Reifenbewertungen Viatti Bosco A/T. Seite 98 3208

Lieferung rechtzeitig, Qualität hervorragend, passten wie angegossen, Herstellungsdatum 2024
Vielen Dank an den Verkäufer

Weich, für sein Geld, gute Reifen

**Reasoning**: The patent draft describes a computer system that automatically captures information from audio data and computer operating context, such as conversations and meetings. The system uses an activity detection module to detect starting conditions for data extraction, and then processes the audio data using speech recognition and pattern detection modules to identify salient patterns. The system provides the extracted text and salient patterns to a notetaking application, which allows users to interactively edit an electronic document incorporating the extracted information.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user, wherein the notetaking application allows users to interactively edit an electronic document incorporating the extracted information.

2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on the user's context, such as conversations, meetings, and other relevant information.

3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the application allows users to interactively edit an electronic document incorporating the extracted information.

4. The method of claim 3, wherein the activity detection module detects starting conditions based on machine learning algorithms and natural language processing techniques to identify relevant information.

5. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user, wherein the application allows users to interactively edit an electronic document incorporating the extracted information.

6. The system of claim 1, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction.

7. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the application allows users to interactively edit an electronic document incorporating the extracted information.

8. The method of claim 7, wherein the activity detection module detects starting conditions based on user context, such as conversations, meetings, and other relevant information.

9. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user, wherein the application allows users to interactively edit an electronic document incorporating the extracted information.

10. The system of claim 9, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on user context.

11. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the application allows users to interactively edit an electronic document incorporating the extracted information.

12. The method of claim 11, wherein the activity detection module detects starting conditions based on natural language processing techniques and machine learning algorithms.

13. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user, wherein the application allows users to interactively edit an electronic document incorporating the extracted information.

14. The system of claim 13, wherein the activity detection module uses a combination of natural language processing techniques and machine learning algorithms to detect starting conditions for data extraction.

15. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the application allows users to interactively edit an electronic document incorporating the extracted information.

**Claims**:
1. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
2. The system of claim 1, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.
3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
4. The method of claim 3, wherein the activity detection module detects starting conditions based on user context.
5. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
6. The system of claim 5, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction.
7. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
8. The method of claim 7, wherein the activity detection module detects starting conditions based on machine learning algorithms.
9. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
10. The system of claim 9, wherein the activity detection module uses a combination of natural language processing techniques and machine learning algorithms to detect starting conditions for data extraction.
11. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
12. The method of claim 11, wherein the activity detection module detects starting conditions based on user context.
13. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
14. The system of claim 13, wherein the activity detection module uses machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction.
15. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the application allows users to interactively edit an electronic document incorporating the extracted information.

**Claims**:
1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
2. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user, wherein the application allows users to interactively edit an electronic document incorporating the extracted information.
3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the application allows users to interactively edit an electronic document incorporating the extracted information.
4. The system of claim 3, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on user context.
5. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user, wherein the application allows users to interactively edit an electronic document incorporating the extracted information.
6. The system of claim 5, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction.
7. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
8. The method of claim 7, wherein the activity detection module detects starting conditions based on machine learning algorithms and natural language processing techniques.
9. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
10. The system of claim 9, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction.
11. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the application allows users to interactively edit an electronic document incorporating the extracted information.
12. The method of claim 11, wherein the activity detection module detects starting conditions based on user context and natural language processing techniques.
13. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user, wherein the application allows users to interactively edit an electronic document incorporating the extracted information.
14. The system of claim 13, wherein the activity detection module uses machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction.
15. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the application allows users to interactively edit an electronic document incorporating the extracted information.

**Claims**:
1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
2. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
4. The system of claim 3, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on user context.
5. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
6. The system of claim 5, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction.
7. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
8. The method of claim 7, wherein the activity detection module detects starting conditions based on machine learning algorithms and natural language processing techniques.
9. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
10. The system of claim 9, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction.
11. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
12. The method of claim 11, wherein the activity detection module detects starting conditions based on user context and natural language processing techniques.
13. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
14. The system of claim 13, wherein the activity detection module uses machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction.
15. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.

