在Azure的ML销售额prediction [英] Sales prediction in Azure ML
问题描述
我很新天青机器学习的东西，我们的客户使用到一些新鲜的产品销售给商务人士之一。他们有一个建议买入系统，功能将提出一些数量根据客户的销售历史购买。
I am very new to Azure Machine Learning things, one of our client use to sell some fresh products to business people. They have a 'suggested buy' system, a feature will suggest some quantities to buy based on customer's sales history.
客户端来了解微软的Azure ML之后，他们希望使用prediction系统批量建议客户。
After client came to know about Microsoft's Azure ML, they want to use that prediction system to suggest quantities to customers.
我们与这些列销售数据，
We have sales data with these columns,
- 客户名称
- ITEMNAME
- 订购日期
- QuantityPurchased
- QuantitySold
我们希望客户建议数量应使用销售数据来自Azure的ML。
We would like customers have suggested quantity should come from Azure ML using the Sales Data.
有一个人可以请建议我怎么能这样做呢？
Can some one please suggest me how can I do this?
感谢很多提前。
推荐答案
下面是做零售销售预测的通用模板：
Here is the generic template for doing retail sales forecasting:
的https://gallery.cortanaintelligence.com/Collection/Retail-Forecasting-Template-1
下面是pretty很好的出发点正是这类问题的实验 - 的 https://gallery.cortanaintelligence.com/Experiment/Regression-Demand-estimation-4
Here is the experiment that is pretty good starting point for exactly this type of problem - https://gallery.cortanaintelligence.com/Experiment/Regression-Demand-estimation-4
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