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United Arab Emirates
1 year of experience
Motivated Computer Science (AI) fresh graduate with hands-on experience in machine learning, game development, and robotics. Passionate about solving real-world problems through innovative technology and eager to grow in a dynamic, forward-thinking environment

This workflow ingests business requirements and vendor records, then extracts, structures, and interprets procurement needs using automated parsing. It filters, scores, and evaluates vendors based on requirement-matching criteria, applying closest-fit logic when exact matches are unavailable. Vendor reliability is validated through external reputation and brand-credibility checks to ensure recommended suppliers meet quality and trust standards. After evaluation, vendors are ranked using a composite scoring model that considers requirement alignment, pricing, capacity, delivery timelines, and reliability indicators. The workflow also generates clear justifications explaining why top vendors are prioritized and why lower-ranked vendors fall short. All results are consolidated into a structured procurement report that includes requirement mapping, vendor comparisons, rationale summaries, and final recommendations. It supports multi-industry procurement, partial shipment considerations, dynamic scoring adjustments, and soft-constraint relaxations to accommodate real-world supply limitations. This ensures organizations receive actionable, transparent, and optimized vendor selection guidance across diverse purchasing scenarios.
19 Nov 2025