Overcoming the Challenges of Medical Device Support
Medical equipment manufacturers are discovering the need to enact faster, more accurate and more effortless medical device support systems.
AI in Customer Service
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4 Reasons why your Customer Service Needs to be a Profit Generator
Customer service has traditionally been a cost center. However, new ideas show that customer service can generate a profit. How, and why now?
7 Steps to Deploying AI-powered Self-service during the New Normal
Use these steps to get started with self-service AI in the New Normal and benefit from better safety, CX, loyalty & competitive advantage.
The Central Role of Computer Vision in Multiexperience
Discover how technologies such as remote Visual Assistance and Computer Vision are integral to delivering multiexperience for customers.
Automated Field Service Scheduling: The Power of Computer Vision AI
Computer Vision AI is enhancing automated field service scheduling by leveraging work histories to assign jobs to the best qualified staff.
The Central Role of AI in Multiexperience CX
Multiexperience is the new model for intelligent customer-centricity - read up on the AI technologies at the core of it.
Computer Vision in Field Service: Empowering and Enabling Technicians
Computer Vision in field service addresses the challenges of an aging workforce, a widening knowledge gap and demand for better CX.
TechSee recognized in Gartner Cool Vendors in CRM Customer Service and Support 2020 report for its significant advances in Computer Vision AI for customer service
Find out what Gartner has to say about TechSee's advances in Computer Vision AI in its latest report, two years after naming us as a Cool Vendor.
The Artificial Intelligence Field Service Revolution
Discover how Artificial Intelligence is transforming the field service industry with improved scheduling, knowledge base retrieval & visual analysis
How to Resolve the Privacy Paradox and Achieve Customer Personalization
How can we individualize service without invading privacy? Learn more about striking the balance between customer personalization and trust
