TECHSEE INTEGRATION with ChatGPT
TechSee’s remote computer vision AI platform, Visual Intelligence, is fully integrated into ChatGPT, enabling Multi-Sensory AI (MSAI) for service automation. This fusion of ChatGPT with visual AI allows service organizations to automatically verbally and visually communicate with customers by seeing, understanding and providing augmented reality overlays over real-world images and videos. This MSAI, powered by TechSee, gives ChatGPT the ability to both request images and videos from the users smartphone and send back images to better guide and answer questions.
The combined power of Techsee’s Visual Intelligence and ChatGPT empowers any enterprise with a turnkey solution that provides your customers with a personalized and context-aware experience, including responses to questions with a high level of accuracy. These interactions and responses with customers instantly become multi-sensory, available as text, synthesized voice, and images using TechSee’s augmented reality-guidance technology.
Doing more with ChatGPT
Both ChatGPT and Visual Intelligence are generative AI platforms, meaning that the accuracy of the solution will increase each time a response is given. With this new offering, companies will be able to train the AI responses using their own service documentation, customer data (e.g. CRM), and visual data collected from live video support sessions run by TechSee. Those companies will also be able to speed up the computer vision AI training process using TechSee’s Visual Intelligence Studio, a no-code visual AI training platform. This comprehensive, cohesive and low-friction approach allows enterprises to rapidly deploy practical AI for an immersive MSAI experience.
Beyond front-end customer service automation, the solution is also available as a back-end integration for Customer Relationship Platforms (CRM) and Field Service Management Platforms (FSM). The software will assist customer service representatives and field service technicians to access the right knowledge and resolve issues with highly accurate error recognition through visual data capture, and then automate knowledge base documentation through integrated generative text AI.