Project Details

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Artificial Intelligence and automation to improve efficiency, accuracy, and decision-making in sourcing and supplier management

Company: Prologis, Inc.

Major(s):
Primary: CMPSC
Secondary: IE

Non-Disclosure Agreement: YES

Intellectual Property: NO

Project Overview Prologis’ Global Procurement organization is exploring opportunities to leverage Artificial Intelligence (AI) and automation to enhance efficiency, accuracy, and decision-making across sourcing and supplier management. The goal of this capstone project is to design, prototype, and evaluate an AI-driven solution that supports Procurement by automating insights, risk and performance analysis, and data summarization. Students will analyze current manual processes, evaluate AI tools (including large language models and structured data models), and deliver a working proof of concept or workflow design demonstrating automation potential and measurable business value. Problem Statement Procurement teams currently spend significant time on: • Collecting, validating, and summarizing supplier and cost data across multiple regions. • Responding to internal stakeholder inquiries on procurement processes and programs. • Conducting manual savings entries. • Preparing forecasts, presentations, and speaking notes for leadership meetings. These activities are time-intensive and repetitive, limiting the team’s ability to focus on strategic initiatives. Automating or augmenting these workflows with AI could significantly reduce manual workload while improving accuracy, consistency, and responsiveness across procurement operations. Project Objectives • Identify high-impact use cases where AI can automate or assist procurement workflows. • Design and prototype one or more AI-powered tools that demonstrate measurable process improvement. • Quantify potential impact (time saved, error reduction, or improved accuracy). • Deliver an implementation roadmap for potential adoption within Prologis Procurement. Expected Deliverables 1. Project Charter and Timeline – Define scope, success criteria, and data needs. 2. Process Mapping and Baseline Study – Document current workflows and identify automation opportunities. 3. Prototype or Workflow Design – Build an AI model, dashboard, or automation flow using sample data. 4. Impact and ROI Analysis – Quantify potential time savings and business value. 5. Final Report and Presentation – Deliver results and recommendations to Prologis Procurement leadership.