Sample data & analysis results
Download sample datasets and their analysis results to understand the data format and see what insights the inventory optimizer provides.
🚀 Hybrid forecasting system
Advanced ML-powered demand forecasting with automatic method selection
🧠 SARIMAX
For continuous demand patterns with seasonality and trends
📊 Croston's Method
For intermittent demand with sporadic sales patterns
⚡ Smart fallback
Rolling mean for edge cases and insufficient data
Try the hybrid forecasting system by uploading your data with exogenous variables
Basic Small Dataset
A clean, small dataset perfect for learning and understanding the inventory optimization process
📥 Input data
27 recordsOriginal inventory data with typical business patterns
📤 Analysis results
Holiday Season Dataset
Seasonal dataset showing how inventory optimization handles holiday demand spikes and seasonal patterns
📥 Input data
18 recordsSeasonal inventory data with holiday demand patterns
📤 Analysis results
Sample Input Dataset
Standard reference dataset used as the baseline for inventory optimization analysis
📥 Input data
27 recordsStandard reference data showing the required input format
📤 Analysis results
Intermittent Demand Scenario
Test scenario with 50-70% zero sales days and sporadic demand spikes - perfect for testing Croston's method
📥 Input data
186 recordsSynthetic intermittent demand data with exogenous variables (holidays, weekends, promotions)
📤 Analysis results
Seasonal Demand Scenario
Test scenario with strong weekly and monthly seasonality patterns - ideal for testing SARIMAX
📥 Input data
186 recordsSynthetic seasonal demand data with weekly/monthly patterns and exogenous variables
📤 Analysis results
Trending Demand Scenario
Test scenario with linear growth/decline trends and seasonal overlay - ideal for testing SARIMAX trend detection
📥 Input data
186 recordsSynthetic trending demand data with linear growth patterns and exogenous variables
📤 Analysis results
Promotional Demand Scenario
Test scenario with random promotional events causing 3-5x demand spikes - perfect for testing SARIMAX with exogenous variables
📥 Input data
186 recordsSynthetic promotional demand data with random 2-3 day events and price discounts
📤 Analysis results
Stockout Demand Scenario
Test scenario with inventory stockout periods causing censored demand - ideal for testing SARIMAX with stockout indicators
📥 Input data
186 recordsSynthetic stockout demand data with inventory = 0 periods and censored sales
📤 Analysis results
Mixed Demand Scenario
Comprehensive test scenario combining all demand patterns - showcases automatic method selection
📥 Input data
186 recordsSynthetic mixed demand data with various patterns and exogenous variables
📤 Analysis results
🧪 Forecasting test scenarios
Test the hybrid forecasting system with these specialized scenarios designed to showcase different demand patterns and forecasting methods:
📊 Intermittent demand
50-70% zero sales days with sporadic spikes
Use Case: Spare parts, seasonal items
🌊 Seasonal demand
Strong weekly and monthly patterns
Use Case: Fashion, holiday items
📈 Trending demand
Linear growth/decline with seasonality
Use Case: Growing products, declining items
🎯 Promotional demand
Random 2-3 day events with 3-5x demand
Use Case: Marketing campaigns, sales events
⚠️ Stockout demand
Inventory = 0 for 3-7 days (censored demand)
Use Case: Supply chain issues, high-demand items
🎲 Mixed demand
Combination of all patterns
Use Case: Real-world scenarios
📥 Download forecast scenarios
These scenarios are available in the dataset groups. Each includes synthetic data with exogenous variables (holidays, weekends, promotions, stockouts) to test the hybrid forecasting system.
Required Data Format
Your CSV file must contain the following columns with the specified data types. Exogenous variables improve forecasting accuracy:
| Column Name | Data Type | Required | Description |
|---|---|---|---|
| date | Date | Required | Transaction date (YYYY-MM-DD) |
| store | String | Required | Store identifier |
| sku | String | Required | Product identifier |
| sales_quantity | Number | Required | Quantity sold |
| inventory_level | Number | Required | Current inventory level |
| unit_cost | Number | Required | Cost per unit |
| selling_price | Number | Required | Selling price per unit |
| lead_time_days | Number | Required | Lead time in days |
| supplier_id | String | Required | Supplier identifier |
| category | String | Required | Product category |
| ordered_date | Date | Optional | Date when order was placed |
| ordered_quantity | Number | Optional | Quantity ordered |
| order_status | String | Optional | Status of the order |
| moq | Number | Optional | Minimum order quantity required by supplier |
| is_holiday | Boolean | Optional | Whether the date is a holiday (improves SARIMAX accuracy) |
| is_weekend | Boolean | Optional | Whether the date is a weekend (improves SARIMAX accuracy) |
| is_promo | Boolean | Optional | Whether there is an active promotion (improves SARIMAX accuracy) |
| is_stockout | Boolean | Optional | Whether inventory is zero (improves SARIMAX accuracy) |
| price_discount | Number | Optional | Discount percentage (0.0-1.0) during promotions |
How to Use Dataset Groups
Download dataset group
Download all files for a dataset group to get both input data and analysis results together.
Compare input vs output
See how the original input data transforms into actionable inventory insights and recommendations.
Format your data
Use the input data as a template to format your own inventory data for analysis.
Ready to Optimize Your Inventory?
Upload your formatted data and start optimizing your inventory management today.