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Баннер в шапке 1
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Stock Pro

Company

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Owners:
Ilyin-Adaev Philip - 22,5%

Content

Owners

"Drain Pro" is an application for automating the analysis of cars and their sale by spare parts. After entering data on the car, the service lists spare parts indicating important search parameters of the car (body, year, model range). The user only has to enter photos and indicate prices.

If the user cannot determine the price of the spare part, the application will tell its market price using Big Data. The StokVision system will analyze current prices for all spare parts loaded into the application and give recommendations for price correction. The developers list the following advantages of their auto-discharge application:

  • Easy entry of data on spare parts (using machine learning) and their accounting;
  • Percentage of spare parts based on big data and market;
  • Publish ads in classifications and other sites.

History

2021: Attraction of EUR 250,000 investment

In early November 2021, it became known about investing about 250 thousand euros in the Stoke Pro service. The founder of the portal "Банки.ру" and the project MedAdvisorPhilip Ilyin-Adaev invested in the application for auto-distributors. The entrepreneur himself wrote about this on his Facebook page.

According to the Unified State Register of Legal Entities, Ilyin-Adaev received 22.5% in Stok Pro LLC. 22.5% are also listed for founder Artem Potekhin and Yuri Builov, 27.5% for Roman Abramov, 5% for Nina Yurkina (data at the beginning of November 2021).

Russian application for auto collectors attracted 250 thousand euros of investment

Stoke Pro plans to spend the attracted investments on expanding the development team. In addition, the company has outlined the entry into the European market. For a startup, this is the first investment, it is estimated at 1 million euros.

Experts interviewed by Rusbase called the project promising in terms of reducing manual labor and digitalizing business processes. At the same time, the key barriers to growth may be the time of switching from manual or semi-automated solutions, as well as the general reluctance of participants to "whitewash" their operations.[1]

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