Регламент проверки контрагента в компании
Рассказываем, по каким причинам важно разработать внутренний документ проверки контрагента.
Subscription required
Hidden information is available only to subscribed users. Purchase a subscription to get full access to the service.
Buy
Subscription required
Available with the 1-month and 1-year subscription.
LLC "BAZIS-NN"
OGRN: 1035205756805
TIN: 5262113219
Active
Profile views
+10
last week
Subscribers
+0
last week
Trade wholesale the products applied in the medical purposes
Monitoring
Notes
Reports
Contact information
₽1,47
billion, 2023
Revenue
+₽267mln
Director
Alekseev Aleksandr Germanovich
100
Reliability Score
Director
Alekseev Aleksandr Germanovich
22
years
Established
January 16, 2003
City Nizhny Novgorod
₽1,47
billion, 2023
Revenue
+₽267mln
86
Connections
+1
last week
25
Employees
+0
last year
Stats Over Time
| Participation | Total number of cases | For the last year |
|---|---|---|
|
✖
Plaintiff
|
1 case (▒▒▒▒▒ ₽) | 0 cases (▒▒▒▒▒ ₽) |
|
✖
Defendant
|
11 cases (▒▒▒▒▒ ₽) | 1 case (▒▒▒▒▒ ₽) |
|
✖
Third party
|
No cases as third party | |
|
✖
Other party
|
No cases as other party |
Positive outcome — ▒%
▒▒▒▒▒₽
- 0 cases (▒▒▒▒▒ ₽) won
- 0 cases (▒▒▒▒▒ ₽) partially won
- 0 cases (▒▒▒▒▒ ₽) not lost
Negative outcome — ▒▒%
▒▒▒▒▒₽
- 6 cases (▒▒▒▒▒ ₽) lost
- 1 case (▒▒▒▒▒ ₽) partially lost
- 1 case (▒▒▒▒▒ ₽) not won
Type of dispute
%
Administrative
%
Civil
%
Bankruptcy-related
%
Other
Current cases
As defendant (1)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
Completed cases
As plaintiff (1)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
As defendant (10)
Claims amount: ▒▒▒▒▒ ₽
Date/Number
Complexity
Object
Plaintiff
Defendant
Instance
Claim amount
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!
