Generative Ai For Procurement Analysts

1000+ Prompts to Automate Every Procurement Function

What you'll learn

Understand the core principles behind Generative A

Access 1000 ready-to-use AI prompts designed specifically for procurement analysis and automation

Distinguish between traditional procurement methods and AI-augmented procurement analysis

Apply Generative AI vs. Predictive AI approaches in strategic sourcing decisions

Master prompt engineering techniques including instructional, analytical, zero-shot, one-shot, few-shot, and prompt chaining

Create context-rich procurement prompts and avoid common prompt design mistakes

Auto-generate supplier evaluation matrices, SWOT analyses, and compliance summaries

Use Generative AI to analyze, summarize, and redline procurement contracts

Automate RFQs, RFPs, SOPs, negotiation emails, and procurement checklists

Generate spend analysis dashboards, EOQ, TCO, and KPI calculations using text-to-formula prompts

Visualize procurement trends and create narrative-rich reports for stakeholders

Monitor real-time supplier risk and generate alerts using external signals like ESG ratings, inflation, or geopolitical events

Learn from real-world case studies like McKinsey, Siemens, Coupa, SAP Ariba, and IBM

Build a fully automated procurement workflow from need identification to PO issuance

Requirements

Basic understanding of procurement processes, including sourcing, RFx, contract management, and spend analysis

No prior coding knowledge required—Generative AI tools will be used via natural language

Interest in AI, digital transformation, or automation within procurement or supply chain

Access to a computer with internet connection

Willingness to experiment with prompt engineering techniques and AI-assisted workflows

Description

This comprehensive course, “Generative AI for Procurement Analysts,” is designed to empower procurement professionals with cutting-edge skills to navigate the AI-driven transformation of sourcing, vendor management, and spend optimization. It begins by demystifying Generative AI, explaining how Large Language Models (LLMs), transformer architectures, and diffusion models are redefining enterprise procurement. The course traces the evolution of AI in procurement systems, contrasting traditional spreadsheet-based analysis with AI-augmented decision-making and predictive vs. generative sourcing intelligence. Learners explore major tools like ChatGPT and examine McKinsey’s perspective on real-world AI adoption in procurement.In the next module, the focus shifts to prompt engineering, the core skill for interacting with generative AI. Students learn the anatomy of effective prompts, distinguish between instructional and analytical prompting, and master techniques like zero-shot, one-shot, and few-shot learning with procurement-specific examples. Advanced topics like prompt chaining and crafting context-rich queries are explored alongside common prompt errors and their remedies.The course then deep-dives into functional applications such as vendor discovery, supplier evaluation matrices, SWOT analysis, risk profiling, and compliance checks, supported by case studies like global supplier shortlisting. Contract management follows, where learners apply AI to analyze clauses, identify risks, extract obligations, and redline terms—illustrated by Coupa and SAP Ariba case examples.The final modules cover spend analysis, cost optimization, EOQ/TCO/KPI generation, and visual reporting using generative prompts, along with real-time risk monitoring, external signal integration, and alert generation, exemplified by Siemens’ AI risk mitigation. Students will also auto-generate RFPs, SOPs, negotiation emails, and workflow automations, culminating in 1000 expertly crafted prompts tailored for procurement analytics, helping learners fully operationalize AI in their daily work.

Overview

Section 1: Introduction to Generative AI in Procurement

Lecture 1 What is Generative AI?

Lecture 2 Evolution of AI in Procurement Systems

Lecture 3 Traditional Procurement Analysis vs. AI-Augmented Procurement

Lecture 4 Generative AI vs Predictive AI in Strategic Sourcing

Lecture 5 Case Study McKinsey’s perspective on AI in procurement

Section 2: Prompt Engineering for Procurement Analysts

Lecture 6 What are Prompts Anatomy of a Good Prompt

Lecture 7 Instructional vs Analytical Prompts

Lecture 8 Zero-shot, One-shot, Few-shot Learning with Examples

Lecture 9 Prompt Chaining: Building Logic through Sequences

Lecture 10 Crafting Context-Rich Procurement Prompts

Lecture 11 Common Prompt Mistakes and How to Avoid Them

Section 3: Generative AI for Supplier Sourcing and Evaluation

Lecture 12 Prompting for Vendor Discovery and Category Insights

Lecture 13 Auto-generating Supplier Evaluation Matrices

Lecture 14 Use of GenAI for SWOT Analysis of Suppliers

Lecture 15 Creating Risk Profiles and Compliance Summaries

Lecture 16 Case Study: GenAI Use in Global Supplier Shortlisting

Section 4: Contract Review and Legal Analysis with Generative AI

Lecture 17 Auto-analyzing Procurement Contracts and Clauses

Lecture 18 Identifying Contract Risks Using Generative Models

Lecture 19 Extracting Terms and Obligations from PDF Contracts

Lecture 20 Summarizing Multi-vendor Agreements

Lecture 21 Prompt Examples: Redlining and Compliance Prompting

Lecture 22 Case Study: AI for Contract Management at Coupa and SAP Ariba

Section 5: Cost, Spend, and Category Analysis Using AI

Lecture 23 Analyzing Spend Patterns with GenAI

Lecture 24 Cost Optimization Prompts and Templates

Lecture 25 Generating Category Spend Reports Automatically

Lecture 26 Text-to-Formula: EOQ, TCO, and Procurement KPIs

Lecture 27 Visualizing Spend Narratives for Stakeholder Reporting

Lecture 28 Case Study: Spend Intelligence at IBM with GenAI

Section 6: Risk Management and Supplier Monitoring

Lecture 29 Prompting for Real-Time Supplier Risk Summaries

Lecture 30 Monitoring News, ESG, and Social Media Feeds via AI

Lecture 31 Integrating External Signals (e.g., war, strikes, inflation) in Risk Prompts

