The growth and sustainability of a business depends heavily on its ability to meet its customers' demands at the right time and at the right place. It is in the top wish of a business entity to predict as accurate as possible the demands they will get in the future. The amount of its products supply should be made as precise as possible. Too less than meeting the demands will suffer the business revenue stream. Too much will put a lot of burden to the stocks and the storage facility which eventually will increase the cost.

Data analysis can help in the demands predictions based on the previous sales. A well-managed business entity must have kept the supply chain records and the sales record. That big amount of data can be used as a feed to machine learning which in turns will output the products and services demands prediction with greater accuracy. The supply and sales data records normally keep the purchase amount or sales value, types of products and quantity, the types of customers and their names, and the order time. All of them will be used to make a forecast of how many certain products need to be stored and kept ready for shipment. For a manufacturing company, the forecast of product sales will also determine the amount of raw materials and the capacity of manufacturing facilities .

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