AI-Driven Customer Support Transformation for a Global Consumer Appliances Leader - Indium

AI-Driven Customer Support Transformation for a Global Consumer Appliances Leader

AI-Driven Customer Support Transformation for a Global Consumer Appliances Leader

Client Overview

A leading global consumer brand known for designing, marketing, and distributing innovative household appliances across the categories of cooking, cleaning, and food preservation. Headquartered in North America, the company has a strong international presence and a reputation for developing high-performance, user-friendly products that simplify everyday life. With a growing customer base and a wide range of products, they aim to deliver seamless customer experiences while continuously driving innovation in home technology.

Client Overview

Faced with increasing customer queries and growing volumes of technical support requests, the client needed to reimagine their customer support experience. Manual handling of product-related enquiries, warranty claims, and technical troubleshooting was time-consuming and prone to inconsistencies.

To maintain their leadership in the competitive consumer appliance market, the client sought an intelligent, scalable solution to enhance service efficiency, extract actionable insights, and deliver superior customer experience

Claims Moved Faster Than the Process Supporting Them

The claims process involved multiple handoffs, and without a connected workflow, the client spent more time following up on claim movement and processing status.

01

Automate Customer Support Across Product Lines

Implement a robust automation solution to handle product inquiries and technical support calls across multiple product categories.

02

Transcribe and Cleanse Customer Conversations

Accurate, noise-free transcription of customer service calls to improve analysis and enable downstream automation.

03

Evaluate Customer Service Quality

Leverage transcript analysis and customer feedback to assess the performance of support agents and identify areas for improvement.

04

Extract and Analyze Complex Product Documents

Process and extract insights from warranty forms, user manuals, and other technical documents to support intelligent responses to customer queries.

AI-Driven Customer Support Automation Through teX.ai and OpenAI Model Integration

To address these challenges, we deployed a cutting-edge AI solution powered by the teX.ai accelerator and OpenAI’s GPT models. The integrated platform automated customer support processes while improving accuracy, efficiency, and user satisfaction:

AI-Driven Transcription & Noise Cancellation

Utilized teX.ai for high-accuracy, noiseless transcription of customer calls, enabling precise downstream analytics and real-time monitoring.

Text Summarization for Quick Insights

Implemented OpenAI’s GPT summarization capabilities to distill lengthy support interactions into concise, actionable summaries.

Contextual Understanding of Technical Documents

Developed a baseline model using GPT-3.5 Davinci to ingest and interpret complex product documents, such as warranties and user manuals, enabling the system to respond to diverse queries with high contextual relevance.

Developed a baseline model using GPT-3.5 Davinci to ingest and interpret complex product documents, such as warranties and user manuals, enabling the system to respond to diverse queries with high contextual relevance.

The AI-powered BOT handled product troubleshooting, detected customer sentiment, routed complex issues to agents, and automated warranty and service ticket processes.

Revolutionizing Customer Support with Advanced AI-Powered Solutions

01

97% Improvement in First Call Resolution (CSAT Score)

The AI-enabled system resolved a vast majority of queries during the first interaction, significantly boosting customer satisfaction.

02

>90% Reduction in Turnaround Time

Automation of inquiry handling and service ticket generation drastically reduced response and resolution times.

03

~85% Response Accuracy Across 90% of Inquiries

The solution demonstrated high accuracy in addressing customer questions across a wide range of products, minimizing the need for human intervention.