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