How machine learning helps detect counterfeiting

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Machine learning is the ability of an algorithm to work with large data sets, find patterns in them, and constantly learn. Today, such technologies are an integral part of brand protection solutions. For example, with the help of machine learning, you can quickly process a hundred thousand ads for the sale of goods and automatically detect counterfeit products in them. How does it work? We will tell you below.

reviously, counterfeits on the Internet were fought manually. A specialist would sit at a computer and look through ads. He would look for discrepancies: sneakers from a well-known brand, and the price for them was several times lower. Most likely, this is a counterfeit. To regularly review all ads, for example, on Alibaba, it would take several hundred employees. This is very expensive, so ads were checked selectively.

It's slow work, and the reach is always less than the volume of saudi arabia number data counterfeits on the Internet. Counterfeit detection specialists won't work faster, and the quality of their solutions will also remain about the same.

Machine learning is a way to do the same job more efficiently. A neural network learns every time a person tells it: “that’s right” or “no, you’re wrong here.” The scope of automated work is unlimited: today, using machine learning, you can check 100,000 ads, and in a month it will be possible to check a million.

Two thousand ads per day are marked on average by a person, and 300 thousand ads per day are marked on average by an algorithm based on machine learning.

How it works with examples
To identify counterfeits, a machine learning algorithm takes into account many markers. There are several main ones.

Price

Real sneakers worth $1,000 from a well-known brand cannot cost $100, and the algorithm will pay attention to this. It also learns to compare the cost and type of product. Sneakers for $100 are more likely to be fake, a baseball cap for $100 is more likely to be original.

At the same time, the algorithm must understand that the sneakers may be used, in which case $100 is an acceptable price.