Warehouse Opt

Run Analysis

Optimization Progress
Data Preparation
Initial Allocation
Stock Level Optimization
Finalization
0%
Initializing optimization process...
Optimization Results
Total Bins Allocated
0
bins
Warehouse Utilization
0%
of available space
Total Capacity
0
units of storage
Products Allocated
0
products with bins
Stock Duration Distribution
Bin Type Allocation
1. Apriori Algorithm

Analyze order data to find frequently bought-together SKUs.

Lower values find more relationships but may include spurious ones.
Recommended to run first
2. Demand Forecasting

Forecast future demand for SKUs to guide stock replenishment.

Number of days of historical data to use for forecasting.
If checked, will consider all order data regardless of date. If unchecked, will only consider orders within the specified days.
Run after importing order data
3. Space Optimization

Optimize the allocation of SKUs to shelves and bins.

Minimum days of stock to maintain for each product.
Optimal days of stock to aim for each product.
10% 80% 100%
Percentage of the warehouse to fill with products.
If checked, each product will be placed on at most one shelf.
If checked, products won't be placed on both sides of the same shelf.
If checked, each product will be placed in at most one bin per shelf.
Run after Apriori and Forecasting
Analysis Workflow
  1. Run Apriori first to identify product relationships.
  2. Run Demand Forecasting to predict demand for each product.
  3. Run Space Optimization to allocate products to shelves based on relationships and forecast.
The enhanced optimization algorithm:
  • Prioritizes co-purchased SKUs to be placed together
  • Never places the same SKU on both front and back of the same shelf
  • Ensures minimum days of stock are available for each product
  • Can be configured to fill a specific percentage of the warehouse