Overview
Our client, a prominent U.S. manufacturer and distributor of hardware products, was challenged by a high volume of vendor invoices arriving in diverse formats.
Each invoice required manual review, cross-referencing against the ERP, and the generation of payment requests, a process that was both time-consuming and error-prone.
Determined to modernize their invoice processing workflow, our team leveraged advanced machine learning techniques to develop a transformative solution.
By automating data extraction and validation using a custom Form Recognizer, we minimized manual intervention, accelerated payment cycles, and enhanced overall data accuracy, delivering a robust and efficient automation framework.
Services
To revolutionize invoice processing, we engineered an end-to-end AI solution that streamlines data capture, validation, and integration. By harnessing advanced machine learning and Microsoft Azure’s cutting-edge technologies, we transformed disparate vendor forms into accurate, actionable data, dramatically reducing manual effort and enhancing operational efficiency.
Model Development
Utilizing Microsoft Azure’s on-demand Form Recognizer models, we crafted a customized solution capable of accurately extracting key invoice details and calculating confidence scores. Our deep technical expertise allowed us to tailor these models to meet the unique demands of the client’s invoice formats, delivering precise and reliable outputs.
Model Training
Impact
Our AI-powered solution has streamlined invoice processing, significantly reducing manual effort, accelerating processing times, and enhancing data accuracy. This transformation has enabled a more efficient, cost-effective invoicing workflow that drives better business outcomes.
5x
Faster invoice approvals
80%
Reduction in processing errors
25%
Lower operational costs
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