♻️ AI multi-stop planner for circular logistics with GPT-4o & Open Route API — n8n ワークフロー

高 複雑度⚡ トリガー25個のノード🏷️ Miscellaneous👁 1,265回閲覧作成者：Samir Saci

概要

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

使用ノード

Google SheetsHTTP RequestGmailCodeAI AgentOpenAI Chat ModelStructured Output Parser

ワークフロープレビュー

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

仕組み

  1. 1

    トリガー

    このワークフローは トリガー トリガーで開始します。

  2. 2

    処理

    データは 25 個のノードを流れます, connecting agent, code, gmail。

  3. 3

    出力

    ワークフローは自動化を完了し、設定された宛先に結果を配信します。

ノード詳細 (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

このワークフローのインポート方法

  1. 1右側の JSONをダウンロード ボタンをクリックしてワークフローファイルを保存します。
  2. 2n8nインスタンスを開き、ワークフロー → 新規 → ファイルからインポート に進みます。
  3. 3ダウンロードした ai-multi-stop-planner-for-circular-logistics-with-gpt-4o-open-route-api ファイルを選択し、インポートをクリックします。
  4. 4各サービスノードの 認証情報（APIキー、OAuthなど）を設定します。
  5. 5ワークフローをテスト をクリックして動作確認し、有効化します。

またはn8nの JSONからインポート に直接貼り付け：

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

インテグレーション

agentcodegmailgmailtriggergooglesheetshttprequestlmchatopenaimergeoutputparserstructuredsetsplitinbatchessplitoutwait

このワークフローを取得

ワンクリックでダウンロード＆インポート

JSONをダウンロードn8n.ioで見る
ノード25
複雑度high
トリガーtrigger
閲覧数1,265
カテゴリMiscellaneous

作成者

Samir Saci

Samir Saci

@samirsaci

タグ

agentcodegmailgmailtriggergooglesheetshttprequestlmchatopenaimergeoutputparserstructuredset
⚡

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n8nは無料のオープンソースワークフロー自動化ツールです。セルフホストまたはクラウド版をご利用いただけます。

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