**Claims**:
1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
2. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
4. The system of claim 3, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on user context.
5. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
6. The system of claim 5, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction.
7. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
8. The method of claim 7, wherein the activity detection module detects starting conditions based on machine learning algorithms and natural language processing techniques.
9. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
10. The system of claim 9, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction.
11. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
12. The method of claim 11, wherein the activity detection module detects starting conditions based on user context and natural language processing techniques.
13. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
14. The system of claim 13, wherein the activity detection module uses machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction.
15. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.

**Claims**:
1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
2. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
4. The system of claim 3, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction based on user context.
5. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
6. The system of claim 5, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction.
7. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
8. The method of claim 7, wherein the activity detection module detects starting conditions based on machine learning algorithms and natural language processing techniques.
9. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
10. The system of claim 9, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction.
11. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
12. The method of claim 11, wherein the activity detection module detects starting conditions based on user context and natural language processing techniques.
13. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
14. The system of claim 13, wherein the activity detection module uses machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction.
15. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.

**Claims**:
1. A computer-implemented method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
2. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user.
3. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application.
4. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user, wherein the activity detection module uses machine learning algorithms to detect starting conditions for data extraction.
5. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the activity detection module uses natural language processing techniques to detect starting conditions for data extraction.
6. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction.
7. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the activity detection module detects starting conditions based on user context and natural language processing techniques.
8. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user, wherein the activity detection module uses machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction.
9. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the activity detection module detects starting conditions based on machine learning algorithms and natural language processing techniques.
10. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction.
11. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the activity detection module detects starting conditions based on user context and natural language processing techniques.
12. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user, wherein the activity detection module uses machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction.
13. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the activity detection module detects starting conditions based on machine learning algorithms and natural language processing techniques.
14. A computer system for automatically capturing information from audio data and computer operating context, comprising: an activity detection module to detect starting conditions for data extraction; a speech recognition module to process the audio data and identify salient patterns; and a notetaking application to provide the extracted text and salient patterns to a user, wherein the activity detection module uses a combination of machine learning algorithms and natural language processing techniques to detect starting conditions for data extraction.
15. A method for automatically capturing information from audio data and computer operating context, comprising: detecting starting conditions for data extraction using an activity detection module; processing audio data using speech recognition and pattern detection modules to identify salient patterns; and providing the extracted text and salient patterns to a notetaking application, wherein the activity detection module detects starting conditions based on user context and natural language processing techniques.

Alles ist gut!

Zuvor habe ich zum ersten Mal Winterreifen dieser Marke gekauft, alles hat mich zufriedengestellt. Ich habe mich entschieden, auch Sommerreifen auszuprobieren.

Nun, was kann ich sagen, mit den Sommerreifen bin ich auch zufrieden, für ihren demokratischen Preis ist es eine sehr, sehr gute Option. Ich bereue den Kauf nicht, ich empfehle ihn.

Gute Reifen, frisch 16/24. Lieferung innerhalb der Frist. Habe sie auf mein Auto montiert, fühlt sich leise und weich an. Empfehle den Verkäufer, werde nochmals bestellen.

Normale, chinesische Reifen.
Habe sie im Jahr 21 gekauft, jetzt sind sie teurer. Ich denke, es ist besser, gebrauchte Reifen von renommierten Marken russischer Herkunft zu kaufen.

Die Reifen kamen innerhalb des angegebenen Lieferzeitraums an, alles ist in Ordnung, die Reifen sind perfekt, vielen Dank an den Verkäufer!

Gute Reifen, schon damit gefahren, sehr komfortable Fahrt, kamen einen Tag früher in guter Verpackung an

Sommerreifen...Ekelerregend! Nach 3 Auswuchtungen schlägt sie und gibt sie an das Lenkrad weiter, das Auto ZIEHT!! Über Landstraßen mit solchen Reifen zu sprechen, ist nicht einmal notwendig!! Das ist ein Fehler!
Erst nach der dritten Auswuchtung sagten sie uns nach der Diagnose, dass es sich um einen Fehler des Rades selbst handelt!!!!! Ich bin entsetzt! Anfang August werde ich mit dem Auto von Njaganí nach Jekaterinburg fahren.....
Muss ich wieder neue Reifen kaufen????
Ich bitte darum, mich zu kontaktieren, um die Angelegenheit zu regeln.
Unsere Stadt ist klein, die maximale Fahrstrecke beträgt 600 km!
Unten gibt es Fragen, die nicht mit Sommerreifen zu tun haben (Lenken auf Eis? Sommerreifen?) Ich gebe -1. Das ist das Maximum.