AI can flag potential issues with POs, such as unauthorized purchases or budget overruns, before they are approved.
Procurement platforms can automatically generate purchase orders (POs) based on approved requisitions. They can then route POs for approval through pre-defined workflows, ensuring compliance with internal policies.
AI algorithms analyze a wide range of supplier data (financial stability, past performance, risk factors, certifications) to assess their suitability. Natural Language Processing (NLP) can analyze online reviews, news articles, and social media mentions to gauge supplier reputation.
Procurement platforms can automate the process of sending out requests for information (RFIs) and requests for proposals (RFPs). They can also use AI to analyze and rank supplier responses, significantly speeding up the evaluation process.
AI can identify discrepancies between invoices, POs, and contracts, such as incorrect prices or quantities. It can also learn to predict and prevent invoice fraud.
Optical Character Recognition (OCR) technology can extract data from invoices, eliminating the need for manual data entry. This data is then matched against POs and contracts, and invoices are automatically routed for approval.
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