供应链预测计划

利用历史数据并使用各种高级统计算法生成供应链预测。

How are the world’s leading supply chain organizations seeing further into the future and acting faster to stay ahead of change? With Anaplan Supply Chain Forecasting software, supply chain professionals can leverage historical data and generate supply chain forecasts using various advanced statistical algorithms.

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世界领先的供应链组织是如何放眼未来并更快地采取行动以保持领先地位的?使用anplan供应链预测软件,供应链专业人员可以利用历史数据并使用各种先进的统计算法生成供应链预测。

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Analyze which algorithm is best for a specific set of data to provide a clear indication of which method is the most accurate to use in the future. Enable more effective Demand Planning with confidence intervals, for a better view into your forecasts and data correlation. Choose from among multiple error measures to select the best model per product/family. Easily analyze the chosen model’s accuracy and bias measures.

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分析哪一种算法最适合特定的数据集,从而明确指出哪一种方法在未来使用时最准确。使用置信区间实现更有效的需求计划,以便更好地查看您的预测和数据相关性。从多个误差测量中选择每个产品/系列的最佳模型。轻松分析所选模型的准确性和偏差措施。


Why Anaplan Statistical Supply Chain Forecasting software?\r\n

 

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万博manbext客户端注册为什么使用anplan统计供应链预测软件?

Use 30 statistical forecasting algorithms\r\n

Use 30 unique statistical algorithms for supply chain planning, including simple exponential smoothing, multiplicative decomposition, Winter’s additive and more.

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使用30种统计预测算法

使用30种独特的统计算法进行供应链规划,包括简单的指数平滑,乘法分解,冬季加法等。


Utilize interactive forecasting dashboards\r\n

Customize forecast algorithm assumptions with an easy-to-use forecasting dashboard. Forecast accuracy measurement with techniques such as mean absolute percentage error (MAPE).

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利用交互式预测仪表板

自定义预测算法假设与一个易于使用的预测仪表板。预测精度测量技术,如平均绝对百分比误差(MAPE)。


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Detect and suggest corrections for outliers\r\n

Quickly identify outliers and exclusions based on user-defined parameters, including standard deviation or the inter-quartile range (IQR).

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检测异常值并提出修正建议

根据用户定义的参数(包括标准差或四分位数间距(IQR))快速识别异常值和排除值。


Leverage seasonality options and more\r\n

Leverage out-of-the box statistical forecasting methods, including methods for seasonality and intermittent demand, and multi-linear regression forecast quantity, price, attach rates, and discounts. Enable the testing of multiple scenarios simultaneously.

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利用季节性选择和更多

利用开箱即用的统计预测方法,包括季节性和间歇性需求的方法,以及多线性回归预测数量、价格、附加率和折扣。启用多个场景同时测试。