A client was procuring products from multiple supplies spread across different geographic locations and was having a hard time in understanding the base and cost components. Our tool helped in automating the extraction of data from various IT systems. Also, it provided various business insights using Artificial Intelligence.
CASE STUDIES
Integration of Supplier Data
SUMMARY
METHODOLOGY
• Data were extracted from the invoices of different suppliers
• Data was then classified using Machine Learning algorithms
• Hierarchies were built
• Analysis of data to understand the variances in terms of price and procurement under different categories
END RESULTS
• Better understanding of data to make efficient business decisions
• Identification of various cost reduction factors