XeoPOS is a product designed to keep track of personal or small business finance information and create a variety of different reports. It is also a professional point of sale system that uses Artificial Intelligence neural networks trying to predict your sales. This is important, because when you can forecast your sales numbers - you are able to plan in more efficient way which of your products needs to receive more or less focus in the future. In other words, if the program predicts spike of sales for one of your products, it may be wise to invest more money for ads for this product or simply devote more time and work on it. If on the other hand, the neural nets of the program predict less sales in the future for some of the products you are selling then you may need to rethink your business strategy about said product. Finally the prediction works on all types of products: it doesn't matter if you are selling apps, books, shoes, satellite dishes or milk: it is universal. Please bear in mind that the neural networks cannot guarantee accurate and exact prediction. The program should rather be used as a guideline or academic interest regarding the practical example of artificial intelligence in the ERP environment. We don't guarantee, nor take any responsibility of worse, erroneous predictions. Other than sales forecasts, XeoPOS is something much more than that: At present, 20 different [reports] exist for XeoPOS. XeoPOS also has several [rule sets] that allow user to automatically update their data with additional data useful for a user. XeoPOS has a large number of [filters] that allows a user to filter and view the data in many different ways. XeoPOS supports 7 different time units to [view by] such as view by year, month or week and 14 different time [filters] including all time, last year, all time to last month and more. XeoPOS also allows for automated backups of your data so your are less likely to lose any information.
Requirements:
.NET Framework 3.5
Limitations:
Lack of ability to save data.Lack of option to use the neural networks for sales forecasting
Comments not found