Multimodal Conversational AI for Customer Service Automation

Multimodal Conversational AI for Customer Service Automation

Technology

, ,

Industry

Business Function

50+ Deployments

85% POC Success rate

Share it

Share on facebook
Share on twitter
Share on linkedin
Share on whatsapp
Share on email

Technology Overview

Consisting of an AI & ML powered Conversation Engine, the proprietary solution of the Engine is offered over ,both- WhatsApp & Voice Calls & is capable of engaging in conversation with the customers to provide a more personalized experience to them without the need for human intervention. Also it is capable of solving both pre sales & post sales customer queries.

Impact

Upto 50% reduction in engagement costs for organizations that have deployed the solution. In addition to this, the technology was able to increase the operational efficiency by up to 30% while also helping automate the process allowing the clients to reduce manpower requirement in customer service process.The resolution time for customer queries also saw a significant reduction in time being taken to solve a query.

Applications

The proprietary AI-ML based Conversation Engine solution has been deployed across multiple domains like Automobile, Insurance, Logistics, among others, particularly to automate the customer service process & reduce the resolution time for queries.

Technology USP

The USP for the solution is the use of machine learning algorithms which allows the system to continuously learn from the data without relying on rules based programming, i.e the solution improves itself automatically after every engagement.

The solution also requires minimalist changes that need to be made to the client’s existing systems & is capable of integrating with the said system easily.

Also the system is multilingual & is capable of handling multiple languages & supporting the customer no matter how they interact.

The solution is scalable & is capable of handling the clients global needs.

Share it

Share on facebook
Share on twitter
Share on linkedin
Share on whatsapp
Share on email