EP3111387A1 - Frühwarnsystem - Google Patents
FrühwarnsystemInfo
- Publication number
- EP3111387A1 EP3111387A1 EP15707098.8A EP15707098A EP3111387A1 EP 3111387 A1 EP3111387 A1 EP 3111387A1 EP 15707098 A EP15707098 A EP 15707098A EP 3111387 A1 EP3111387 A1 EP 3111387A1
- Authority
- EP
- European Patent Office
- Prior art keywords
- predefined
- automatic
- free
- message
- period
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Ceased
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/01—Customer relationship services
Definitions
- the invention relates to a method for the detection of
- the method and system enable early detection of problems and errors in a communication system.
- requests from users of communication services are divided into different groups in order to assign to the respective user a competent contact person depending on the topic of the request.
- the request may e.g. to a certain
- Service a particular terminal, contract details, billing details, or refer to various technical issues or problems.
- the assignment is made possible by offering the user various topics to choose from and he, for example, with the help of a keyboard (for example, "if you have questions about the current rates, choose the 1").
- an audio input of the selection can be done via speech recognition by the user speaks the problem or questions circle associated number or predetermined term in the microphone of each terminal.
- the assignment of the competent contact person is complex and prone to error, since it depends on the choice of the user. This can lead to an excessive burden on the contact persons in the call centers.
- the inquiries will essentially be handled independently by the respective contact persons. As a rule, an accumulation of inquiries can only be determined subsequently with some delay.
- This object is achieved by a method of detecting
- the method comprises the following method steps:
- a core element of the invention is that the analysis is based on free messages from users of the communication services. There is no predetermined conversation, but the user describes in his own words a question or a problem description with respect to a
- the communication service may e.g. paging on a landline or in a mobile network. It may also affect the Internet connection or certain services on the Internet.
- Written, pictorial or other communication by means of wired and / or wireless network technologies is also part of the term
- Communication services includes. Ultimately, any exchange of data or information is through wired and / or wireless
- Network technologies is supported by a communication service offered by, for example, one or more network operators. Messages of any form, for example, received on a hotline of a network operator or in text form, for example as SMS or email at certain service addresses of a A network operator or another service provider can be automatically examined for predefined keywords or phrases.
- Telephone inquiries of the users / customers are e.g. using natural language understanding interactive voice response (NLU IVR) for predefined keywords and / or phrases
- NLU IVR natural language understanding interactive voice response
- texts with text recognition programs can be searched for specific keywords and / or phrases using keywords or phrases
- the topics may include technical and non-technical topics, such as the invoice, the telephone or mobile phone used, the contract, tariff, disruptions, etc.
- the frequency of the keywords is statistically evaluated and compared with reference values.
- an automatic assignment of the free message to a predefined first time period based on the first time of receiving the free message could be advantageous.
- Topic circle takes place. It is thus possible due to the automatic analysis, together with the automatic assignment of the message, the total number of diesbzgl. Determine messages in real time within a specific time period (e.g., the last 30 minutes, hour, etc.) and forward that information to the appropriate contact persons in real time. This can e.g. be used to ensure that no unnecessary and time-consuming individual analyzes of individual queries are performed.
- the contact person can inform the customer who has given the free message, e.g. suggest that he contact him or send a message as soon as the cause of the increased number of inquiries or communications has been clarified.
- the method could comprise the additional steps:
- the contact person will thus be able, by means of the additional information based on his experience, to identify a local accumulation of inquiries concerning one or more topics. It could also be advantageous to automatically carry out at least part of the analysis of the information obtained from the free messages, in order to enable customer care that is largely independent of the experience of the respective contact person.
- the method could thus advantageously have the following additional method steps:
- the comparison value could e.g. comprise an average of the number of free messages for the predefined first period, this average being determined over a predefined second period for the first period.
- the signal could be generated considering a total of free messages per topic circle. In this way, unnecessary signals can be avoided if the total number of messages does not exceed a certain threshold.
