Customer Service
Use Cases
Accelerate identity verification for new and existing customers
Accelerate identity verification (e.g. photos, biometric reading) for new and existing customers. This enables offering of enhanced services and greater security.
Analyse Customer Experience Survey Data for Actionable Insights
Analyse and understand customer sentiment displayed through direct customer contact
Using voice and text analysis to uncover overall customer sentiment - negative or positive - sometimes in real-time as displayed when they contact the company; for example through the contact centre.
Analyse call content post-call
Advanced analytics on call data to uncover insights to improve customer satisfaction and increase effectiveness
Analyse how customers interact with deployed chatbot
Analyse how customers are interacting with a deployed chatbot - typically this will generate performance metrics but also customer, service and business insights.
Authenticate individual identification through voice recognition
Authenticate customers without passwords leveraging biometry to improve customer satisfaction, reduce wait times and speed up service access, leading to lower drop rates. Key impact should be to lower fraud risk.
Automate AI Customer Service to Achieve 500%+ ROI
Automate Airline Travel Disruption Rebooking Without Human Agents
Automate customer service conversations through a text chatbot
Automate customer service text conversations through a chatbot enabling high volume, fast reaction customer support. Unexpected questions will likely ''break'' the chatbot system so consumers need to be clear that they are interacting with a machine.
Automate customer service voice conversations with conversational agent
Automate customer service voice conversations through a conversational agent chatbot enabling high volume, fast reaction customer support. Unexpected questions will likely ''break'' the chatbot system so consumers need to be clear that they are interacting with a machine.
Automate response to customer engagement on social media such as customer complaints
Leverage Natural Language Processing and machine vision to build approach to automatic responses to customer requests that come through social media channels.
Automate routine technical support activities like password reset
Ensure that high-volume, low value-add end-user issues are handled with the support of AI for voice recognition / security purposes.