🔄️ AI warehouse inventory cycle count bot using GPT, Telegram and Google Sheets — Workflow n8n

Wysoka złożoność⚡ Wyzwalacz28 węzłów🏷️ Miscellaneous👁 199 wyświetleńautor: Samir Saci

Przegląd

Tags: Logistics, Supply Chain, Warehouse Operations, Paperless Processes, Inventory Management

Context

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

> Let's use AI with n8n to help SMEs digitalise their logistics operations!

Traditional inventory cycle counts often require clipboards, scanners, and manual reconciliation.

With this workflow, the operator walks through the warehouse, sends voice messages, and the bot automatically updates

Użyte węzły

Google SheetsTelegramAI AgentOpenAI Chat ModelStructured Output ParserOpenAI

Podgląd workflow

AI Powered Inventory Cycle Count Telegram Bot
How it works
1. The workflow is triggered whenever an operator sends
2. It checks whether the message is a command or a voic
1. Telegram Trigger and message format check
2. Get all the locations not yet counted
3. Transcribe and parse the operator audio co
4. If the location or the quantity is missing
5. If the location is in the scope of the cyc
7. Get all the locations not yet counted
6. Generate help or error message based on th
8. Generate a customised instruction to go th
Tutorial
@youtube
parsermodel
⚡
T
Telegram Trigger
Transcribe Operator Comm…
Model: Information Extra…
Structured Output Parser
T
Transcription Error
Ask to repeat
Update Inventory Quantity
Error Message: Wrong Loc…
Get Location, Qty
C
Command
Collect Remaining Locati…
Collect Audio
C
Command Selection
Help Message
W
Wait
R
Remaining Locations
N
Number of Locations
L
Last Location ?
C
Combine with Location Re…
Wrong Command
I
Is Audio?
Get Locations to Check
E
Extract Location IDs
M
Merge Transcript With Lo…
I
Is Location in Scope?
Send Instruction: Next L…
Send Instruction: Last L…
F
First Location
28 nodes28 edges

Jak to działa

  1. 1

    Wyzwalacz

    Workflow uruchamia się wyzwalaczem wyzwalacz.

  2. 2

    Przetwarzanie

    Dane przepływają przez 28 węzłów, connecting agent, aggregate, googlesheets.

  3. 3

    Wyjście

    Workflow kończy automatyzację i dostarcza wynik do skonfigurowanego miejsca docelowego.

Szczegóły węzłów (28)

GO

Google Sheets

googleSheets

#1
TE

Telegram

telegram

#2
AI

AI Agent

n8n-nodes-langchain.agent

#3
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#4
ST

Structured Output Parser

n8n-nodes-langchain.outputParserStructured

#5
OP

OpenAI

n8n-nodes-langchain.openAi

#6

Jak zaimportować ten workflow

  1. 1Kliknij przycisk Pobierz JSON po prawej stronie, aby zapisać plik workflow.
  2. 2Otwórz swoją instancję n8n. Przejdź do Workflow → Nowy → Importuj z pliku.
  3. 3Wybierz pobrany plik ai-warehouse-inventory-cycle-count-bot-using-gpt-telegram-and-google-sheets i kliknij Importuj.
  4. 4Skonfiguruj dane uwierzytelniające dla każdego węzła usługi (klucze API, OAuth itp.).
  5. 5Kliknij Testuj workflow, aby sprawdzić, czy wszystko działa, a następnie aktywuj go.

Lub wklej bezpośrednio w n8n → Importuj z JSON:

{ "name": "🔄️ AI warehouse inventory cycle count bot using GPT, Telegram and Google Sheets", "nodes": [...], ...}

Integracje

agentaggregategooglesheetsiflimitlmchatopenaimergeopenaioutputparserstructuredsetswitchtelegramtelegramtriggerwait

Pobierz ten workflow

Pobierz i zaimportuj jednym kliknięciem

Pobierz JSONZobacz na n8n.io
Węzły28
Złożonośćhigh
Wyzwalacztrigger
Wyświetlenia199
KategoriaMiscellaneous

Autor

Samir Saci

Samir Saci

@samirsaci

Tagi

agentaggregategooglesheetsiflimitlmchatopenaimergeopenaioutputparserstructuredset
⚡

Nowy w n8n?

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