Generate weekly supply chain OTIF reports and AI analysis with Notion and GPT-4o
Needs changesNeeds changes. This template uses 1 thing(s) that n8n 3.0 removes: AI Agent v1 (old agent modes). 1 breaking item(s) found. Static check, last run 2026-10-19.
What to replace before upgrading
| Removed in 3.0 | Replace with |
|---|---|
| AI Agent v1 (old agent modes) AI Agent Weekly Performance Summary (v1.7), AI Agent Global Performance Summary (v1.7) | Latest AI Agent node (Tools Agent). For SQL Agent, use a Postgres or MySQL tool with a recent AI Agent. |
Nodes used (6)
- Code
n8n-nodes-base.code - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Notion
n8n-nodes-base.notion - Data table
n8n-nodes-base.dataTable - AI Agent
@n8n/n8n-nodes-langchain.agent - Schedule Trigger
n8n-nodes-base.scheduleTrigger
What it does
Tags: Logistics, Supply Chain, OTIF, KPI Tracking, Performance Management, AI Analysis, Notion Context Hi! I'm Samir, Supply Chain Engineer, Data Scientist based in Paris, and founder of LogiGreen. > Let's use AI with n8n to automate supply chain performance tracking! Tracking On-Time In-Full (OTIF) delivery performance is critical for retail logistics, but manually compiling data, computing KPIs, and writing analysis reports is time-consuming and error-prone. !Workflow Overview This workflow automates the entire process: collecting shipment data, aggregating weekly KPIs, generating AI powered performance analyses, and pushing everything into a Notion dashboard. !Notion Dashboard For business inquiries, you can find me on LinkedIn Demo of the workflow The workflow collects shipment records from your TMS and WMS, then aggregates them by week. !n8n Data Table An AI Agent analyses each week's performance and generates summary cards in Notion. !AI Generated Analysis Weekly OTIF data is automatically pushed to a Notion database for tracking and visualisation. !Weekly OTIF Data Who is this template for? This template is ideal for logistics and supply chain teams looking to automate KPI reporting: - Supply chain managers tracking delivery performance across carriers and warehouses - Logistics analysts who need automated weekly OTIF scorecards - Operations teams looking to leverage AI for performance insights Tutorial A complete tutorial (with explanations of every node) is available on YouTube: !Tutorial + Demo What does this workflow do? This automation uses Notion databases and OpenAI AI Agents to build a complete OTIF scorecard: 1. The workflow is triggered manually (or on a schedule). 2. Shipment data is collected from your TMS and WMS systems. 3. Records are aggregated by week, computing On-Time rate, In-Full rate, and OTIF rate. 4. An AI Agent analyses each week's performance and identifies trends, issues, and recommendations. 5. Weekly KPI rows are pushed to the Daily OTIF Summary database in Notion. 6. Per-week AI analysis cards are created in the AI Generated Analysis database. 7. A second AI Agent generates a global performance summary across all weeks. 8. The global summary card is updated in Notion with the overall analysis. Next Steps Before running the workflow, follow the sticky notes and configure: - Connect your Notion API credentials and update the database IDs in all Notion nodes - Add your OpenAI API Key to the AI Agent nodes - Update the "Collect Shipments from TMS & WMS" node with your actual data source (API, Google Sheets, or database) - Adjust the AI prompts to match your specific KPI thresholds and business context - Set up the Notion template with the two required databases: "Daily OTIF Summary" and "AI Generated Analysis" - Duplicate the Notion template to your workspace before connecting the workflow - (Optional) Change the trigger from manual to a scheduled cron for automated weekly reporting Submitted: 8 March 2026 Template designed with n8n version 2.10.12