Sber A (Electronic Trading Platform)

Main article: SCM (Supply Chain Management) - Supply Chain Management (Inventory Management)

2021: Implementation of a decision-making algorithm to evaluate bidders' applications for bank guarantees

Sber on October 15, 2021 announced the introduction of a decision-making algorithm to evaluate bidders' applications for bank guarantees. Innovative technology based on artificial intelligence is implemented on the electronic trading platform Sber A (part of the Sber ecosystem).

The machine learning model, which with high accuracy determines the probability of successful execution of state contracts, was developed on the basis of an analysis of impersonal data on millions of completed contracts posted in the Unified Information System of the Federal Contract System. Now, decisions on the issuance of bank guarantees received at the Sber A site to bidders are made on the basis of the recommendations of this model.

{{quote 'author = said Sergey Bessonov, vice president of Sberbank, director of the division "Credit products and processes." |

The AI model analyzes the parameters of the application in seconds, so we can immediately inform the bidder for the state order of the decision to provide a bank guarantee. At the same time, the probability of failure is much lower than when using classical evaluation methods. In addition, the launch of this technology allowed us to four times increase the limits on the volume of bank guarantees for participants in the state order, }}

{{quote 'author = noted Nikolai Andreev, General Director of Sber A. |

To the known qualities of obtaining bank guarantees at the Sber A site, the main of which are the speed and convenience of design, the introduction of artificial intelligence will allow you to add: a high percentage of approval of applications and large limits,}}