Support Ticket Categorization System

Problem and implemented solution

In today's dynamic business landscape, organizations are increasingly recognizing the pivotal role customer feedback plays in shaping the trajectory of their products and services. The ability to swiftly and effectively respond to customer input not only fosters enhanced customer experiences but also serves as a catalyst for growth, prolonged customer engagement, and the nurturing of lifetime value relationships. As a dedicated Product Manager or Product Analyst, staying attuned to the voice of your customers is not just a best practice; it's a strategic imperative. While your organization may be inundated with a wealth of customer-generated feedback and support tickets, your role entails much more than just processing these inputs. To make your efforts in managing customer experience and expectations truly impactful, you need a structured approach – a method that allows you to discern the most pressing issues, set priorities, and allocate resources judiciously. One of the most effective strategies at your disposal is to harness the power of Support Ticket Categorization – done in the modern day using Large Language Models and Generative AI. For the above mentioned Business Context I developed an advanced support ticket categorization system that accurately classifies incoming tickets, assigns relevant tags based on their content, and assigns priority and ETA for the tickets for prompt resolution.

India
Nomination

Artificial Intelligence And Digital Services

Topic

Artificial intelligence

Estimated duration of implementation

3 to 6 moths (depending on the data)

Implementation geography

All over the world

Description of competitive advantages

The system can help organizations in recognizing the pivotal role customer feedback plays in shaping the trajectory of their products and services.

List of awards and prizes, media articles about the organization/individual or the Practice

https://olympus.mygreatlearning.com/feed/sayyed-danish-ahmed-shakeel-ahmed/d9af608d1dafbea2f17a9687a5145f478c520691

List of scientific works and IP connected with the Practice

N.A.

Contacts

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Partners

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