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ERP AI chatbot for Odoo sales module

16 nodes · memoryBufferWindow, lmChatOpenAi, toolCalculator, schedule, convertToFile, readWriteFile

Engine
n8n
Nodes
16
Trigger
scheduled/triggered
Source file
1929_Odoo_Schedule_Automate_Scheduled.json

Workflow flow

IntegrationsMemoryBufferWindowLmChatOpenAiToolCalculatorScheduleConvertToFileReadWriteFileOdooAggregateExtractFromFileAgentChainSummarizationLmOpenAi+9 more
100%

Window Buffer Memory

@n8n/n8n-nodes-langchain.memoryBufferWindow

OpenAI Chat Model

@n8n/n8n-nodes-langchain.lmChatOpenAi

Calculator

@n8n/n8n-nodes-langchain.toolCalculator

TRIGGER

Schedule Trigger

Schedule

OpenAI Summarization Model

@n8n/n8n-nodes-langchain.lmOpenAi

TRIGGER

Chat Trigger

@n8n/n8n-nodes-langchain.chat

Get All Opportunities from Odoo

Odoo

Extract Text From File

ExtractFromFile

Merge Opportunities

Aggregate

AI Conversational Agent

@n8n/n8n-nodes-langchain.agent

Summarize Opportunities

@n8n/n8n-nodes-langchain.chainSummarization

Convert to File

ConvertToFile

Read Summary From File

ReadWriteFile

Save Summary to File

ReadWriteFile

If Summary Exists

IF

15 steps · flows top to bottom, branches left to right

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Import into n8n

  1. Download the n8n JSON file (full or sanitized).
  2. In n8n: Workflows → Import from file.
  3. Open each node and reconnect credentials to your accounts.
  4. Test with manual execution before enabling triggers.

Sanitized JSON removes credential IDs — safer for sharing. Flow graph JSON is OpenRuna's lightweight format for diagrams and other tools, not n8n import.

View source corpus ↗

Overview

Free n8n workflow: ERP AI chatbot for Odoo sales module. 16 nodes across memoryBufferWindow, lmChatOpenAi, toolCalculator, schedule, convertToFile, readWriteFile, odoo, aggregate, with a downloadable JSON and a visual flow diagram on OpenRuna.

What this workflow does

Built in n8n, "ERP AI chatbot for Odoo sales module" chains 16 nodes to move data between memoryBufferWindow, lmChatOpenAi, toolCalculator, schedule, convertToFile, readWriteFile, odoo, aggregate. 16 nodes · memoryBufferWindow, lmChatOpenAi, toolCalculator, schedule, convertToFile, readWriteFile Execution begins at the scheduled/triggered trigger and flows through the 16 configured nodes. OpenRuna shows the full flow diagram, an integration breakdown, and a one-click JSON export for n8n's "Import from file". Use it to learn integration patterns, fork it for your own use case, or deploy it quickly after reconnecting credentials.

Use cases

  • Fork it to add error handling, retries, or a notification step without designing the 16-node flow from scratch.
  • Benchmark it against your current memoryBufferWindow integration to spot missing steps or redundant nodes.
  • Study how data moves from memoryBufferWindow to lmChatOpenAi before building your own variant.
  • Share it with your team as a documented reference for scheduled/triggered automations in the memoryBufferWindow stack.

Example output

Imported into n8n, "ERP AI chatbot for Odoo sales module" exposes 16 configured nodes. Trigger type: scheduled/triggered. Integrations: memoryBufferWindow, lmChatOpenAi, toolCalculator, schedule, convertToFile, readWriteFile, odoo, aggregate. Set your credentials on the memoryBufferWindow node, then verify each downstream node picks them up. Run it once in test mode to verify any branch logic (Switch/IF nodes) before enabling production triggers.

Tips by platform

Claude

Ask Claude to turn the "ERP AI chatbot for Odoo sales module" JSON into a plain-English runbook, node by node. It can flag where memoryBufferWindow rate limits or missing retries might bite before you go live.

ChatGPT

Drop the workflow JSON or this OpenRuna page URL into ChatGPT and ask for a step-by-step runbook: triggers, branches, and which fields to customise for memoryBufferWindow, lmChatOpenAi, toolCalculator, schedule, convertToFile, readWriteFile, odoo, aggregate. Handy for onboarding teammates new to n8n.

Cursor

In Cursor, ask Agent mode to parameterise "ERP AI chatbot for Odoo sales module" — extract memoryBufferWindow IDs and secrets into environment variables without changing the 16-node structure.

Frequently asked questions

How do I import "ERP AI chatbot for Odoo sales module" into n8n?
Click Download n8n JSON on this page, then in n8n choose Workflows → Import from file and select the downloaded file. Reconnect credentials on each node — the export carries credential IDs from the original author's instance, not working secrets.
Which integrations does "ERP AI chatbot for Odoo sales module" use?
It uses: memoryBufferWindow, lmChatOpenAi, toolCalculator, schedule, convertToFile, readWriteFile, odoo, aggregate. The flow diagram above shows how each service connects across the 16 nodes. Filter OpenRuna by integration to find related workflows and tools.
Can I import a sanitized export without credentials?
Yes. Use "Download sanitized JSON" to strip credential references before sharing internally. You will still add your own memoryBufferWindow and lmChatOpenAi credentials in n8n after import.
What trigger type does "ERP AI chatbot for Odoo sales module" use?
Trigger type: scheduled/triggered. After import, confirm the trigger node (webhook, schedule, or app event) matches your environment, then activate the workflow when you are ready to run it.
Is "ERP AI chatbot for Odoo sales module" free to use?
OpenRuna catalogs community n8n workflows under open licenses. Check the source corpus link for the original license; commercial use may require verifying the third-party API terms for memoryBufferWindow, lmChatOpenAi, toolCalculator, schedule, convertToFile, readWriteFile, odoo, aggregate.

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