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Sancus was leveraged to consolidate Supplier data from Supplier Information Management and ERP systems, and then the problem was broken down to work towards providing actionable insights:

  • Spend data was extracted from invoices
  • Spend Taxonomy was created and then further classified into various buckets using AI/ML techniques
  • Sancus helped create entity hierarchies using 3rd party APIs
  • Lastly, Spend data was analyzed to identify saving opportunity by detecting price variances and anomalies in at SKU, Category, Geography, etc. level


  • The client was able to better understand the supplier base because of data consolidation, and take effective strategic decisions
  • The analytics layer on top of clean data helped identify cost-saving opportunities


  • Reduced indirect spend by 9% in the first quarter

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