New generation of consumers look to engage and resolve issues in real-time, 24/7. Businesses have no other choice but to transform their customer and employee experiences to be omnichannel, intelligent, personalised, that too, at scale.

Customer Experience Automation let businesses to build the toolset that makes the most sense for their model, then orchestrate personalized experiences across.

Natural Learning Processing (NLP) Engine forms the core component that interprets what users say at any given time and converts that language to structured inputs the system can process.

Businesses can deliver on-demand fulfilment by blending AI and human intelligence Thus business-to-consumer interactions of every enterprise across the world, can be made intuitive, personal, and real-time. As AI offloads simple, repetitive, monotonous tasks from customer service agents — letting them concentrate on complex questions or allowing them to better connect with the customer.

The hybrid Agent + AI model, the next natural progression is towards bot-initiated conversations. The scope of these messages includes promotions, campaigns, back-in-stock notifications, abandoned cart reminders, etc., to proactively reach customers.

With the advent of DIY no-coding bots, it is rapidly becoming an option for small startups and individuals to try their hand at building bots with basic functionalities.

Blending AI with human agents allows enterprises improves customer service that leads to more customer satisfaction, agent satisfaction, agent productivity and increased customer retention.

These customer experience automation platforms can find application in sectors such as BFSI, Retail & Ecommerce, Telecom, Education etc.