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
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Data Harmonization addresses these challenges by contextualizing external business data for each enterprise and making it insight-ready, by leveraging automation and machine learning techniques.
Trade Promotion Effectiveness is driven by more sophisticated causal analytics, differentiating it from other solutions that have heavy bias towards forecasting.
It enables brands/companies to gain insights into its procurement spend, spend classification, category management, optimizing procurement spend, performing demand forecasting, planning budget, improv