Tinkoff will use a neural network to analyze customer spending and tell you what it thinks about them


Clients of “Tinkoff” will be able to get feedback from the ecosystem about themselves, the press service of the bank said. Reviews will be based on their personal spending and the findings of the neural network.

Tinkoff will use a neural network to analyze customer spending and tell you what it thinks about them

A neural network trained on customer reviews about Tinkoff products and services over 15 years of the company’s operation will generate similar reviews about them.

All testimonials will be styled after real testimonials from Tinkoff clients, which they have ever left on various online platforms and banking forums. Each review is formed individually, based on the user’s transactions.

The feedback generator was prepared in 3 stages:

  • Data on spending was aggregated in categories by amount and number of purchases, by favorite stores and goods. As a result, more than 20 million records were collected, on the basis of which the first part of the review is collected;
  • More than 20 thousand reviews were selected on specialized channels and websites. A neural network was trained on them so that the generated phrases looked like real customer reviews;
  • Each review is structurally divided into two parts. The first is about customer spending, uses pre-recorded messages. The second – from the neural network – is always unique.

Tinkoff will tell you what it “thinks about customers” within the framework of a special project launched on the eve of its 15th anniversary. To participate, you need to leave feedback about Tinkoff’s work on one of five sites: Sravn.ru, Facebook, Instagram, VKontakte or Twitter, and also log in to project website until October 24, 2021.

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Cover photo: Nikita Burdenkov / Shutterstock


Source: RB.RU by rb.ru.

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