Assortment Optimization
Assortments that maximize relevance, revenue, and margin
TrueGradient’s AI-native Assortment Optimization helps retailers and consumer brands design assortments that reflect local demand, customer preferences, and financial goals not just historical averages.
Assortment Optimization
Designed for Local Demand
Assortments are built using a detailed understanding of how demand varies across locations. So each location carries what customers actually want.
Store clusters and regional differences
Local customer preferences
Channel-specific demand patterns
Smarter Assortment Decisions
TrueGradient evaluates the full assortment impact before decisions are made. This replaces static rules with informed, data-backed choices.
Demand patterns and cannibalization effects
Inventory constraints and availability
Revenue and margin implications
Smarter Assortment Decisions 1
Smarter Assortment Decisions 2
Smarter Assortment Decisions 3
Scenario Based Assortment Planning
Planners can simulate and test assortments before execution.
Compare different product mixes
Evaluate trade-offs between breadth and depth
Understand impact on revenue, margin, and inventory
Scenario Based Assortment Planning
Assortments That Perform Better
With optimized assortments, teams can:
Reduce size and style gaps
Improve sell-through
Lower markdowns
Deliver assortments that delight customers and maximize profitability
Assortments That Perform Better
Get clarity before your next planning cycle
Turn complex demand signals into clear, confident decisions without adding more tools or manual work.
Get clarity before your next planning cycle