- the reference value is e.g. over a period of 60 days for different times of the day. It is e.g. Over 60 days for the period from 12:00 to 13:00, determines how often the keyword "reminder" in queries is called.The average, including standard deviation, is determined and stored as a reference value
- Keyword is determined every 15 minutes for the previous hour (ie at 12:15 for the period from 1 1:15 to 12:15) and the reference value for the last 90 days for the period from 12:00 to 13:00 clock compared. If there are significant deviations accompanied by a significantly high number of requests (e.g., deviation 10 ⁇ from the expected value for 300 queries), an indicator or signal may be generated indicating the problem. Such an indicator or signal may result in a color change of the numbers (e.g., green -> yellow -> red in any fine gradation)
- the reference values are advantageously determined for all other hourly sections of the day, so that a curve for the reference values is obtained over the day.
- the number of free messages is usually less than at noon.
- the reference value usually falls in the evening again.
- weekdays weekday, weekend
- special days such as weekdays. Holidays, as this may affect the benchmarks.
- the curves of the reference values for the different reference areas can be created by means of the automatic evaluation of the distributions over the preselection areas or parts thereof over the day.
- Standard deviations can be determined, requires some statistical Advance votes. For example, a too long period of time with very many events can lead to a very small standard deviation, so that even the smallest
- Deviations would be displayed without a significant event being present (false positive). If the reference period is too short, the
- Period of more than 180 days in this regard can be problematic. Statistically, therefore, the reference values may not be calculated from a second period of time shorter than 30 days, on the other hand the evaluations covering a period of more than 180 days may be taken from the o.g. Reasons but also as problematic
- a first half-hour period of half an hour has proved to be advantageous, adjusting every five minutes (eg 1 1:35 pm to 12:05 pm changes to 12:10 pm to 1 1:40 pm to 12:00 pm)
- the reference value is always calculated over for the same period (eg 1 1:40 pm to 12:10 pm) so that the comparison is made with data synchronously collected for the daytime period also be determined here is preferably 90 days.
- Landline connections the regional assignment, as described above, done via the area code.
- the assignment can be made via the respective mobile radio cell.
- the size of the region is determined by the number of statistically relevant events in the observation period, ie the length of the second period. In this way, the size of the Referenzreg ion is adjusted so that within the second period statistically reliable statements are obtained. In practice, it has been shown that regions determined in Germany by the first three digits of the area code have a sufficient size.
- the cause of the technical problem may also be restricted (“DSL” and “Fault” or “ISDN”). and “intelligibility”). Also, the analysis can be conspicuous
- the indicator or the signal based on the linguistic statistical evaluation thus essentially provides a clue for the determination of the underlying problem without any time delay.
- the signal can also allow the contact persons, without explicit experience, to locate the problem and inform the customer accordingly.
- the information can be collected centrally and analyzed in real time, so that the causes can be searched centrally in a timely manner and the description of the problem and / or the solution to the problem can be found in the case of a recognized problem
- the contact person can be passed on.
- the contact persons are thus enabled in almost real time to react in a targeted manner to messages from users / customers.
- the method may advantageously comprise the additional steps:
- the response message may e.g. generated in response to a free message that is received after the threshold is exceeded, as far as the free message concerns the topic for which the threshold was exceeded.
- the reaction message can be automatically transmitted to the sender of the free message.
- callers can be automatically forwarded to an automatic announcement that calls the keyword "reminder" when it comes to.
- the automatic message may e.g. include that
- the significant deviation and the automatically generated response message can be automatically communicated to the contact persons, so that they recognize that there is probably a central reason for the accumulation.
- the contact person can be informed that the customer has selected forwarding to a contact person after the customer has received the automatic response message. This could allow the contact persons to enter the conversation with the customer adequately.
- the contact persons can briefly check whether the problem with the respective customer is possibly due to another problem or another problem. Should the contact person to the
- the contact person can offer the customer that he will be informed as soon as the reason is found.
