GSPANN’s Advanced Analytics team leveraged the Zeolite’s framework to build the virtual assistant leveraging Natural Language Processing (NLP) for natural conversations and Machine Learning (ML) for self-healing. The idea was to create a virtual assistant that could understand the request and auto-correct or auto-respond to the issue or the question raised.
The chatbot allows the users to make simple queries in human language. GSPANN identified chatbot use cases and integrated Zeolite with the client’s communication interface, which was Cisco WebEx. The chatbot even incorporated a security layer to comply with the client’s security protocols for data security and access.
The chatbot was deployed on the client’s virtual servers behind the security firewalls and ran in the client’s virtual private cloud. Zeolite’s core algorithms were used to determine user intentions, recognize entities, and execute tasks.
The chatbot provides the convenience of a human-like interaction. It has a menu-driven flow and prompts for missing information when performing a task. It is integrated with Cisco’s WebEx teams through webhooks and custom APIs. The chatbot also has an authorization and authentication layer so that only the client’s employees have access to it.