Block 1 - Aggregate by Week
- Type / Role
- n8n-nodes-base.code - code
- Config choices
- Version 2
Tags: Logistics, Supply Chain, OTIF, KPI Tracking, Performance Management, AI Analysis, Notion Context Hi! I'm Samir, Supply Chain Engineer, Data Scientist based in P...
n8n-nodes-base.code, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.notion, n8n-nodes-base.datatable, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.stickynote, n8n-nodes-base.scheduletrigger
This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Samir Saci.
Original n8n.io sourceTags: Logistics, Supply Chain, OTIF, KPI Tracking, Performance Management, AI Analysis, Notion
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.
This workflow automates the entire process: collecting shipment data, aggregating weekly KPIs, generating AI powered performance analyses, and pushing everything into a Notion dashboard.
For business inquiries, you can find me on LinkedIn
The workflow collects shipment records from your TMS and WMS, then aggregates them by week.
An AI Agent analyses each week's performance and generates summary cards in Notion.
Weekly OTIF data is automatically pushed to a Notion database for tracking and visualisation.
This template is ideal for logistics and supply chain teams looking to automate KPI reporting:
A complete tutorial (with explanations of every node) is available on YouTube:
This automation uses Notion databases and OpenAI AI Agents to build a complete OTIF scorecard:
Before running the workflow, follow the sticky notes and configure:
Submitted: 8 March 2026 Template designed with n8n version 2.10.12
This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.
| Workflow | Generate weekly supply chain OTIF reports and AI analysis with Notion and GPT-4o |
|---|---|
| Complexity | advanced |
| Nodes | 19 |
| Categories | Document Extraction, AI Summarization |
| Author | Samir Saci |
| Published | 08 Mar 2026 |
Use the JSON export at /data/workflows/13944/13944.json as the source template for this automation.
Open n8n, import the downloaded JSON, and review each node before activating the workflow.
Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.
Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.
Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.
Tags: Logistics, Supply Chain, OTIF, KPI Tracking, Performance Management, AI Analysis, Notion Context Hi! I'm Samir, Supply Chain Engineer, Data Scientist based in P...
Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.
Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Document Extraction, AI Summarization use case.