80%

Auto-response of tickets

70%

Reduced cost of staffing

50%

Decrease in ticket resolution time

Technologies Used

Open-AI
Open AI
Anthropic
Anthropic
Client Profile

The client, a B2B SaaS company, serves Small and Medium-sized Business (SMB) clients in over 40+ countries. Possessing a global presence, the company prioritizes delivering innovative solutions and enhancing operational efficiency for its diverse clientele, enabling them to thrive amid the challenges of digital transformation

Business Context

The client encountered various obstacles in their technical support operations, which negatively impacted operational efficiency and hindered business growth. The increasing expenses in technical support had constrained available resources, and the struggles in retaining skilled support staff had resulted in delays, inconsistent service, and unresolved customer concerns. Additionally, the burden of repetitive tickets and customers not referring to manuals had depleted resources and impeded productivity, posing challenges to the company's potential for growth

Challenges

Challenges

Increasing expenses for technical support posed limitations on business growth, reducing available resources ​


Difficulty in retaining skilled support staff resulted in delays, inconsistent service, and unresolved issues​


Repetitive tickets and customer disregard for manuals drained resources, hindered productivity, and impeded growth​


Solution

Created knowledge base and prepared historical tickets for machine learning, improving support and operational efficiency​


Implemented LLM-based AI ticket resolution system, reducing response times and increasing customer satisfaction​ with AI for business


Implemented AI for operational efficiency​, and reduced TAT for query resolution 

solution

Challenges

Increasing expenses for technical support posed limitations on business growth, reducing available resources ​


Difficulty in retaining skilled support staff resulted in delays, inconsistent service, and unresolved issues​


Repetitive tickets and customer disregard for manuals drained resources, hindered productivity, and impeded growth​


Solution

Created knowledge base and prepared historical tickets for machine learning, improving support and operational efficiency​


Implemented LLM-based AI ticket resolution system, reducing response times and increasing customer satisfaction​ with AI for business


Implemented AI for operational efficiency​, and reduced TAT for query resolution 

Business Impact

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AI for Operational Efficiency

Streamlined technical support operations, improving efficiency with an LLM-driven Al ticket response system

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Cost Optimization

Reduced staffing costs and optimized resource allocation by implementing AI for business automation

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Quicker Ticket Resolution

Faster query resolution using AI in customer service improved overall customer satisfaction

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Scalability and Growth

Streamlined processes with AI automation for business to scale operations and implemented data-driven tactics to pursue growth opportunities

Why Kanerika

Kanerika is a premier provider of data-driven software solutions and services that facilitate digital transformation. Specializing in Data Integration, Analytics, AI/ML, and Cloud Management, Kanerika prides itself on its expertise in employing cutting-edge technologies and agile methodologies to ensure exceptional outcomes. With a proven track record across various industries, Kanerika maintains rigorous quality standards, backed by ISO 27701 certification, SOC II, and GDPR compliance. As a distinguished partner of Microsoft, AWS, and Informatica, Kanerika’s commitment to innovation and strong partnerships positions it at the forefront of empowering businesses for their growth.

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