How to Build a Supply Chain Dashboard in Google Sheets Using Gemini AI
Creating management-ready reports from messy transactional data has always been one of the most tedious tasks in operations. Hours go into fixing date formatting, double-checking unit totals, and writing nested formulas to figure out supplier lead times. With generative AI baked directly into Google Workspace, that workflow changes completely.
In this guide, we take a real-world dataset of 40 supply chain transactions—tracking orders, warehouses (such as Mumbai and Pune), priorities, and delivery statuses—and build an executive dashboard using Google Sheets + Gemini AI.
Step 1: Clean and Prepare the Source Data First
Your dashboard results are only as good as the underlying data. Before asking Gemini to calculate anything:
- Verify that dates follow a consistent format so the AI recognizes time trends.
- Ensure
Unit CostandTotal Order Valuecolumns are strictly numeric. - Standardize categories (Accessories, IT Equipment, Packaging) and priority levels (High, Medium, Low).
- Convert your dataset into a named table format (e.g.,
SCM_data) for seamless querying.
Step 2: Prompting Gemini for Structure and Scorecards
Once your clean table is loaded into Google Sheets via Google Drive, you can prompt Gemini to design your operational hub. The engine analyzes fulfillment patterns, spots bottlenecks, recommends suitable charts (like donut charts for category spend and clustered columns for destination hubs), and plots the scorecard metrics directly onto Sheet 1.
Step 3: Executive Standup Insights on Demand
Beyond chart generation, Gemini writes out analytical observations: identifying which suppliers deliver the highest order value, pinpointing recurring fulfillment delays, and highlighting destination volume concentrations. This eliminates the risk of stale numbers during daily operational meetings.
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