Demand Analytics

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课程主页: https://www.coursera.org/archive/demand-analytics

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Welcome!
Predicting Trend
Predicting the Impact of Price and Other Environmental Factors
Predicting Seasonality

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Welcome to Demand Analytics - one of the most sought-after skills in supply chain management and marketing! Through the real-life story and data of a leading cookware manufacturer in North America, you will learn the data analytics skills for demand planning and forecasting. Upon the completion of this course, you will be able to 1. Improve the forecasting accuracy by building and validating demand prediction models. 2. Better stimulate and influence demand by identifying the drivers (e.g., time, seasonality, price, and other environmental factors) for demand and quantifying their impact. AK is a leading cookware manufacturer in North America. Its newly launched top-line product was gaining momentum in the marketplace. However, a price adjustment at the peak season stimulated a significant demand surge which took AK completely by surprise and resulted in huge backorders. AK faced the risk of losing the market momentum due to the upset customers and the high cost associated with over-time production and expedited shipping. Accurate demand forecast is essential for increasing revenue and reducing cost. Identifying the drivers for demand and assessing their impact on demand can help companies better influence and stimulate demand. I hope you enjoy the course!

需求分析:欢迎使用需求分析-供应链管理和市场营销中最受欢迎的技能之一! 通过北美一家领先炊具制造商的真实故事和数据,您将学习用于需求计划和预测的数据分析技能。完成本课程后,您将能够 1.通过建立和验证需求预测模型来提高预测准确性。 2.通过确定需求的驱动因素(例如时间,季节性,价格和其他环境因素)并量化其影响,更好地刺激和影响需求。 AK是北美领先的炊具制造商。其新推出的顶级产品在市场上获得了动力。但是,旺季的价格调整刺激了需求的激增,这使AK完全措手不及,并导致大量的未交货订单。由于客户不满以及加班生产和加急运输带来的高成本,AK面临失去市场动力的风险。准确的需求预测对于增加收入和降低成本至关重要。识别需求驱动因素并评估其对需求的影响可以帮助公司更好地影响和刺激需求。 希望您喜欢本课程!

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