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Automate Supply Chain Analytics Workflows with AI Agents using n8n
- The article discusses the use of n8n, a low-code platform, to automate supply chain analytics workflows and build AI agents.
- The author initially explored frameworks like LangChain and LangGraph before discovering the power of n8n.
- n8n is an open-source workflow automation tool that allows easy connection between apps, APIs, and AI model frameworks.
- The example provided in the article demonstrates the ease of replicating an AI agent built with Python using n8n with minimal code.
- The AI Supply Chain Control Tower workflow in n8n includes sub-workflows, chat interfaces, AI agents, and SQL querying.
- The process is smooth and requires limited configuration, making it accessible even for individuals with limited Python skills.
- The article highlights that while n8n simplifies automation, Python is not obsolete and can still be valuable for supply chain analytics.
- n8n offers easy connectivity to various services and the flexibility to enhance analytics products by adding additional connections.
- The author, Samir Saci, is a Supply Chain Engineer who focuses on using data analytics to enhance logistics operations and reduce costs.
- For consulting or advice on analytics and sustainable Supply Chain transformation, the author can be contacted via Logigreen Consulting.
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