Welcome to WinStep! Our application is designed to provide comprehensive insights into your inventory management, leveraging advanced machine learning models to optimize your operations.

• Detailed Video STRONGLY RECCOMEND TO WATCH THIS FOR CONTEXT:
• Short Promo Video:

• Download PDF: Available in the GitHub repo
• View Demo Presentation:

• Demo Website:
• Google Colab:

1. Dashboard

   • Overview: Provides a high-level view of your inventory and sales data.
   • Charts and Graphs:
     • Stock Levels: Displays current stock levels of all products.
     • Sales Performance: Shows the sales figures for each product.
     • Shelf Life Distribution: Highlights the remaining shelf life of perishable goods.
     • Trends Over Time: Analyzes changes in stock and sales over a specified period.
   • Interactive Elements:
     • Hover Tooltips: Get detailed information by hovering over data points.
     • Selectable Categories: Filter data by categories for focused insights.

2. Capture & Analyze

   • Image Capture: Use your device to capture product images for analysis.
   • Image Analysis: Analyze captured images to identify product conditions, damages, and more.
   • Machine Learning Models:
     • Gemini LLM: Utilizes natural language processing for advanced data understanding and insights.
     • Custom Trained Model: Our proprietary model trained on specific inventory data to provide tailored predictions and recommendations.

3. Review Data

   • Data Overview: Review all collected and analyzed data in one place.
   • Detailed Insights: Drill down into specific data points for in-depth analysis.
   • Export Options: Export data in various formats for further use.

4. Risk Analysis

   • Risk Prediction:
     • Expiry Risks: Calculates the risk of products expiring based on current stock levels, sales velocity, and days until expiry.
   • Discount Recommendations:
     • Optimal Discounts: Suggests discounts to apply to products at risk of expiring to maximize revenue and minimize waste.
   • Revenue Comparison:
     • Without Discount: Projects potential revenue without any discount.
     • With Discount: Estimates expected revenue after applying recommended discounts, showcasing potential savings.

• Home Page:
  • Introduction: Brief overview of the inventory data.
  • Initial Visualizations: Key charts and graphs summarizing stock and sales.
• Capture & Analyze:
  • Image Capture: Begin capturing and analyzing product images.
• Review Data:
  • Data Insights: Review and analyze detailed inventory data.
• Risk Analysis:
  • Detailed Analysis: Comprehensive look into expiry risks.
  • Recommended Actions: Suggested steps and financial impacts based on analysis.

1. Gemini LLM

   • Overview: A large language model that enhances natural language understanding.
   • Applications: Used for advanced data querying, generating insights from unstructured data, and improving user interactions.

2. Custom Trained Model

   • Overview: A proprietary model trained on specific inventory and sales data.
   • Applications: Provides tailored predictions and recommendations for inventory management, including expiry risk analysis and optimal discount strategies.

• Data Preprocessing: Our models use advanced preprocessing techniques to clean and prepare the data, ensuring high accuracy in predictions and insights.
• Model Training: The custom model is trained using historical inventory and sales data, incorporating features such as product type, stock levels, sales trends, and shelf life.
• Evaluation Metrics: We use metrics like Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and F1 Score to evaluate and fine-tune our models for optimal performance.

Explore more about inventory management, expiry risk analysis, and data visualization with these resources:

• Inventory Management Best Practices
• Expiry Risk Analysis Techniques
• Data Visualization Tips and Tricks