The fashion industry is a very grateful object of this type of machine learning analysis

There are at least a few reasons for this:

• Customers have predictable needs and they make regular purchases – so we have a lot of data to draw conclusions.
• In fact, almost everyone almost always needs some new clothes. The basis for sales success is reaching the right person with the right offer at the right time.
• A major part of customers is not loyal to one store. They could buy more from us, but for various reasons, they choose our competition. Such customers, on the one hand, show that we have made a mistake somewhere, but on the other hand, they represent a huge potential that we can use better by encouraging them to return.
• It is relatively easy to see the logic of purchase decisions made by various groups of customers. Customers’ motivations when buying specific types/categories of clothes or specific price levels products are in most cases clear. We just have to find them and use them.

upsaily is your best online store employee

A shop assistant in clothes store can easily notice and understand the motivations of customers to making up a purchasing decision. Unfortunately, in the case of an online store, where the number of customers and orders is counted in thousands and often hundreds of thousands, while the number products offered also reach hundreds or thousands – no human can deal with reliable analysis and understanding of the needs of individual customer. For machine learning algorithms, finding patterns in set of up to millions of transactions will not be a problem. The patterns found will be used to prepare offers tailored to customers’ needs.

I know it’s worth … and what now?

Black Friday is approaching, which is particularly important from the perspective of the fashion industry. On this occasion, we want to remind customers about our store and we want to offer them specific price cuts. Unfortunately, each of our customers will receive at least a few similar messages from our competitors. Each store will tempt with discounts. How to attract customer and persuade them to get acquainted with our offer and place an order? Let’s provide them with an offer of a product that he would be potentially interested in. Let us use the knowledge hidden in the data that we have been collecting for many years.

Why should I choose upsaily?

Currently, most of the recommendation mechanisms operating for the fashion industry on the Internet present products that are currently fashionable, or those that the client was proviously looking for or watched. We suggest taking into account the entire purchase history of each customer what reflects a long term customer drivers and base ryrchase recommendation on the actual decisions made by customers.