https://github.com/mrzstack/sales-prediction-app
Sales Prediction App
https://github.com/mrzstack/sales-prediction-app
Last synced: 10 months ago
JSON representation
Sales Prediction App
- Host: GitHub
- URL: https://github.com/mrzstack/sales-prediction-app
- Owner: mrzstack
- Created: 2025-01-24T07:21:02.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-24T08:40:20.000Z (about 1 year ago)
- Last Synced: 2025-06-01T04:40:23.574Z (10 months ago)
- Language: HTML
- Size: 2.93 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Sales Prediction App
This project is a Shopify app for predicting sales trends using Shopify's API and OpenAI's Language Model (LLM). The app integrates Shopify store data with AI to provide actionable insights into sales patterns and future projections. Below is an overview of the workflow and implementation steps.
## Project Features
- **Shopify API Integration**: Fetch store data like orders, products, and regions.
- **Data Preprocessing**: Clean, normalize, and aggregate data for analysis.
- **AI-Driven Predictions**: Use OpenAI's LLM to predict sales trends based on historical data.
- **Interactive Dashboard**: Visualize predictions and insights using React and Shopify Polaris.
- **Scalable Deployment**: Host the app on AWS, Heroku, or another cloud platform.
---
## Workflow Overview
### 1. Project Setup
- Install Shopify CLI and initialize the app.
- Install required dependencies such as `express`, `openai`, and `@shopify/shopify-api`.
### 2. Authentication and API Setup
- Implement OAuth authentication for secure access to Shopify store data.
- Fetch historical sales data using the Shopify Admin API.
### 3. Data Preprocessing
- Extract key features from sales data, such as dates, sales amounts, and product information.
- Normalize and clean the data to remove inconsistencies.
- Aggregate data by time periods (daily, monthly, etc.).
### 4. LLM Integration
- Set up the OpenAI API for predictions.
- Craft structured prompts to provide sales data context for the model.
- Generate predictions for future sales trends.
### 5. Visualization and UI
- Use React and Shopify Polaris to create an intuitive dashboard.
- Integrate data visualization libraries like Chart.js or D3.js for trend analysis.
- Display predictions and actionable insights.
### 6. Deployment
- Host the app on AWS, Heroku, or another cloud platform.
- Test the app thoroughly and debug as needed.
- Submit the app to the Shopify App Store.
---
## Installation
1. Clone the repository:
```bash
git clone
cd
```
2. Install dependencies:
```bash
npm install
```
3. Configure environment variables in a `.env` file:
```env
SHOPIFY_API_KEY=your_api_key
SHOPIFY_API_SECRET=your_api_secret
HOST_NAME=your_app_hostname
OPENAI_API_KEY=your_openai_api_key
```
4. Run the app locally:
```bash
npm run dev
```
---
## Usage
1. Log in to your Shopify store and install the app.
2. Grant required permissions (e.g., read orders, read products).
3. Access the dashboard to view sales predictions and insights.
---
## Technologies Used
- **Frontend**: React, Shopify Polaris
- **Backend**: Node.js, Express
- **Database**: MongoDB (optional for storing processed data)
- **APIs**: Shopify Admin API, OpenAI API
- **Hosting**: AWS/Heroku
---
## Future Enhancements
- Add support for multiple languages and currencies.
- Enable customization of prediction parameters.
- Incorporate advanced machine learning models for enhanced accuracy.
---
## License
This project is licensed under the [MIT License](LICENSE).