EXCEPTIONAL CUSTOMER EXPERIENCE WITH AI-POWERED SOLUTIONS

Companies have adopted an omnichannel strategy to interact with customers on the channel of their choice. This omnichannel strategy has helped improve customer experience and brought in a lot of complications for companies to orchestrate and seamlessly provide contextual services across these channels. The onus is on them to empower their agents to deal with highly specialized and complex interactions.

Bellns, a Google Contact Center Artificial Intelligence solutions partner, combines the power of natural language understanding and speech recognition to deploy intelligent chatbots and voice bots that help resolve basic issues. We also provide real-time agent assistance by empowering agents with context, insights, and intelligence required to deliver timely and accurate responses for interactions that need a human touch.

 

USE CASES FOR CONTACT CENTER AI SOLUTIONS

Airline

Reservations & Booking chauffer booking travel info , change travel dates ,check -in, reward points , TFAs, etc

ecomerce

order status , change shipping address, order cancellation, reward points ,, FAQs, etc

Banking

personal banking ,checking b lance, funds transfer, utility, payments, card transactions, reward, etc

CONTACT CENTER ARTIFICIAL INTELLIGENCE (CCAI) SOLUTIONS

AI-powered chatbots created with Dialogflow CX can be deployed in minutes. Intuitive drag & drop visual flow builder makes it easy to build and maintain sophisticated conversations. These chatbots can seamlessly switch between topics, handle supplemental questions, and operate across multiple channels 24/7 to minimize live agent interventions.

AI-powered chatbots

Conversational IVRs or Voicebots use natural language processing and machine learning to understand the context of customers’ speech and enables dynamic and hassle-free experiences.

Voicebots

Agent Assist

Empowers human agents with continuous support during their calls and chats by identifying intent and providing real-time, step-by-step assistance.

Uses natural language processing to identify call drivers and sentiment that helps contact center managers learn about customer interactions to improve call outcomes.

Insights

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