Leveraging AI-driven vector embeddings to improve ticket similarity detection, problem management, and known error tracking in Zoho Desk.
Traditional support systems often struggle with recognizing recurring issues across different tickets, leading to inefficiencies and delayed resolutions.
By incorporating vector embeddings, we analyze tickets semantically to identify similarities and streamline the problem management process.
Demonstrating the system's capability through identifying and resolving a recurring software bug reported by multiple customers.
Integrating vector embeddings into Zoho Desk transforms support ticket handling, making the process smarter, more efficient, and customer-centric.