- Information may e.g. in an automatic SMS based on the assignment of the keyword.
- Threshold exceedance is responsible. If an error is detected, a message can be sent to the persons concerned, which clarifies the error, so that the diesbzgl. Burden of the contact person in the call center (s) can be proactively reduced. This message may also be forwarded to the appropriate contact person, if necessary. can be marked in a database so that the contact person can not only be informed about the problem but also promptly about the affected users in order to be able to react specifically to corresponding requests from these users.
- the response message can thus be transmitted automatically to one or more control units (for example, the dunning point), which are concerned with the respective topic.
- the control units may be staffed by staff performing a problem analysis in response to the response message.
- the control units may however comprise automatic control and test systems.
- the one or more automatic control and test systems can be configured such that an automatic testing of system components relevant for the respective topic group can be carried out. It could e.g. Threshold values in individual system components
- the outlined procedure can be applied to services, a particular terminal, contract details, billing details or various technical issues or problems.
- This task is further complemented by a system for identifying issues related to communication services.
- the system includes:
- a receiving unit for receiving a free message at a first time, the free message relating to a request for a communication service
- An analysis unit arranged to carry out an automatic analysis of the free message in relation to predefined keywords
- An allocation unit that is set up to perform an automatic assignment of the free message to a predefined topic based on the automatic analysis.
- the allocation unit is advantageously further set up, an automatic
- the analysis unit is advantageously further configured to perform an automatic determination of a number of free messages per predefined topic group received within the predefined first time period.
- the analysis unit is advantageously further configured to automatically determine at least approximately a place of origin of the free message, and the allocation unit is further configured to perform an automatic assignment of the place of origin of the free message to a reference area.
- the analysis unit is advantageously further configured to carry out an automatic determination of a comparison value per predefined subject group for the predefined first time period.
- the analysis unit is further configured to automatically compare the number of free messages per predefined topic circle with the comparison value per predefined one
- the system also has a signaling unit, wherein the signaling unit is set up to automatically generate a signal as a function of a result of the automatic comparison.
- the various units may be formed as separate individual components or be formed as subcomponents of a unitary unit.
- the individual units can thus be e.g. specific processors, microprocessors and memory may be associated or such processors, microprocessors and memory may be associated with multiple units.
- the units may be implemented as hardware or software that are designed to take over the described functionalities.
- the invention further includes a computer program product having computer code means which may be stored in one or more memories of a computer or computer system.
- the computer code means are designed such that the method steps of the claimed and previously described method can be performed on the computer or the computer system.
- FIG. 1 shows a first exemplary embodiment of a method for identifying questions with regard to
- FIG. 2 shows, by way of example, a first representation of various predefined subject areas
- FIG. 3 shows, by way of example, a second representation of various predefined subject areas
- FIG. 4 shows, by way of example, a third representation of various predefined subject areas and the possible signaling.
- FIG. 5 shows a second exemplary embodiment of a method for identifying questions relating to
- Fig. 6 shows an embodiment in which free averaging is determined
- Fig. 7 shows a first embodiment of a system
- Fig. 8 shows a second embodiment of a system. Detailed description of the embodiments
- FIG. 1 shows a first exemplary embodiment of a method for identifying questions with regard to communication services.
- Step 1 10 a free message 705, 805 is received. acoustically or in text form.
- an automatic analysis of the free message 705, 805 takes place with respect to predefined keywords.
- An audible free message 705, 805 is e.g. analyzed with a speech recognition program and a text message with a text recognition program.
- a free message 705, 805 is received. acoustically or in text form.
- an automatic analysis of the free message 705, 805 takes place with respect to predefined keywords.
- An audible free message 705, 805 is e.g. analyzed with a speech recognition program and a text message with a text recognition program.
- Keywords are assigned to the topic group "Invoice” and the acoustic message is assigned to the topic "Invoice”.
- Step 125 is an automatic assignment of the free message 705, 805 at a predefined first time period.
