Demand Forecasting
Experience the highest degree of forecasting accuracy with Manhattan Demand Forecasting, powered by machine learning that constantly evolves with network demand.
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Predict Future Need
Automatically Adjust to Demand
Respond to changes in demand trends and demand patterns.
Forecast by Fulfillment Model
Forecast demand levels and demand occurrence frequencies.
Automatically Correct
Filter out non-essential forecast exceptions and self-correct when network-wide demand pattern changes are detected.
Compare Forecast Accuracy
Benchmark accuracy of manual forecast changes against system-maintained demand forecast—complete with audit management of forecast exceptions.
Optimize Customer Order Inventory
Analyze historical order volumes customer by customer and enable customer-centric inventory optimization to provide discrete analysis and optimize demand forecasting.
Understand Demand Impact
Protect the integrity of demand history when exceptional events occur that have a negative impact on forecast accuracy, provide intelligent event-impact analysis, and compute promotional event-lift expectations, based on similar events executed in the past.
Better Promotional Modeling
Promotional modeling helps demand planners unravel concurrent promotional “noise” by using data and machine learning to resolve the underlying causes with context, capability and compromise avoidance.
Better Forecast Producing
Combine forecasting with demand cleansing, seasonal pattern analysis, and self-tuning capabilities to accurately predict demand.
Better Inventory Monitoring
Monitor the health of your organizational inventory investment with at-a-glance performance metrics and data visualizations.
Applied Intelligence
Predicting demand is the first step in any inventory strategy, but even the most consistent-selling item can be difficult to forecast without the right tools to help.
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Agile Demand Views
Ensure a granular view into omnichannel fulfillment strategies by generating and maintaining forecasts via different product and location nodes, any combination of selling channel, and desired fulfillment experience.
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Advanced Exception Management
Leverage sophisticated algorithms, statistical methods, and machine learning techniques to identify, analyze, and respond to forecasting exceptions.
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Automatic Self-Correction
Detect and self-correct destructive seasonal profiles and sub-optimal forecast update frequencies.
KeHE Takes a Fresh Approach to Inventory
Learn how top wholesale food distributor KeHE reduced spoilage and boosted service levels in all 16 distribution centers with Manhattan.
Everything Works Better With Manhattan Solutions
Manhattan offers a complete breadth of solutions that when unified, provides total coverage for your supply chain commerce needs.
Allocation
Reduce product markdowns and stranded items by managing your short-lifecycle inventory more accurately with Manhattan Active® Allocation.
Replenishment
Achieve the perfect balance of inventory, sales, and service levels with Manhattan Replenishment.
Order Management
Manhattan Active® Order Management provides stores with visibility into available inventory held anywhere, supporting endless aisle selling.
Meet Our Partners
We deliver added value through partnerships with these best-in-class vendors.
FAQs
What you’ll need to know about demand forecasting.
Demand forecasting is the process of estimating the quantity of a product that consumers will purchase in a future period and is a critical aspect of inventory planning, as it helps businesses to determine how much inventory to stock, and when to order new products.