Customer support operations increasingly rely on automation and complex workflow processes to reduce costs and improve experiences. Automation also allows organizations to make their service processes richer, incorporating information and staff from back offices, for example, or embedding conversational tools into contact center processes.
Topics: Customer Experience, embedded analytics, Analytics, Contact Center, natural language processing, AI and Machine Learning, agent management, Customer Experience Management, Field Service, Process Mining, Streaming Analytics, customer service and support
Dialpad provides contact center and business phone services, a market that is in transition due to a convergence of technologies and business conditions.
Topics: Customer Experience, Voice of the Customer, Analytics, Collaboration, Contact Center, natural language processing, agent management, AI & Machine Learning
The pandemic has raised the stakes for self-service in every part of the customer journey. In 2020, the customer service industry underwent a shock to its collective system by pulling up stakes and moving agents to remote work. At the same time, consumers moved away from in-person interactions in stores and branches. This systemic disruption has led to longer call wait times and tougher interactions because collaborating and accessing company data systems from outside the office is difficult.
Topics: Customer Experience, Contact Center, Digital Technology, natural language processing, Conversational Computing, AI and Machine Learning, agent management
