Регламент проверки контрагента в компании
Рассказываем, по каким причинам важно разработать внутренний документ проверки контрагента.
Details
LLC "GLTS "Metallurg-Magnitogorsk"
Republic of Bashkortostan
OGRN: 1050202143177
TIN: 0201008391
Activity ceased on April 29, 2015
Profile views
516
+30 last week
Subscribers
0
+0 last week
Company-related news
5
+1 last week
OKVED 50.20 Total: 11
Maintenance and repair of vehicles
Monitoring Notes Reports Contact information
116,64
mln ₽, 2014
Revenue
+₽19mln
Trust company
LLC "Management company "MMK-Kurort"
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Trust company
LLC "Management company "MMK-Kurort"
9
years
Established
November 22, 2005
village Zelenaya Polyana
116,64
mln ₽, 2014
Revenue
+₽19mln
20
Connections
+0 last week
Employees
No data

Inspections

Finished inspections

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Emercom of Russia - ▒ Federal Service for Surveillance on Consumer Rights Protection and Human Wellbeing - ▒ Federal Migration Service of Russia - ▒ Federal Service for Ecological, Technological and Nuclear Supervision - ▒ Main Directorate for Road Traffic Safety - ▒ Other authorities - ▒

Violations

▒▒▒
Emercom of Russia - ▒

This year

▒▒▒inspections
×
Inspection type
×
Inspection outcome
×
Control authority
×
Finished inspections (18)
* - Settlement date

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Data sources Information about company's scheduled inspections 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's scheduled inspections 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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