We stitch together multi-source procurement data applying our algorithm (co-developed with the University College London) to regroup spend into RFQ ready value. We can work with variable raw data to recategorize all suppliers, their products, and services to a single taxonomy and process $bns of spend within days, and provide outputs that prioritize the top savings opportunities based on cutting-edge analysis that has formed the basis for many multi-million savings programs.

Our process is simple, we work with our client's data teams to collate all their spend into a single flat file. Regardless of languages and variables, we run basic inputs (such as company names, spend and PO descriptions) through our 'black box' engine that essentially transforms this information into a detailed understanding of what each supplier does and their low-level products and service categories. This is mapped under a single hierarchical taxonomy that is further 'understood' by our algorithm and mapped in...
We stitch together multi-source procurement data applying our algorithm (co-developed with the University College London) to regroup spend into RFQ ready value. We can work with variable raw data to recategorize all suppliers, their products, and services to a single taxonomy and process $bns of spend within days, and provide outputs that prioritize the top savings opportunities based on cutting-edge analysis that has formed the basis for many multi-million savings programs.

Our process is simple, we work with our client's data teams to collate all their spend into a single flat file. Regardless of languages and variables, we run basic inputs (such as company names, spend and PO descriptions) through our 'black box' engine that essentially transforms this information into a detailed understanding of what each supplier does and their low-level products and service categories. This is mapped under a single hierarchical taxonomy that is further 'understood' by our algorithm and mapped into our Kraljic 2.0 analysis structure. Further to this, we bind the analysis across the set, to crop up similarities between suppliers, products, and services to:
Draw concrete conclusions into the ideal combinations of categories and spend to cash in on headline savings
Identify high value/ risk data gaps worth investigating to improve future sourcing initiatives

As a result of structuring ideal sourcing, our connected technical services are aligned to aligning multi-source supplier performance KPI structures into objective, comparable, collaboration enforcing streams that aggregate and reinforce senior engagement/ investments into measuring and improving value creation.
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Advisors

Yasar Khan
Admin
Yasar Khan

Employees

Mahesh De Zoysa
Admin
Mahesh De Zoysa CEO Passionate digital architect with a wealth of experience in leading and delivering high-impact improvement supply chain programs.