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- Demand_sensing abstract "Demand Sensing is a next generation forecasting method that leverages new mathematical techniques and near real-time information to create an accurate forecast of demand, based on the current realities of the supply chain. The typical performance of demand sensing systems reduces near-term forecast error by 30% or more compared to traditional time-series forecasting techniques. The jump in forecast accuracy helps companies manage the effects of market volatility and gain the benefits of a demand-driven supply chain, including more efficient operations, increased service levels, and a range of financial benefits including higher revenue, better profit margins, less inventory, better perfect order performance and a shorter cash-to-cash cycle time. Gartner, Inc. insight on demand sensing can be found in its report, \"Supply Chain Strategy for Manufacturing Leaders: The Handbook for Becoming Demand Driven.\" The principles of demand sensing apply across industries and to any large company in the supply chain, including manufacturers, retailers or suppliers. Well-known companies that have implemented demand sensing strategies and technologies include Procter & Gamble, Unilever, Kraft Foods, Kimberly-Clark and General Mills.Traditionally, forecasting accuracy was based on time series techniques which create a forecast based on prior sales history and draws on several years of data to provide insights into predictable seasonal patterns. However, past sales are frequently a poor predictor of future sales. Demand sensing is fundamentally different in that it uses a much broader range of demand signals (including current data from the supply chain) and different mathematics to create a more accurate forecast that responds to real-world events such as market shifts, weather changes, natural disasters, consumer buying behavior etc.Companies with large global supply chains tend to benefit most from demand sensing. As such, demand sensing systems must scale to process masses of data associated with hundreds of thousands of items and location combinations every day. The sheer volume, frequency and small processing window require automation and the application of mathematics in a structured way to ensure that results published daily to Supply Chain Planning systems to build, distribute and order products or components are accurate and consistent.".
- Demand_sensing wikiPageExternalLink Unilever-Gets-a-Better-Sense-of-Demand71099.
- Demand_sensing wikiPageExternalLink 20100601-Business-Logistics-ProcterGamble-Article.pdf.
- Demand_sensing wikiPageExternalLink benchmark-study-welcome.
- Demand_sensing wikiPageID "32069811".
- Demand_sensing wikiPageLength "11214".
- Demand_sensing wikiPageOutDegree "15".
- Demand_sensing wikiPageRevisionID "680105563".
- Demand_sensing wikiPageWikiLink Cash_conversion_cycle.
- Demand_sensing wikiPageWikiLink Category:Articles_created_via_the_Article_Wizard.
- Demand_sensing wikiPageWikiLink Category:Demand.
- Demand_sensing wikiPageWikiLink Category:Supply_chain_analytics.
- Demand_sensing wikiPageWikiLink Category:Supply_chain_management.
- Demand_sensing wikiPageWikiLink Exponential_smoothing.
- Demand_sensing wikiPageWikiLink General_Mills.
- Demand_sensing wikiPageWikiLink Joseph_Fourier.
- Demand_sensing wikiPageWikiLink Kimberly-Clark.
- Demand_sensing wikiPageWikiLink Kraft_Foods.
- Demand_sensing wikiPageWikiLink Moores_law.
- Demand_sensing wikiPageWikiLink Procter_&_Gamble.
- Demand_sensing wikiPageWikiLink Supply_chain.
- Demand_sensing wikiPageWikiLink Time_series.
- Demand_sensing wikiPageWikiLink Unilever.
- Demand_sensing wikiPageWikiLinkText "Demand sensing".
- Demand_sensing wikiPageUsesTemplate Template:Orphan.
- Demand_sensing wikiPageUsesTemplate Template:Reflist.
- Demand_sensing subject Category:Articles_created_via_the_Article_Wizard.
- Demand_sensing subject Category:Demand.
- Demand_sensing subject Category:Supply_chain_analytics.
- Demand_sensing subject Category:Supply_chain_management.
- Demand_sensing hypernym Method.
- Demand_sensing type Software.
- Demand_sensing type Analytic.
- Demand_sensing type Redirect.
- Demand_sensing comment "Demand Sensing is a next generation forecasting method that leverages new mathematical techniques and near real-time information to create an accurate forecast of demand, based on the current realities of the supply chain. The typical performance of demand sensing systems reduces near-term forecast error by 30% or more compared to traditional time-series forecasting techniques.".
- Demand_sensing label "Demand sensing".
- Demand_sensing sameAs Q5255050.
- Demand_sensing sameAs m.0gx1w5b.
- Demand_sensing sameAs Q5255050.
- Demand_sensing wasDerivedFrom Demand_sensing?oldid=680105563.
- Demand_sensing isPrimaryTopicOf Demand_sensing.