Case Study

FMCG leader reduced operational complexity with redemption modelling

World-leading manufacturer sought our help to improve predictability of financial planning and streamline operations.


  • Cleaning Products
  • Healthcare

1 Finance headcount reallocated

30% Reduction of redemption variance


This global manufacturer wanted to improve the accuracy of finance planning in promotions to remove surprises and focus efforts elsewhere.


We used our client's historical promotions performance to accurately model future redemption and better plan future campaigns.


Historical data going back many years was tagged to match latest promotions, pushed into the platform and machine learning was applied. Live dashboards give the client quick access to live promotions versus forecast performance.


Redemption variance has reduced and the number of payment issues with retailer has also decreased. savi and the client meet monthly to review the dashboards and improve the accuracy of the model.

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