- the previously described acoustic message which is automatically received, for example, as a telephone call, is assigned an input time, for example 14:13, at which the telephone call has arrived. This input time is in turn assigned to a first period of, for example, 14:00 clock to 15:00 clock.
- determination of a number of free messages 705, 805 that have been received in a first time period for a predefined topic group is automatically determined.
- a comparison value per predefined topic group automatically becomes available for the predefined first period
- the comparison value is calculated over a second period of 90 days by determining the number of free entries received in this period between 2 pm and 3 pm for the topic "Invoice"
- method step 140 an automatic comparison of the number of free messages per predefined topic group with the comparison value per predefined topic group for the predefined first period is performed.
- the number of 120 free messages 705, 805 concerning the topic "Invoice", determined for the first period between 14:00 and 15:00, will be compared with that over the second period of 90 days for the period between 14:00 and 15 : 00 clock determined and averaged comparison value of 80 +/- 5 free messages 705, 805 for the topic group "bill" compared.
- Method step 145 then automatically generates a signal 220, 320, 420 in response to a result of the automatic comparison.
- the deviation from 120 to 80 +/- 5 free messages 705, 805 is so large that a signal is generated.
- the signal 220, 320, 420 can be that an automatic message is sent to contact persons in a call center in order to inform them in real time about the current accumulation of free messages 705, 805.
- a signal 220, 320, 420 can be generated automatically in a central collection point via an acoustic and / or visual indicator. The signal can not only be generated at deviation upwards but also at deviations down.
- the accumulation of news on the topic of the invoice could be due to the fact that as a result of a change in accounting, no dunning notices are sent over a certain period of time. This would, for example, by a previous decrease in the number of messages regarding the topic "bill" show, if reminder to a
- the reason for the decrease could be determined in this case, so that for the time from which the reminders are sent again after completion of the conversion, more contact persons in the call center are assigned to this topic. This could help to avoid bottlenecks.
- method step 132 which does not necessarily have to occur after method step 130, an automatic at least approximate determination of an origin location of free message 705, 805 takes place. Based on the area code or parts of the area code, e.g. In the fixed network, the place of origin is approximately determined.
- method step 133 an automatic assignment of the originating location of the free message 705, 805 to a reference area 610 ensues.
- method step 150 it may be advantageous, in method step 150, to carry out the automatic generation of the signal 220, 320, 420 additionally or alternatively as a function of the reference regions 610. That the deviations are detected with respect to the reference regions 610 and the signal is generated only for those reference regions 610 in which a significant deviation from the comparison value for the respective
- Reference area 610 is present.
- Fig. 2 shows by way of example a first representation of various predefined topic circles 210 and the possible signaling with signals 220.
- the topic circles 210 are subdivided into two groups in this exemplary embodiment.
- One group deals with mobile communications and includes topics such as “iphone”, “data”, “tariff” or “disorder”.
- the second group deals with the fixed network and includes, for example, subject areas 210 such as "dsl disorder”, “postponement”, "access data” or “disorder”.
- subject areas 210 such as "dsl disorder", “postponement", "access data” or “disorder”.
- FIG. 2 further shows the number of free messages 705, 805 received per topic group within the first time period.
- FIG. 3 shows, by way of example, a second representation of various predefined subject circuits 310 and the possible signaling.
- Theme groups 310 are also divided into three groups "Destination”, “Detail Product” and “Concern.” Within each of these groups, there are 13 topic groups, each of which displays the number of messages (calls) received during a first period with a signal 320 in the form of
- an automatic response message 855 may be generated, e.g. to control units 861, 862.
- FIG. 4 shows an example of a third representation of various predefined subject areas 410 and the possible signaling.
- Topics in this case refer to products of one
- each topic circle 410 is assigned the relevant number of messages (calls) within a first time period based on certain keywords.
- the result of the comparison is again signaled by the inclusion of gray scale numbers.
- Theme circles 410 may be e.g. by feedback of evaluation results by the contact persons.
- the keywords and their assignment can thus be repeatedly checked and possibly adjusted.
