
Challenge
Messy Data, Costly Mistakes
The client received invoices from hundreds of active reward programs, each varying in format, data structure, and level of completeness.
These discrepancies led to frequent overpayments or missed rebates, delayed client settlements and escalations, high internal review costs along with reputational risk with program sponsors and participants.
Their internal automation tools, although effective for standard data, struggled with edge cases and non-standardized entries. Manual effort was inevitable, but scalability and efficiency were key challenges.





