CoupaProductsSupply Chain Design & PlanningDemand Modeler

Sense Market Opportunities

Tap into the power of demand modeling software to feel more confident in your long-term business outlook. Advanced analytics and AI-powered demand predictions help you make optimal decisions for direct spend, capital expenditure, and working capital.

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Get the insight you need for long-term planning

Reveal your true demand drivers

Recognize complex trends and identify the impact of causal factors on your supply chain and finance organizations with the help of AI-fueled demand modeling. Demand Modeler learns from complex demand patterns and does the work for you to find the best data-driven model for your business.

Improve forecast accuracy

Lean back and let state-of-the-art machine learning algorithms sense market demand, drive a new level of strategic forecast accuracy, and help you create future efficiencies, savings, and growth. A highly flexible time horizon allows modelers to predict demand from four weeks to ten years into the future.

Intelligently balance supply and demand

Connect your advanced demand predictions to supply decisions across the enterprise to drive better financial planning and analysis (FP&A). Connect and integrate with both Coupa Network Optimization and Coupa Low-Code Process Builder to sense market demand and drive alignment with finance, supply chain, and procurement.

Latest Resources

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Checklist

Demand Disruption Checklist

Blog

An AI Glossary Guide for Procurement, Finance, and Supply Chain Leaders

E-Book

Continuous Supply Chain Design Outsmarts Disruption: An Imperative for Supply Chain Resiliency

White Paper

White Paper: Risk, Resiliency, and Supply Chain Modeling

FAQs

What specific forecasting problem does Coupa Demand Modeler solve?

To make informed design decisions for the supply chain network, it is crucial to understand long-term forecasts. This includes assessing changes in flows, policies, and revenue projections. Relying solely on simple statistical forecasts or historical extrapolation can be detrimental, as long-term decisions require considering various causal factors such as demand variations across regions, potential cannibalization, channel shifts, and evolving customer service needs. Machine learning is a key technology that helps model long-term demand.

Who is Demand Modeler for?

Demand Modeler is a tool designed for individuals who run supply chain and demand models. It helps to analyze the impact of forecast changes on future supply chain performance so supply chain leaders can make recommendations for ensuring preparedness in various potential scenarios.

What are some examples of scenarios where Demand Modeler might help optimize a supply chain?

Inventory planning, labor planning, and sourcing optimization are just a few areas that benefit from better demand modeling.

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