Nia Guided Buying enables intelligent routing of product & service requests to appropriate buying channels and preferred suppliers while ensuring compliance to organization policies and generates savings. The application is designed for multiple form factors (web, mobile, chat) and for multiple channels (free form, catalog, MSP, contracts, supplier panel).
It uses AI/ML techniques to perform category matching, specifications clarity, supplier recommendations, price and lead time identification.
Nia Guided Buying uses AI/ML to identify patterns and best practices, to guide users to procure the appropriate products and services from the preferred suppliers, and facilitate an intuitive procurement experience
Single window for requesting different products and services with cross catalog search
Auto classification of user request to the right category through semantic search and AI/ML algorithms
Intuitive category specific templates and forms for user requests combined with contextualized specifications recommendations to identify the right product for the user
Intelligent supplier recommendation to ensure user spend is channeled through preferred suppliers
Nia Guided Buying eliminates the need for users to go through multiple systems for their procurement requests, while at the same time enabling purchase from the preferred suppliers as well as minimizing policy violations
Collections teams are now empowered with AI enabled risk segmentation, early prediction of delinquent accounts, suggested treatment plans based on risk segment which helps them improve efficiency
According to recent reports from the Federal Reserve Bank of New York credit card, household debt and auto-loans delinquency rates have been slowly rising, hitting a 7 year high recently.
Organizations – having realized the immense value of sophisticated procurement functions, are transforming their external spend for operations and cost optimizations. There is increased focus now fo