Using neural networks in sales

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Maksudasm
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Joined: Thu Jan 02, 2025 6:45 am

Using neural networks in sales

Post by Maksudasm »

AI has long been used in the field of e-commerce and offline trade. Neural networks are used to personalize and improve customer experience, increase loyalty, and boost sales. This is done by accurately identifying audience segments. Programs are able to imitate the human voice and directly interact with customers.

For example, Google's WaveNet tool can compile audio recordings of human voices and synthesized sounds. As a result, AI generates speech that is almost indistinguishable from real speech. For example, this service is used in many call centers. The voice assistant can call customers, inform them about a product, an open vacancy, and so on. Some tools can also react to the interlocutor's speech and call back at a convenient time for him.

Using neural networks in sales

Let's look at a number linkedin data package of examples of the use of neural networks in various areas of trade.

In online stores

The Amazon marketplace actively uses neural networks for business. Thanks to this, the company increased sales by 35%. AI studies user behavior, their purchases and similar products that would be interesting to them. As a result, the system can create personalized offers.

With this method, the company was able to increase the average check and the number of products added to the basket. There are special services for personalized recommendations. For example, retailrocket and rees46, which can be implemented on all pages of the online store.

Alibaba Group uses artificial intelligence that can generate 20,000 lines of text per second. This neural network was trained on the basis of a huge number of documents written by people. AI is often used to generate product descriptions on Taobao, Tmall, Mei.

The seller only needs to insert a link to the product page and select the result style. After that, the program will generate the product characteristics and create a suitable description in Chinese.

Another effective neural network for business development is PixelDTGAN, which allows companies to save on studio services for placing many photo products on marketplaces. The algorithm takes pictures of the clothes that models wear.

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