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The Hidden Opportunity in AI Workflow Automation with n8n...

How to use n8n with multimodal AI and optimisation tools to help companies with low data maturity accelerate their digital transformation.

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Monday, January 19, 2026 ๐Ÿ“– 2 min read
The Hidden Opportunity in AI Workflow Automation with n8n...
Image: Towards Data Science

Whatโ€™s Happening

So get this: How to use n8n with multimodal AI and optimisation tools to help companies with low data maturity accelerate their digital transformation.

The post The Hidden Opportunity in AI Workflow Automation with n8n for Low-Tech companies appeared first on Towards Data Science. Every day on professional socials, someone claims their โ€œAI agentโ€ will run your entire business while you sleep. (yes, really)

It is as if they can deploy AGI across factories, finance teams, and customer service using their secret n8n template.

The Details

N8n is a low-code automation platform that lets you connect APIs and AI models using visual workflows (Image ) My reality check is that many companies are still struggling to collect and harmonise data to follow basic performance metrics. Logistics Director: โ€œI donโ€™t even know how many orders have been delivered late, what do you think your AI agent can do?

โ€ And these advertised AI workflows, which are often not ready for production, can unfortunately do nothing to help with that. So, I adopt a more pragmatic approach for our supply chain projects.

Why This Matters

Instead of promising an AGI that will run your entire logistics operations, let us start with local issues hurting a specific process. Logistics Director: I want our operators to get rid of papers and pens for order preparation and inventory cycle count. Most of the time, it involves data extraction, repetitive data entry, and heavy admin work using manual processes that are inefficient and lack traceability.

The AI space continues to evolve at a wild pace, with developments like this becoming more common.

Key Takeaways

  • For example, a customer was using paper-based processes to organise inventory cycle counts in its warehouse.
  • Then he walks through the alleys and manually records the number of boxes at each location on a form like the one below.

The Bottom Line

We can (and must) digitalize this process easily! This is what we did with a Telegram Bot using n8n, connected to a GPT-powered agent, enabling voice commands.

Sound off in the comments.

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Originally reported by Towards Data Science

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