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

    [wpli_login_link class='et_pb_button et_pb_button_0 et_pb_module et_pb_bg_layout_dark' text='Download this Case Study' redirect = 'http://www.renchang.site/case-study/supplier-data-consolidation-helped-gain-actionable-insights-and-save-costs?download=true']

    快猫 亿万狼友的选择