JDA Demand Decomposition

Constructing an accurate demand baseline is a difficult task, complicated by promotions, product seasonality and the effect of competing products. JDA Demand Decomposition applies advanced statistical algorithms to differentiate demand resulting from causal factors — such as promotions — from base demand history, providing the foundation for more accurate baseline forecasting and improved localized product availability.

How does it solve your business challenges?

Unless you’re separating promotional effects from base demand, your forecasts are likely marked by fictitious seasonality, leading to frequent overstocks and stock-outs. With the ability to handle frequent and varying promotional tactics and prices, JDA Demand Decomposition enables you to separate the effects of seasonality from promotional lift during seasonal promotions. It also considers demand peaks and valleys due to the halo or cannibalization effects of other products, as well as pre- or post-promotional changes in demand.

What are the benefits?

• Superior forecast accuracy and demand management processes
• Reduced overstocks and out-of-stocks
• Bottom-line inventory cost savings
• Top-line revenue improvement

Why JDA?

JDA Demand Decomposition splits your sales history data into regular time series and marketing/special events components to drive clear visibility into the actual factors driving demand. Regular time series includes trends and seasonality, while the marketing/special events component includes promotions, price fluctuations, halo and cannibalization effects, micro- and macro-market conditions, and unusual events to deliver previously unavailable insight into demand data.

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On Demand Webinars

• Merck Serono: Achieving supply chain excellence
  Utilising advance planning systems to support change and improve supply chain efficiencies
• The Sports Authority Scores Big With Supply Chain Transformation - STORES Magazine Knowledge Series
  Engineering Demand Management, Fulfillment and Merchandise Planning at Sports Authority
• Industrial Equipment Top Performance: Learning from Mitsubishi Caterpillar Forklift America, Inc
• Driving Speed-to-Customer through Integrated Planning and Execution
  The Power of the Connected Retail Enterprise
• Early Value Proposition for Promotional Price Optimization
• Beyond “Pick Best” Forecasting for Supply Chains
  Next Generation Processes for Optimizing Forecast Accuracy
• Beyond “Pick Best” Forecasting for Retailers
  Next Generation Processes for Optimizing Forecast Accuracy
• A Snapshot of Best Practice: A Report on a Study of S&OP
• Driving Your Supply Chain from One View of Demand
  Instituting a Consensus Demand Management Process
• Are You Prepared for Your Customer's Shopping Lists?
  Keys to Developing an Accurate Demand Plan for the Grocery Retailer
• Driving Speed-to-Customer through Integrated Planning and Execution
  The Power of the Connected Retail Enterprise

Collateral

• JDA Make-To-Order (Product Sheets)
• JDA Maintenance, Repair & Overhaul (Product Sheets)
• JDA Procurement Management (Product Sheets)
• JDA Government, Aerospace & Defense Industry Brochure (Solution Brochures)
• Fashion Forward - Longhao (Case Studies)
• Using JDA Demand & Fulfillment to Integrate with Enterprise Planning for a Complete View of Merchandise | Bernardt van Dijk, PEP (Videos/Multi Media)
• Renault: No Time to Spare (Case Studies)
• The Automotive Supply Chain in the New Normal: Analysis of the Industry and its Supply Chain Opportunities (White Papers)
• The Sports Authority Scores Big With Supply Chain Transformation (Videos/Multi Media)
• Providing Customer Engagement with High ROI (Videos/Multi Media)
• Achieving Corporate Goals through Sales Execution (Videos/Multi Media)
• Empowering Stores to Achieve Sales Goals (Videos/Multi Media)
• Creating Positive Customer Shopping Experiences (Videos/Multi Media)
• Today's Empowered Consumer (Videos/Multi Media)