Q-AI

     1. Manufacturing Report Q-AI

          This is a program or module capable of performing tasks automatically by combining AI with LLM to process, analyze, and generate reports without requiring manual execution of every step.  By integrating LLMs (such as GPT-5, GPT-4, Claude, LLaMA), the agent gains enhanced natural language analysis and the ability to communicate numerical data in an easily understandable format.  The result is a report that contains not only numbers and charts, but also a human-readable executive summary, insights, and strategic recommendations. 

          For Manufacturing Reports, the AI Agent can Retrieve data from multiple sources (Production Database, ERP)   

          Perform in-depth analysis such as production efficiency (OEE), production volume, and scrap rate

          Present the data in a clear format with charts, tables, and analytical summaries

    2. Technical / Knowledge Support for ERP Applications

          ERP applications contain multiple modules and functionalities such as Purchasing, Sales, Manufacturing, Accounting, and Inventory.

         Users often encounter issues or have questions, for example:

           How to use a specific featur

         Technical problems

1. • Finding manuals and operational procedures

   An AI Agent can act as an automated assistant, retrieving information from manuals, FAQs, logs, or a knowledge base.
   When combined with an LLM, the agent gains the ability to better understand human language, respond naturally, and provide accurate solutions.

   Core Capabilities

   Data Access & Retrieval

   • Pull information from ERP knowledge base, user manuals, and training materials

   • Use Retrieval-Augmented Generation (RAG) to fetch the most up-to-date information

   Automated Troubleshooting

   • Analyze error logs or system alerts

   • Recommend solutions based on knowledge base references

   Task Assistance

   • Provide step-by-step usage guidance (e.g., “How to issue a tax invoice”)

   • Generate API usage examples or SQL queries for administrators

   LLM Integration

   • Convert natural language questions into precise search queries within ERP documentation

   • Handle various question forms (e.g., “How to add a user?”, “Why can’t I approve this PO?”)

   • Understand context (e.g., a question from the sales module → return only relevant information)

   • Adjust responses to suit different user levels (beginner, IT staff, executive)

   • Interact like a chat-based support assistant

   • Remember conversation history to provide continuous, contextual assistance (session memory)

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   3. Data Input Automation through OCR/PDF

   In many organizations, critical information is still stored in paper documents or PDF files, such as:

   • Tax Invoices

   • Receipts

   • Credit/Debit Notes

   Entering this data into ERP/Database systems manually is time-consuming and prone to human error.

   An AI Agent equipped with OCR (Optical Character Recognition) and PDF Parsing can read data from these documents and automatically record it into the system — reducing workload and increasing accuracy.