Storage Strategy Engine
Planning to redesign or open a new facility and don’t know how much space or what type of storage you need? Need to generate a baseline for your operations to better assess automation projects? Is timely and accurate slotting guidance a challenge?
Why not solve all of these issues in minutes?
Step 1: Upload Data
The Storage Strategy Engine requires 3 datasets: SKU master, location-level inventory, and SKU velocity in either order line or summarized datasets
SKU Master:
SKU ID
Unit of Measure
Dimensions (length, width, height)
Location-level Inventory:
SKU ID
Location ID
Location Dimensions (length, depth, height)
Quantity
SKU Velocity - Order line:
SKU ID
Order ID
Date
Unit of Measure
Quantity
SKU Velocity - Summarized:
SKU ID
Unit of Measure
Quantity
Number of days sold in period
Step 2: Set Modeling Parameters
The Storage Strategy Engine is able to model changes in inventory, velocity, and locations across several parameters:
General Parameters:
Pickface days-on-hand requirements
Volume increase factor
Inventory increase factor
Clear height
Max location utilization percent
Minimum quantities in pickface locations
Location Fitting Logic:
Single pickface per SKU
Option to fit SKUs with inventory but without volume to a location
Fit to multiple pickface locations
Fit everything to a pickface, no reserve locations
Pickface Locations:
Only use existing locations
Only use our default library of locations
Use both existing or default library locations
Use custom list of uploaded locations
Reserve Locations:
Only use existing locations
Only use our default library of locations
Use both existing or default library locations
Use custom list of uploaded locations
Use pickface location types
Bay Types:
Use standard bay library
Use custom list of uploaded bay types