♻️ AI multi-stop planner for circular logistics with GPT-4o & Open Route API — n8n 워크플로

높음 복잡도⚡ 트리거25개의 노드🏷️ Miscellaneous👁 1,265회 조회작성자: Samir Saci

개요

Tags*: AI Agent, Supply Chain, Logistics, Circular Economy, Route Planning, Transportation, GPS API

Context

Hi! I’m Samir — a Supply Chain Engineer and Data Scientist based in Paris, and founder of LogiGreen Consulting.

I help logistics teams reduce operational workload and errors by combining AI automation, route optimisation APIs, and workflow automation.

This workflow is part of a circular economy project, where stores return reusable packaging (bins, crates, containers) to a central ware

사용된 노드

Google SheetsHTTP RequestGmailCodeAI AgentOpenAI Chat ModelStructured Output Parser

워크플로 미리보기

3. Record Shipment Request Information and fe
This starts by recording all the information parsed by
1. Workflow Trigger with Gmail Trigger
The workflow is triggered by a new email received in yo
How to setup?
- Gmail Trigger No
2. AI Agent to parse the collection process
This node will analyze the content of the email to extr
4. Reply with a confirmation of shipment allo
We first collect all the information of the sequence of
modelmodelparser
⚡
G
Gmail Trigger
Structured Output Parser
AI Agent Parser
Record Email Content
5
5 sec
Query Open Route API Pic…
Save Pickup GPS
G
GPS Pickup
Collect Coordinates
Request Open Route API
Collect Shipment Informa…
OpenAI Chat Model
AI Agent Reply
Reply
OpenAI Chat Model2
L
Loop Over Items
S
Split by Address
Extract Job
J
Jobs Mapping
Format Jobs
S
Split Jobs
M
Merge Sequence with coor…
F
Format GPS Coordinates
Save Sequence & Duration
Format Schedule
25 nodes26 edges

작동 원리

  1. 1

    트리거

    워크플로는 트리거 트리거로 시작합니다.

  2. 2

    처리

    데이터가 25개의 노드를 통해 흐릅니다, connecting agent, code, gmail.

  3. 3

    출력

    워크플로가 자동화를 완료하고 구성된 대상에 결과를 전달합니다.

노드 세부 정보 (25)

GO

Google Sheets

googleSheets

#1
HT

HTTP Request

httpRequest

#2
GM

Gmail

gmail

#3
CO

Code

code

#4
AI

AI Agent

n8n-nodes-langchain.agent

#5
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#6
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#7

이 워크플로 가져오는 방법

  1. 1오른쪽의 JSON 다운로드 버튼을 클릭하여 워크플로 파일을 저장합니다.
  2. 2n8n 인스턴스를 열고 워크플로 → 새로 만들기 → 파일에서 가져오기로 이동합니다.
  3. 3다운로드된 ai-multi-stop-planner-for-circular-logistics-with-gpt-4o-open-route-api 파일을 선택하고 가져오기를 클릭합니다.
  4. 4각 서비스 노드에 대한 자격 증명（API 키, OAuth 등）을 설정합니다.
  5. 5워크플로 테스트를 클릭하여 모든 것이 작동하는지 확인한 후 활성화합니다.

또는 n8n → JSON에서 가져오기에 직접 붙여넣기:

{ "name": "♻️ AI multi-stop planner for circular logistics with GPT-4o & Open Route API", "nodes": [...], ...}

통합

agentcodegmailgmailtriggergooglesheetshttprequestlmchatopenaimergeoutputparserstructuredsetsplitinbatchessplitoutwait

이 워크플로 가져오기

한 번의 클릭으로 다운로드 및 가져오기

JSON 다운로드n8n.io에서 보기
노드25
복잡도high
트리거trigger
조회수1,265
카테고리Miscellaneous

제작자

Samir Saci

Samir Saci

@samirsaci

태그

agentcodegmailgmailtriggergooglesheetshttprequestlmchatopenaimergeoutputparserstructuredset
⚡

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