Abstract
To leverage the power of e-commerce web data for procurement with the material prices across the spectrum of categories, an additional reference tool was developed based on NLP (Natural Language Processing), Elastic Search etc. This recommender mechanism aids the procurement team to efficiently negotiate the prices and analyze new supplier options for an organization. This paper covers a crucial step of the process which is a methodology to match external material data from web with internal material data of an organization and how it helps business to achieve its objective.
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