Lecture 32 Generating Alerts for Contractual or Delivery Breaches

Lecture 33 Example Prompts: "Summarize ESG alerts for top 10 suppliers"

Lecture 34 Case Study: Siemens using AI for Risk Mitigation in Supply Chain

Section 7: Procurement Process Automation with Generative AI

Lecture 35 Auto-generating RFPs and RFQs

Lecture 36 Drafting SOPs and Procurement Checklists via Prompts

Lecture 37 Workflow Automation: From Need Identification to PO

Lecture 38 AI-driven Email Replies for Vendor Negotiations

Lecture 39 AI-generated Comparison Dashboards for Procurement Teams

Lecture 40 Case Study: AI Co-pilot for Procurement at Amazon Business

Section 8: 1000 Prompts for Generative AI for Procurement Analysts

Lecture 41 Spend Analysis and Visualization

Lecture 42 Vendor Comparison Dashboards

Lecture 43 Auto-Generating RFPs and RFQs

Lecture 44 Contract Clause Summarization

Lecture 45 Identifying Contractual Risks

Lecture 46 Delivery Performance Monitoring

Lecture 47 Invoice-to-Contract Price Matching

Lecture 48 Supplier Risk Profiling

Lecture 49 Geopolitical and Market Disruption Monitoring

Lecture 50 ESG Risk Summarization and Scoring

Lecture 51 Generating Supplier Scorecards

Lecture 52 Procurement Compliance Checks

Lecture 53 Redlining Vendor Contracts

Lecture 54 SOP and Procurement Policy Drafting

Lecture 55 Procurement Process Checklists

Lecture 56 Spend Category Intelligence Reports

Lecture 57 Text-to-Formula for EOQ, TCO, ROP

Lecture 58 Procurement KPI Generation and Interpretation

Lecture 59 Forecasting Procurement Demand

Lecture 60 Auto-Generating Purchase Orders (POs)

Lecture 61 Supplier Onboarding Documentation

Lecture 62 Creating Procurement Approval Summaries

Lecture 63 AI-Generated Negotiation Emails

Lecture 64 AI-Powered Vendor Rejection Letters

Lecture 65 Vendor Payment Term Optimization

Lecture 66 Dynamic Vendor Discovery Based on Scope

Lecture 67 AI in Indirect Spend Control

Lecture 68 Prompting for Freight and Logistics Quotations

Lecture 69 Auto-Creating Requisition Forms

Lecture 70 Comparison of Multi-Vendor Contracts

Lecture 71 Scenario-Based Risk Simulations

Lecture 72 Supply Chain Disruption Alerts

Lecture 73 Prompting for Spend Trends Across Regions

Lecture 74 Generating Procurement Audit Reports

Lecture 75 Category-Specific Strategic Sourcing Playbooks

Lecture 76 Prompting for Savings Opportunity Identification

Lecture 77 Creating Dashboards for CPO Review

Lecture 78 Vendor Performance Score Trends

Lecture 79 Prompt-Based Supplier Escalation Letters

Lecture 80 Procurement Fraud Pattern Detection

Lecture 81 Contract Expiry Alerts and Renewal Summaries

Lecture 82 AI-Generated SLA Violation Reports

Lecture 83 AI-Assisted Market Intelligence Reports

Lecture 84 Supplier ESG and Diversity Data Collection

Lecture 85 Tracking Maverick Spend

Lecture 86 Automated Sourcing Calendar Generation

Lecture 87 RFx Document Quality Review

Lecture 88 AI for Regulatory and Import Compliance Checks

Lecture 89 AI-Augmented Joint Cost Negotiation Strategy

Lecture 90 Procurement Workflow Automation from Need to PO

Procurement analysts and specialists looking to automate data analysis, supplier scoring, and sourcing workflows,Category managers seeking smarter tools for vendor discovery, contract negotiations, and risk evaluation,Strategic sourcing professionals aiming to enhance decision-making with AI-generated insights and spend intelligence,Supply chain professionals interested in integrating AI into procurement planning and operations,Contract managers and legal procurement reviewers who want to streamline redlining and clause analysis,Finance and operations analysts supporting procurement functions with cost modeling and KPI reporting,Consultants and transformation leads managing digital procurement initiatives or AI-readiness programs,Anyone working in enterprise procurement eager to gain hands-on skills in Generative AI and prompt engineering,Tech-savvy professionals exploring career opportunities at the intersection of procurement and AI,Students or early-career professionals looking to future-proof their skills in AI-driven procurement systems