Intellect Digital Technology for Commerce | iDTC’s Post

We observed that iAPX’s CDG technology-powered agents, Document Assistant and Data Assistant, excel in Accounts Payable processes for effectively managing ‘Invoice Receipt’ and ‘Data Extraction’. The user journey continues to verify the accuracy of the captured information. iAPX introduces: 1. ‘Verifier Assistant’ ensures data point compliance with customer-specific regulations, eliminates data duplication and ensures accuracy.  2. ‘Reconciliation Assistant’ seamlessly uploads PO data via CSV or API files and performs advanced 3-way matching aligning invoices with POs & Good Receipts. iAPX solves the current intuitive need for verification & reconciliation through the below-patented algorithms: 1. Contextual Anomaly Detection: Protects against fraud by analysing duplicate invoices, invoice amounts, anomalies, purchase orders, vendor activity, transaction timings, employee behaviour and risk factors. 2. Contextual Invoice Expense Categorisation: Aligns expenses with accounting codes, assigns GL codes or categories to each invoice for streamlined financial record-keeping. 3. Contextual Line Item Expense Categorisation: Enhances financial record-keeping efficiency by assigning GL codes or categories at the invoice level for meticulous expense alignment and compliance. 4. Contextual PO Invoice Matching: Goes beyond simple matching, predicting and suggesting appropriate matches based on extracted PO numbers for accuracy, efficiency and data integrity. 5. Continuous Feedback & Learning: A human-in-the-loop system to review information for continuous quality checks and refinement of captured information. Learn More: https://iapx.ai/ Debanjan Kumar | Sunil Rajvanshi | Manish Nahar | Mahesh Jakhetiya | Ambadas Choudhari | Kunal Thassu | Saumya Behera | Mayank Malhotra #idtc #eMACHai #embeddedai #iapx #accountspayable #accountspayableplatform #invoiceprocessing #dataaccuracy #efficiency #dataassitant  

Biggest Challenges in Accounts Payable Processing

Biggest Challenges in Accounts Payable Processing

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