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@article{196691,
        author = {Thenmozhi.R and Sakthi. v and Ram Sundar.M and Dharaneesh.A},
        title = {DELIVERY SURE AI: An Intelligent Procurement Document Validation System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {5197-5202},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196691},
        abstract = {This paper presents the design and implementation of DELIVERY SURE AI, an intelligent procurement document validation system that automates the verification of financial and logistics documents including Purchase Orders (PO), Invoices, Delivery Challans (DC), and Goods Receipt Notes (GRN). The system integrates Optical Character Recognition (OCR) for structured data extraction, Natural Language Processing (NLP) for semantic cross-document comparison, and machine learning-based anomaly detection to identify discrepancies such as overbilling, duplicate invoices, and short delivery. A dual-module framework comprising a User Module and an Admin Module enables automated document processing, intelligent cross-document matching, and real-time validation. Each document record is processed through a microcontroller-equivalent processing pipeline which continuously detects field inconsistencies and updates the central database through internet connectivity, ensuring accurate real-time validation information. Furthermore, the system incorporates machine learning-based document recommendation and dynamic anomaly flagging mechanisms to optimize procurement allocation and improve operational efficiency.},
        keywords = {},
        month = {April},
        }