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Enhancing User Support with Matchbook AI's Intelligent Assistant

Introduction to Matchbook AI

Matchbook AI, based in El Segundo, California, is a SaaS platform that provides data intelligence solutions to assist companies in making informed decisions. Their platform integrates internal enterprise data systems with syndicated data from partners like Moody's, Dun & Bradstreet, Melissa, and Zoominfo. With customers ranging from mid-sized businesses to Fortune 500 companies such as Google, P&G, and Boeing, Matchbook AI is a trusted provider in the industry.

Challenges Faced by Matchbook Users

Matchbook's platform required customers' development teams to integrate using API keys, creating challenges for users who needed to access its features. Although Matchbook offered a help center with documentation and video resources, the process of finding relevant information could be time-consuming and not instantly accessible to all users, leading to potential delays in issue resolution.

Development of AI Assistant Solution

To address these challenges, Matchbook's CEO, Rushabh Mehta, partnered with Alltius to develop an AI assistant trained on their extensive help resources. The AI assistant was integrated into the platform via an on-brand widget, providing instant answers to 90-95% of user queries accurately. For cases where human support was necessary, a unique intent detection model was implemented to identify such scenarios and offer users the option to raise a ticket for further assistance.

Implementation and Results

The integration of the AI assistant streamlined Matchbook's user support process, reducing median wait times by 90% and enabling quick responses to up to 95% of user queries. This implementation resulted in a 20% bandwidth reduction for developers and agents, eliminated manual data entry in ticketing systems, and improved customer service efficiency by automating conversation summaries under the correct user records.

Future Plans and Innovations

Looking ahead, Matchbook aims to expand the capabilities of their AI assistant by implementing automatic transcription of support videos and providing personalized assistants for their downstream clients. This initiative marks a step towards assisting with data curation from various unstructured documents, enhancing user experiences and support capabilities for Matchbook's clients.


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Transforming Property Lines Quoting with AI: Enhancing Speed, Accuracy, and Client Satisfaction

The Importance of Property Lines Quoting

Property lines quoting is crucial in the insurance industry as it involves assessing property value, location, risk factors, and coverage options to generate competitive quotes. However, traditional processes are often slow, inaccurate, and lack personalization, leading to lost opportunities and reduced client satisfaction.

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Revolutionizing Insurance Operation: How AI is Transforming Workers' Compensation Quotes

Understanding Workers' Compensation Insurance

Workers' Compensation Insurance provides wage replacement and medical benefits to employees injured during work. It is a legal necessity for businesses to prevent potential lawsuits. The traditional quoting process faces challenges such as slow turnaround times, complex benefit comparisons, and high operational costs, all of which can benefit from AI solutions.

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Empowering Customer Support: AngelOne's Success Story with Alltius AI

Overview of AngelOne and the Indian Brokerage Market

AngelOne is a prominent stock and mutual funds brokerage firm in India with a vast user base of over 18 million users and an average daily turnover of $400 billion. The surge in the retail investor base in India is attributed to factors like increased internet penetration, attractive returns, and digital-first approaches by brokerage houses.

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Revolutionizing Customer Support: Alltius AI Assistant for Leading Digital Lender

Client Overview

The leading digital lender based in Bangalore, India, is a Series D funded financial services platform with over $1B annual disbursements, $40M profit target, and 7 million customers. Seeking to optimize operational costs, the client faced challenges with a high ticket volume of 10,000 daily, causing a 4-5 hour average wait time for responses.

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Revolutionize Communication with KNO Plus on Slack

Introduction to KNO Plus

KNO Plus is now available on the Slack app marketplace, offering a new and efficient way to satisfy your curiosity. This tool provides precise and quick answers to a wide range of inquiries, enhancing communication within your workspace.

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