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You need to register your account on Alibaba. After account registration you can search your product and each product has many supplier on Alibaba. Then choose a supplier who gives you supply of products with best price offer and reliable too (since in many case there are many fake suppliers from china also registered on Alibaba).You can contact any buyer for cost of the product and various kinds of details about the product. If you want to buy product then you can negotiate with the supplier. Supplier quotes you the price according to its quantity. If you can convince supplier to large order in future, you can get samples at very cheap price.It is suggested to ask for sample product to check the quality, buyer can send you the product sample by courier. Check the sample and then decide about your products. If you are lucky then you can find the same supplier registered on Aliexpress.com (But not all, only a small percentage). It is easier to get samples from http://www.aliexpress.com. However it is good idea to contact supplier on http://www.alibaba.com itself as you can get sample cheaper, using an Import/Export agent. This will also help you build communication with supplier.You must have IEC code to import on your own name. Otherwise you can place Drop shipping order to some trader. to know what is IEC and how to obtain it, check the answer to question, What is import and export code?Air vs Sea. If cargo is small and valuable then air should be used. For bulky and durable cargo shipping via sea will be suitable. If your cargo is only a fraction of cubic meters then Sea route is not an option, Sea route is suitable for durable goods to same money. Smaller shippmnets via sea route are called LCL, these shipments are combined with other shipments.Payment, for payments use letter of credit for payment. This will make sure banks are involved in payment. Never trust a supplier. A single bad shipment can ruin a buisness. Check what is letter of credit here, What is a letter of credit?

To start with, data scientists don’t beat other generalists (actuaries, business analysts, …) in predictive analytics.Instead, they use (somehow) different methods to get good results. These results can outperform those provided by a “other generalists” (as you call them) in these cases:Have access to lots of data that can’t fit into a single computer. In this case, a (good) data scientist will use a computing cluster and will be able to make the model run. An actuary for example might lack the know-how to make such a model work.Try many more approaches since he lacks specialization. Again, an actuary might only try actuarial models (time-series, risk models, and so) but a data scientist will try as many approaches as possible, run them in parallel, and choose the one that gives the best result.In other cases, a data scientist will complement the work of other specialized workers. Some data scientists come from different backgrounds, some of them are retrained actuaries or buisness analysts.Finally, in some cases, the actuary will get a much better model if the data sample is small and the model requires extensive features engineering (these are hard skills to gain).Good luck.

Comparison of churn ratesWould seem to indicate (not that it’s a particularly large sample size) that the churn rate can vary MASSIVELY between buisnesses.