Регламент проверки контрагента в компании
Рассказываем, по каким причинам важно разработать внутренний документ проверки контрагента.
Details
LLC production and commercial company "Oka"
Republic of Tatarstan
OGRN: 1021601371846
TIN: 1639010893
Excluded from EGRUL on June 13, 2017
Profile views
10
+2 last week
Subscribers
0
+0 last week
OKVED2 29.10.2 Total: 19
Production of light vehicles
Monitoring Notes Reports Contact information
Director
Fedorov Vladimir Grigorievich
18
years
Established
March 17, 1999
village Novotroitskoye
Revenue
No data
6
Connections
+0 last week
Employees
No data

Litigation

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Stats Over Time

Participation Total number of cases For the last year
Plaintiff
No cases as plaintiff
Defendant
2 cases (▒▒▒▒▒ ₽) 0 cases (▒▒▒▒▒ ₽)
Third party
No cases as third party
Other party
No cases as other party

Positive outcome — ▒%

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JavaScript chart by amCharts 3.21.1

Negative outcome — ▒%

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JavaScript chart by amCharts 3.21.1

Under consideration — ▒%

▒▒▒▒▒

Undefined — ▒▒▒%

▒▒▒▒▒

Type of dispute

%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
×
Claim amount
×
Type of dispute
×
Outcome of case
×

Completed cases

As defendant (2)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount


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Data sources Information about company arbitration cases is collected from public sources.

Accurate binding to a company can be created only if the information source contains its TIN and OGRN values. If identification details are not specified, the binding is created by using linguistic algorithms. Although these algorithms are being constantly improved, some information may be absent.

If you have noticed an error or lack of information, please let us know about it. Let's improve Seldon.Basis together!

Data sources Information about company arbitration cases is collected from public sources.

Accurate binding to a company can be created only if the information source contains its TIN and OGRN values. If identification details are not specified, the binding is created by using linguistic algorithms. Although these algorithms are being constantly improved, some information may be absent.

If you have noticed an error or lack of information, please let us know about it. Let's improve Seldon.Basis together!

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