- the respective contact person can e.g. For each request or message forwarded to him, assess whether the assignment was correct.
- the keywords of correct and incorrect assignments can be automatically compared with each other to detect sources of error.
- FIG. 6 shows an embodiment in which free averages 705, 805 are assigned to specific reference regions 610.
- Fig. 6 is a
- Map Germany which are divided into reference areas 610 after the first three digits of the area code. Such a map of Germany can be created for each topic circle 210, 310, 410 or for groups of
- Theme circles 210, 310, 410 as shown in Figures 2-4 (e.g., landline). Further, to the reference areas 610 showing significant deviations, the number of free messages 705, 805 are listed for a first time period. In addition, the associated standard deviation compared to
- FIG. 7 shows a first embodiment of a system 700.
- a free message 705 is received in a receiving unit 710.
- An analysis unit performs an automatic analysis of the free message 705 with respect to predefined keywords, so that an allocation unit 730 can automatically allocate the free message 705 to a predefined topic circle 210, 310, 410 based on the automatic analysis.
- Allocation unit 730 leads to an automatic assignment of the free
- the analysis unit 720 may perform an automatic determination of a number of free messages 705 per predefined topic circle 210, 310, 410 received within the predefined first time period. The analysis unit 720 now compares the number of free messages 705 per predefined topic circle 210, 310, 410 in the first period with a
- Comparison value for the respective predefined topic circle 210, 310, 410 can already be present or currently determined by the analysis unit 720 by means of a present data set. If the analysis unit detects a significant deviation between the number of free messages 705 per predefined topic circle 210, 310, 410 in the first time period and the comparison value for this time period, then by means of a
- Signaling unit 740 generates a signal 220, 320, 420 to signal the deviation.
- the functionality of the receiving unit 810 corresponds to the functionality of the previously described receiving unit 710.
- the analyzing unit 820 is automatically capable of at least approximately originating a free message in addition to the functionalities described with respect to the analyzing unit 720 805, and in addition to the functionalities described with respect to the allocation unit 730, the allocation unit 830 may automatically assign the originating location of the free message 805 to a Perform reference area 610.
- a notification device 850 is used
- Reaction message 855 which is forwarded to a control unit 861, 862.
- the control unit 861 contacted in this case then initiates an automatic error analysis as a function of the topic circle 210, 310, 410 belonging to the signal.
- Reaction message 855 is forwarded only to the control unit 861 when the signal relates to the associated topic circle 210, 310, 410.
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Entrepreneurship & Innovation (AREA)
- Finance (AREA)
- Accounting & Taxation (AREA)
- Educational Administration (AREA)
- Tourism & Hospitality (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Game Theory and Decision Science (AREA)
- Telephonic Communication Services (AREA)
Abstract
Description
Claims
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| DE102014203691.7A DE102014203691A1 (de) | 2014-02-28 | 2014-02-28 | Frühwarnsystem |
| PCT/EP2015/053898 WO2015128357A1 (de) | 2014-02-28 | 2015-02-25 | Frühwarnsystem |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| EP3111387A1 true EP3111387A1 (de) | 2017-01-04 |
Family
ID=52596480
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP15707098.8A Ceased EP3111387A1 (de) | 2014-02-28 | 2015-02-25 | Frühwarnsystem |
Country Status (3)
| Country | Link |
|---|---|
| EP (1) | EP3111387A1 (de) |
