with first party customer data for brand voice consistency, data governance, and security. The implementation used near real-time inventory and order management feeds to surface product recommendations and reservation guidance for customer service agents and merchandisers.
Operational scope covered merchandising, ecommerce, marketing, loyalty, and customer service teams, and extended personalization into digital storefronts and messaging channels for both in-store and online journeys. Several features referenced in the Salesforce retail announcement were in mixed availability at announcement time, with components such as Return Insights and Content Creation generally available and other modules operating in pilot, which informed phased rollout planning and feature prioritization for Shoe Carnival.
Governance centered on first party data stewardship and activation workflows, using the Einstein Trust Layer to enforce data consistency and to ground generative outputs in trusted customer signals. Shoe Carnival cited the unified platform as enabling tailored omni-channel experiences across marketing, commerce, service, and loyalty management, while Salesforce retail data and communications highlighted broader industry claims around efficiency improvements and the importance of trusted customer data when implementing generative AI.
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Leisure and Hospitality | 450 | $80M | United States | Salesforce | Salesforce Einstein 1 Platform | Artificial Intelligence Marketing | 2024 | n/a |
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Professional Services | 240 | $43M | United States | Salesforce | Salesforce Einstein 1 Platform | Artificial Intelligence Marketing | 2024 | n/a |
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FAQ - APPS RUN THE WORLD Salesforce Einstein 1 Platform Coverage
Salesforce Einstein 1 Platform is a Artificial Intelligence Marketing solution from Salesforce.
Companies worldwide use Salesforce Einstein 1 Platform, from small firms to large enterprises across 21+ industries.
Organizations such as ENGIE, Ayvens Netherlands, Air India, Iron Mountain and Shoe Carnival are recorded users of
Salesforce Einstein 1 Platform for Artificial Intelligence Marketing.
Companies using Salesforce Einstein 1 Platform are most concentrated in Utilities, Automotive and Transportation, with adoption spanning over 21 industries.
Companies using Salesforce Einstein 1 Platform are most concentrated in France, Netherlands and India, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Salesforce Einstein 1 Platform across Americas, EMEA, and APAC.
Companies using Salesforce Einstein 1 Platform range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 28.57%, large organizations with 1,001-10,000 employees - 14.29%, and global enterprises with 10,000+ employees - 57.14%.
Customers of Salesforce Einstein 1 Platform 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 Salesforce Einstein 1 Platform customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Artificial Intelligence Marketing.