Pricing Policy Chatbot
Description
The AI, specifically the Pricing Policy Chatbot, is intended to solve the problem of efficiently providing factually accurate, context-relevant, and consistent information related to Pricing Policy to internal stakeholders. By training a RAG-based internal chatbot on a dedicated corpus of knowledge, the system aims to streamline the process of information retrieval and ensure that personnel have immediate access to the necessary guidance for their duties, thereby reducing potential inconsistencies and improving operational efficiency.
AI / analytics pattern
Natural Language Processing (NLP)
Automation level / stage
b) Pilot - The use case has been deployed in a limited test or pilot capacity.
Expected benefit
Efficiency, productivity, service quality
Controls / human review
Inventory row should be validated against agency governance and M-25-21 controls.