Tips for Procurement

📌 TLDR Summary Level up your supply chain ops with these 5 AI hacks. Streamline planning, sourcing, production, delivery, and returns using tools like NotebookLM and Google Workspace to save hours daily. 🚀 Planning - Tool: NotebookLM - The Fix: Stop manually reading through hundreds of pages of demand forecasts and market reports. Upload your source files to NotebookLM to get instant, synthesized insights and answers specific to your complex supply chain data. - How to do it: 1. Create a new notebook and upload your relevant demand forecasting PDFs and historical sales data. 2. Use the chat interface to query specific constraints. 3. Use this prompt: 🚀 Sourcing - Tool: Gemini Enterprise (Workspace) - The Fix: Drafting complex RFPs and vendor correspondence is time-consuming. Use integrated Gemini to pull context from your existing emails and Drive files to draft professional, personalized communications in seconds. - How to do it: 1. Open Gmail or Google Docs. 2. Click the Gemini icon in the side panel. 3. Use this prompt: 🚀 Making - Tool: Google Sheets with Embedded AI - The Fix: Manual production scheduling and defect tracking is error-prone. Use the "Help me organize" feature in Sheets to structure your data and spot manufacturing trends instantly. - How to do it: 1. Paste your raw production log data into a Google Sheet. 2. Click the "Help me organize" button in the side panel. 3. Enter this prompt: 🚀 Delivering - Tool: Google Vids - The Fix: Creating training materials for last-mile delivery protocols is slow. Use Google Vids to generate visual explanations of route optimization software or delivery protocols directly from your existing documentation. - How to do it: 1. Select "Help me create" within Google Vids. 2. Input your delivery SOP document or specific project requirements. 3. Use this prompt: 🚀 Returning - Tool: Standard LLMs (Gemini/ChatGPT) - The Fix: Processing return feedback (RMA comments) is tedious. Use an LLM to perform sentiment analysis and categorize the "reason for return" to help identify product quality trends at scale. - How to do it: 1. Export your latest list of customer return comments. 2. Copy the text into the chat interface. 3. Use this prompt: