SmartSupplyChainOptimizer

The Smart Supply Chain Optimizer, enhances the logistics through predictive analytics. Optimize operations, and increase supply chain resilience with AI-driven insights

Architecture

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Prerequisite

Python 3.x should be installed and available.

1. Installation

1.1 Download this repo

1. Download this repo (https://github.com/ibm-ecosystem-engineering/SmartSupplyChainOptimizer).

2. Let's assume the repository has been downloaded, and available in the location /Users/xyz/SmartSupplyChainOptimizer/src.

   Let's call this as a root folder.

   Don't forget to replace the /Users/xyz/SmartSupplyChainOptimizer/src with your folder structure, wherever we refer in this document.

1.2 Create Python virtual environment

1. Open a new command or terminal window.

2. Goto the repository root folder by running the below command.

   Note: Don't forget to replace the /Users/xyz/SmartSupplyChainOptimizer/src with your folder structure.

   cd /Users/xyz/SmartSupplyChainOptimizer/src
   

3. Create python virtual environment by running the below command.

   python -m venv myvenv
   source myvenv/bin/activate
   

4. Install the required python packages by running the below command.

   python -m pip install -r requirements.txt
   

1.3 Create .env file

1. Create .env file with the below entries (you should be still in the root folder of the repo /Users/xyz/SmartSupplyChainOptimizer )

# Environment variables
LOGLEVEL = INFO

WATSONX_IBMC_AUTH_URL = "https://iam.cloud.ibm.com/identity/token"
WATSONX_CREDENTIALS_URL = "https://us-south.ml.cloud.ibm.com"
WATSONX_API_URL = "https://us-south.ml.cloud.ibm.com/ml/v1/text/generation?version=2023-05-29"
WATSONX_API_KEY = ""
WATSONX_PROJECT_ID = "53302198-522e-49a6-ba45-b445d46db666"
WATSONX_MODEL_ID_TEXT = "ibm/granite-3-8b-instruct"

2. Update the WATSONX_API_KEY property with your data.

They are weather API URL and key.

1.4 Start the Python app

1. Run the below commands to start the app

   python main.py
   

2. Verify the app is working by opening the url http://localhost:3001 in your browser.