Revolutionizing Delivery Management Through AI-Powered Solutions
SupplyChainAI is an intelligent chatbot solution designed to address the challenges in modern supply chain and logistics operations. By leveraging advanced technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architecture, and predictive analytics, this tool empowers businesses to enhance efficiency, minimize disruptions, and optimize decision-making.
- Real-Time Processing: Access up-to-date data for faster and more accurate decisions.
- Conversational Interface: Interact using natural language, making it user-friendly for all.
- Predictive Analytics: Optimize inventory and forecast future demands effectively.
- Scalable Architecture: Adaptable for small businesses to large enterprises.
- Data Integration: Centralizes fragmented systems into one unified solution.
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG) Architecture
- Vector Databases
- Natural Language Processing (NLP)
- Predictive Analytics Models
- Document Processing: Adds relevant documents (manuals, reports, etc.) to create a knowledge base.
- Chunking: Splits large text into manageable pieces for efficient processing.
- Embeddings: Converts chunks into vector representations, stored in a vector database like Chroma.
- Query Handling: Accepts user queries and refines them based on chat history.
- Context Retrieval: Extracts the most relevant data from the embedding database.
- Answer Generation: Combines context with the query to deliver accurate responses.
- Python 3.8+
- pip
- git
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Clone the repository:
git clone https://github.com/VaishnaviThakre/SupplyChain-AI.git cd SupplyChain-AI -
Install dependencies:
pip install -r requirements.txt
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Run the application:
python app.py
Demo1.mp4
This project is licensed under the MIT License. See the LICENSE file for details.