Success Story #
6
Data-Driven Price Risk Management Using Mean Reversion
Consumer Packaged Goods
Health-care systems and services
Transport and logistics
Supply chain & Manufacturing

Business Problem
A global FMCG organization hadimplemented price risk management strategies that were largely subjective andnot fully grounded in data-driven methods. This resulted in inconsistentpricing decisions, suboptimal timing of buys and sells, and limited controlover commodity volumes.

Actions Taken

·      Adopted a systematic, rule-based, data-driven approach grounded in the mean reversion principle.

·      Developed multiple pricing and risk strategies using different permutations of business rules.

·      Evaluated strategies against both market benchmarks and internal performance criteria.

·      Established disciplined execution rules to reduce subjective intervention.

Outcomes Achieved

·      Achieved consistent and more accurate pricing decisions.

·      Improved timing of commodity purchases and sales.

·      Enhanced volume control across commodities.

·      Identified potential savings of up to  half a Billion USD through disciplined, rules-based price risk management.

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