Inventory Manager AI Agent

Diamond AI Agents Hackathon
Durgesh Chandra • Founder – Devnox India Pvt. Ltd. | SAP PM Specialist | AI Tools Trainer | Deputy Manager (Plant & Machinery)
Tools: N8N,GMAIL,And Excell Sheet,Calculator,Memory
Description: This setup combines AI + spreadsheets + memory tools to streamline inventory management
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Detailed Description

🚀 Excited to share my latest automation project – Inventory Manager AI Agent!

This setup combines AI + spreadsheets + memory tools to streamline inventory management.

The workflow is designed to:
✅ Answer material inquiries instantly
✅ Track usage site-wise
✅ Manage preventive maintenance schedules
✅ Summarize and group-wise reporting
✅ Perform quick calculations and even code execution

By connecting Google Sheets, memory tools, and AI models, I’ve built a self-reliant assistant that can handle real-time queries on stock, material codes, and usage history — making the role of a storekeeper/inventory manager much smarter and faster.

This is just the beginning of how AI can transform routine maintenance & inventory tasks into fully automated workflows.

🔧 Next steps: Expanding it with advanced analytics & predictive material planning.

💡 Would love to hear — how do you see AI reshaping inventory and maintenance management in your field?

hashtag#AI hashtag#Automation hashtag#SAPPM hashtag#InventoryManagement hashtag#DigitalTransformation hashtag#AIinMaintenance

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Submission Review & Analysis

✨ Summary: The Inventory Manager AI Agent is an automation tool that integrates AI with spreadsheets and memory tools to enhance inventory management efficiency. 💪 Strengths: ✅ Streamlined real-time inventory queries, improving response times for material inquiries. ✅ Comprehensive tracking of usage and maintenance schedules, enhancing operational oversight. ✅ Integration with Google Sheets allows for easy data manipulation and reporting. ✅ Potential for future enhancements with advanced analytics and predictive planning. 🧑‍💻 Gaps / Risks: ✅ Dependence on external tools (Gmail, Google Sheets) may introduce integration challenges. ✅ Limited scalability if the volume of inventory data increases significantly. ✅ Potential for inaccuracies if AI models are not regularly updated or trained. ✅ User interface may require improvement for non-technical users to navigate effectively. 🚀 Actionable Next Steps: ✅ Test the integration with larger datasets to assess performance and scalability. ✅ Develop a user-friendly interface to enhance accessibility for non-technical users. ✅ Implement regular updates and training for AI models to maintain accuracy. ✅ Explore additional features like predictive analytics to further enhance functionality. ✅ Gather user feedback to identify pain points and areas for improvement in the workflow.
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Community Feedback

  • Vasim • 4 months ago
    wow brilliant and most common requirement of all kind of industry.
  • Pooja • 5 months ago
    Absolutely brilliant! 👏 The way you’ve applied AI to streamline routine inventory tasks and turn them into smart, automated workflows is impressive.
  • Gorakh • 5 months ago
    This bot works brilliantly.
  • Ritika • 5 months ago
    Very good and useful Bot
  • Durgesh Chandra • 5 months ago
    Brilliant use of AI for practical operations 👏 Turning routine inventory tasks into smart, automated workflows is a real game-changer! 🚀
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Responses

  4. Pooja September 25, 2025

    Absolutely brilliant! 👏 The way you’ve applied AI to streamline routine inventory tasks and turn them into smart, automated workflows is impressive.

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