
Leverage AI and Machine Learning
Manhattan Active® Allocation leans into AI and machine learning to calculate your optimal allocation.
Understand What Sizes Sell
Size-optimization algorithms help you align inventory with consumer demand.
Understand Store Clustering
Advanced machine learning groups stores—all the way down to the style/color level.
Understand Prepack Selection
Retail allocation software selects the best prepacks for each store based on expected demand patterns and size optimization.

Meet Demand Across All Channels
Access—and optimize—your entire network of inventory, demand patterns, traditional DC, and store-based fulfillment.
Incorporate Store-Based Fulfillment
Inventory distribution that factors in store-based fulfillment of digital demand.
See Fulfillment Impact
Segmentation of the impact of each store fulfillment on your inventory allocation.
Integrate with Order Management
Real-time integration—via microservice APIs—to Manhattan Active® Order Management for optimal performance or any order management system.

Improve Your Demand Forecasting
Gain a better prediction of demand—even for short lifecycle products like fashion.
Simplified Modeling
Calculate the distinctive demand patterns of short-lifecycle merchandise.
Infused Intelligence
When no demand history is available, machine learning identifies the demand patterns of similar items.
Dynamic Feedback
Use embedded visual analytics to compare the forecast against actual sales.