Automated Size Curves & Size Prepacks

Automated Size Curves, Demand Forecasting, Inbound Planning

The Problem

Accurate size profiles are crucial for fashion retailers: for range decisions, for ordering from suppliers and for first allocation. Too often they are built by hand, with errors, and updated too rarely.

How we solve it

Dataviva Automated Size Curves automates the whole process: it cleans the data, finds size ranges and sub-ranges, and builds the best size curve for each store and channel. Our demand-pattern recognition builds accurate size profiles even for products never sold before and for slow sellers.

Size curves feed assortment and allocation, update as sales come in, and drive prepack optimization at both ends of the flow:

• Buying: in Purchasing & Supplier Collaboration, Dataviva optimizes the prepacks you order from suppliers, using each store’s size curve and the supplier’s pack rules, so what you buy matches what stores need.
• Allocation: Dataviva chooses the pack configurations that best match each store’s size curve and the warehouse’s limits, and decides when to send packs and when to send loose units.

• Takes in sales, attributes, stock and size ranges from your systems or Excel
• Cleans out unrepresentative data and builds size ranges even from messy data
• Statistical and machine-learning models check each curve, discard outliers and pick the most robust one
• Planners can review and adjust curves; prepack configurations follow automatically