List of msg.ai Platform Customers
San Mateo, 94402, CA,
United States
Since 2010, our global team of researchers has been studying msg.ai 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 msg.ai Platform for Chatbots and Conversational AI 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 msg.ai Platform for Chatbots and Conversational AI include: Target, a United States based Retail organisation with 440000 employees and revenues of $106.57 billion, Tommy Hilfiger Europe B.V. (PVH), a Netherlands based Retail organisation with 16000 employees and revenues of $9.20 billion, WestJet Airlines, a Canada based Transportation organisation with 15000 employees and revenues of $2.20 billion and many others.
Contact us if you need a completed and verified list of companies using msg.ai 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 Artificial Intelligence software purchases.
The msg.ai 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 Artificial Intelligence 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
Target | Retail | 440000 | $106.6B | United States | Netomi | msg.ai Platform | Chatbots and Conversational AI | 2017 | n/a |
In 2017, Target implemented the msg.ai Platform from Netomi, adopting a Chatbots and Conversational AI solution for customer conversational workflows. Netomi lists Target as a customer on its website, establishing the vendor relationship for this deployment.
The msg.ai Platform was configured to provide natural language understanding, intent classification, automated response generation, dialog management and multi channel messaging, with human agent escalation pathways for complex cases. Implementation aligned typical conversational AI modules including NLU models, dialog management, knowledge base connectors, rules based automation for routine inquiries and conversation analytics for ongoing monitoring.
Operational scope focused on Target customer service and e commerce touchpoints, integrating with digital support channels and contact center routing to unify conversational handling. Governance responsibilities were organized between customer care and digital operations to manage conversation policies, escalation workflows and quality monitoring for the msg.ai Platform.
|
|
|
Tommy Hilfiger Europe B.V. (PVH) | Retail | 16000 | $9.2B | Netherlands | Netomi | msg.ai Platform | Chatbots and Conversational AI | 2016 | n/a |
In 2016, Tommy Hilfiger Europe B.V. launched the msg.ai Platform as a Chatbots and Conversational AI implementation to power a Facebook Messenger chatbot tied to its Fall 2016 line and the TommyXGigi collection, positioning the project as conversational commerce and customer engagement for a fashion event audience. The msg.ai Platform was deployed specifically on the Facebook Messenger channel to provide scalable, personalized interactions with brand fans during the New York Fashion Week campaign.
The implementation focused on AI driven conversational capabilities, including intent recognition, context management, and automated message sequencing to emulate a concierge style experience. The service, named TMY.GRL, was configured to surface product content, collection information, and engagement prompts relevant to user context, with machine learning used to learn consumer habits and better predict the content users sought.
Integration scope was centered on the Messenger channel, with the chatbot operating as a campaign layer for marketing and commerce functions during the event rollout. Operational coverage emphasized marketing led engagement for fans of the brand and event attendees, aligning messaging and content delivery to the Fall 2016 and TommyXGigi creative assets.
Governance and rollout were campaign oriented, created in partnership with the msg.ai artificial intelligence platform and launched to coincide with the fashion week extravaganza, relying on iterative AI learning to refine conversational flows and content relevance over the event period. The implementation aimed to replicate a concierge style engagement through automated messages and predictive content delivery, leveraging the msg.ai Platform to centralize conversational interactions for the campaign.
|
|
|
WestJet Airlines | Transportation | 15000 | $2.2B | Canada | Netomi | msg.ai Platform | Chatbots and Conversational AI | 2018 | n/a |
In 2018, WestJet Airlines deployed the msg.ai Platform, implementing a Chatbots and Conversational AI capability to extend guest engagement channels. The airline launched Juliet, described as the first ever artificial intelligence powered chatbot from a Canadian airline, making the bot available in English and French through Facebook Messenger and accessible from WestJet's official website.
The msg.ai Platform implementation was configured to support conversational workflows for destination inspiration and discovery, flight booking, and day of travel information, enabling guests to manage multiple aspects of their trip through natural language interactions. Functional elements emphasized multilingual natural language understanding, scripted booking flows and information retrieval for common travel queries, consistent with Chatbots and Conversational AI application patterns.
Operational coverage focused on guest facing digital channels as well as customer service and reservations functions, positioning Juliet as a self service layer for routine booking and travel information tasks. Governance and channel control concentrated on Facebook Messenger and the airline website, and the launch explicitly aimed to offer guests more convenience through automated conversational engagement.
|
Buyer Intent: Companies Evaluating msg.ai Platform
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||