Suppliers United States Dialogflow (Google)
Dialogflow (Google) Logo

Dialogflow (Google)

Conversational User Experience Platform
United States
< $10m
11 - 50
Open website
Dialogflow is a natural language understanding platform that makes it easy to design and integrate a conversational user interface into your mobile app, web application, device, bot, interactive voice response system, and so on. Using Dialogflow, you can provide new and engaging ways for users to interact with your product.
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Dialogflow CX
Dialogflow CX is an advanced development suite for creating conversational AI applications, including chatbots, voicebots, and IVR bots. It includes a visual bot-building platform, collaboration and versioning tools, and advanced IVR feature support, and is optimized for enterprise scale and complexity. Dialogflow CX is cross-platform and can connect to your own apps, existing telephony platforms, and digital platforms. Dialogflow CX users have access to Google Cloud Support and a service level agreement (SLA) for production deployments.
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Motorola, Alpine Electronics, SAIC Motors, CloudCar, SitePoint

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Dialogflow is a provider of Industrial IoT analytics and modeling technologies.
Analytics & Modeling
Natural Language Processing (NLP)
Dialogflow (Google)’s Technology Stack maps Dialogflow (Google)’s participation in the analytics and modeling IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
  • Devices Layer
  • Robots
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
Number of Case Studies3
KLM's Innovative Booking and Packing Bot 'BB' Powered by Dialogflow
KLM Royal Dutch Airlines, a global airline serving over 30 million passengers annually, was facing a challenge in providing a personalized and convenient booking experience for its customers. The average customer flies with KLM 1.4 times per year, and many of these customers do not download the airline’s mobile app to book a flight. KLM wanted to create a new entry point for these customers, one that provided opportunities for conversational interactions using voice or text. The goal was to bring warmth and personality to conversations with their customers, enhancing the overall customer experience.
Ticketmaster Enhances Ticket Buying Experience with Dialogflow
Ticketmaster, the world's leading live-event ticketing company, was seeking ways to provide faster and more personalized services for ticket buyers. They recognized the potential of natural language processing in enhancing customer experience but had little experience in this field. The challenge was to find a technology that was easy to implement, scalable, and provided a good developer experience. They also needed a system that could understand and respond accurately to the names of thousands of different musical artists, a crucial aspect of their business.
Domino’s Enhances Customer Experience with Dialogflow’s Conversational Technology
Domino’s, a global pizza restaurant chain, has been at the forefront of digital innovation, offering customers the ability to order pizzas via 'Dom', an ordering bot available online and through the company’s mobile apps. However, with the changing consumer behavior and the need to innovate, the company faced the challenge of building rich conversational experiences powered by natural language understanding (NLU) and machine learning. The company needed a solution that could scale and accommodate the number of intents needed for a complex ordering process. The challenge was to account for the numerous directions a customer could take when ordering from their extensive menu.
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We've trained AI models for various industry specific use cases. These models are ready to be deployed and used in production. This rapid deployment of AI models in production saves on time & cost, and reduces risk of failure. Browse through available models to learn what kind of business problems they solve and how you can take advantage of them.
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