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Home » Keywords » Demand Volatility

Items Tagged with 'Demand Volatility'

ARTICLES

Janfeb16 cover sm 54

Demand Planning: Optimizing the Profession in Face of Greater Pressures

March 17, 2016
SupplyChainBrain
Many players have input to the forecasting process, but it is the demand planner who bears the brunt of criticism if a forecast is not quite accurate.
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Forecast demandplanning 07

New Analytical Tools Should Aid CFO in Forecast Accuracy

January 21, 2016
CFO
We're always forecasting - thinking about what will happen, assessing its likelihood, and contemplating the implications. For CFOs, the stakes are especially high when it comes to the difference between accurate and inaccurate forecasts.
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Calming Near-Term Planning Chaos With A Demand Control Process

October 21, 2015
Oliver Wight
Demand Control is a process designed to take chaos out of near-term planning and promote actions that enable companies to profitably meet abnormal demand. The results are better performance and improved working environments.
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Traditional Demand Planning Not as Accurate as Demand Sensing, Report Says

September 22, 2015
Terra Technology
Traditional demand planning systems have reached their limits, with key forecasting metrics remaining essentially flat for the past five years, says Terra Technology's sixth annual Forecasting Benchmark Study.
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Four Mistakes Lead to Mismatches Between Forecasts and Actual Sales

June 24, 2015
CRM Buyer
Sales executives, managers and reps spend countless hours in forecast meetings, yet often find their actual closed revenue falls far from the mark they predicted. With the advanced CRM technology and sales forecasting tools available today, it's a wonder this trend continues.
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Is Demand Planning the Most Misunderstood and Unappreciated Application, Ever?

February 24, 2015
SupplyChainBrain
Analyst Insight: The greatest gap between performance and satisfaction of supply chain applications is in the area of demand planning. The reasons are many, but many are rooted in organizational and processes issues causing many people to throw in the towel too early. – Lora Cecere, Founder of Supply Chain Insights
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Social Media, the Supply Chain and How to Tackle Fast Fashion

January 26, 2015
Bob McKee, Industry Strategy Direction, Fashion, Infor
The holiday season has come to a close, but fashion brands and retailers are still faced with opportunities and challenges after the holiday gift rush. Social media can dramatically increase demand for particular styles and items within minutes or hours (think Pinterest or Instagram).
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Latest Version of Retail Optimization Solution Designed to Eliminate Visibility Challenges

January 15, 2015
Logility Inc.
Logility Inc., a supplier of advanced retail planning and supply chain optimization solutions, has released Logility Voyager Retail Optimization V5.4. This latest release extends the value of an integrated retail and supply chain platform and delivers new merchandise planning views, extended allocation functionality and robust assortment planning capabilities, says Mike Edenfield, president and CEO of Logility.
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Demand Planning, Forecasting Projects Work Best If All Departments Are Involved

January 6, 2015
Industry Today
Demand planning and forecasting projects are popular tactics today for boosting financial results and shareholder value-for good reason. They typically produce one-time and often significant inventory reductions but also higher inventory turns that allow organizations to sustain lower inventory levels over time. The results look great on paper, prompting executives to search for more ways to "optimize" inventory throughout the supply chain.
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Managing Brands Through Effective Supply Chain Management

September 3, 2014
Bill Tomasi, Global Director of Product Management, IBS
From banners to jerseys, flags to face paint, the World Cup illustrated just how important a brand is for firing up fans. As brands come to mean more to everyday consumers, so, too, do the processes – from procurement to distribution – needed to fulfill a brand’s promise.
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More Articles Tagged with 'Demand Volatility'

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