Our customer is a marketplace for car servicing, connecting individuals, fleets, and small businesses to repair shops and garages. With partners operating on different systems and sending month-end statements in inconsistent formats, reconciling that data against internal records was a persistent, error-prone challenge. We partnered with the marketplace to standardize and automate the month-end reconciliation process, cutting manual effort and sharply improving accuracy.
Needed to standardize the reconciliation process for month-end statements arriving from partners in inconsistent formats.
Built an automated process flow using Python scripting to reduce reconciliation time and improve accuracy, while cutting manual effort.
Delivered a 100% improvement in month-end reconciliation data accuracy.
We worked closely with the stakeholders, understood the process, and created a team to efficiently implement it with high accuracy and within prescribed timelines.
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