| DE (1) | DE102014203691A1 (de) |
| WO (1) | WO2015128357A1 (de) |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8108413B2 (en) * | 2007-02-15 | 2012-01-31 | International Business Machines Corporation | Method and apparatus for automatically discovering features in free form heterogeneous data |
| US20120259891A1 (en) * | 2011-04-11 | 2012-10-11 | David Edoja | Method, system and program for analytics data delivering |
-
2014
- 2014-02-28 DE DE102014203691.7A patent/DE102014203691A1/de not_active Withdrawn
-
2015
- 2015-02-25 WO PCT/EP2015/053898 patent/WO2015128357A1/de not_active Ceased
- 2015-02-25 EP EP15707098.8A patent/EP3111387A1/de not_active Ceased
Non-Patent Citations (2)
| Title |
|---|
| None * |
| See also references of WO2015128357A1 * |
Also Published As
| Publication number | Publication date |
|---|---|
| DE102014203691A1 (de) | 2015-09-03 |
| WO2015128357A1 (de) | 2015-09-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| DE10220524B4 (de) | Verfahren und System zur Verarbeitung von Sprachdaten und zur Erkennung einer Sprache | |
| DE69128852T2 (de) | Automatisierte Aufnahme eines Rechnerssystems in einem Dienstnetzwerk von Rechnersystemen | |
| CN106024015A (zh) | 一种呼叫中心坐席人员监控方法及系统 | |
| DE102011121802B4 (de) | Verfahren und System zur Verwaltung von Kontakten in einem Kontakt-Center | |
| DE102009045187A1 (de) | System und Verfahren zum Kommunizieren mit Telefonagenten in einem automatischen Call Center | |
| US20060188085A1 (en) | Call center study method and system | |
| DE102016102338B4 (de) | Vorhersage von contact-center-interaktionen | |
| CN108460601A (zh) | 客户名单获取方法、装置、终端设备及存储介质 | |
| CN113343058B (zh) | 语音会话监管方法、装置、计算机设备及存储介质 | |
| CN113362210A (zh) | 一种窗口排队服务评价方法、系统及装置 | |
| DE10220521B4 (de) | Verfahren und System zur Verarbeitung von Sprachdaten und Klassifizierung von Gesprächen | |
| DE69531530T2 (de) | Verfahren und Vorrichtung zur Überwachung von mobilen Fernsprechsystemen | |
| DE112020007827T5 (de) | Auswählbare bedienelemente für interaktive sprachantwortsysteme | |
| DE102005027378B3 (de) | Dynamische Priorisierung von Prüfschritten in der Werkstattdiagnose | |
| CN110909148A (zh) | 一种客服辅助方法及装置 | |
| EP1064807B1 (de) | Verfahren zur qualitätsermittlung von mobilgeräten in einem mobilfunknetz | |
| DE102015218262A1 (de) | Datenverarbeitungsanlage und Verfahren für diese zur Zustandsüberwachung einer Mehrzahl an Fahrzeugen | |
| DE10220522A1 (de) | Verfahren und System zur Verarbeitung von Sprachdaten mittels Spracherkennung und Frequenzanalyse | |
| EP3111387A1 (de) | Frühwarnsystem | |
| KR20120010676A (ko) | 고객 서비스 통합 시스템 | |
| DE69128576T2 (de) | Problemverhütung auf einem Rechnersystem in einem Dienstnetzwerk von Rechnersystemen | |
| DE69128575T2 (de) | Flexibles Dienstnetzwerk für Rechnersysteme | |
| US10182149B2 (en) | Method and apparatus to promote adoption of an automated communication channel | |
| CN118690265B (zh) | 一种事故车消息的管理方法、装置、电子设备及介质 | |
| DE10107352B4 (de) | Verfahren und Einrichtung zur Bearbeitung von Reklamationen an Mobiltelefonen |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PUAI | Public reference made under article 153(3) epc to a published international application that has entered the european phase |
Free format text: ORIGINAL CODE: 0009012 |
|
| STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: REQUEST FOR EXAMINATION WAS MADE |
|
| 17P | Request for examination filed |
Effective date: 20160928 |
|
| AK | Designated contracting states |
Kind code of ref document: A1 Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR |
|
| AX | Request for extension of the european patent |
Extension state: BA ME |
|
| DAX | Request for extension of the european patent (deleted) | ||
| STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: EXAMINATION IS IN PROGRESS |
|
| 17Q | First examination report despatched |
Effective date: 20180327 |
|
| REG | Reference to a national code |
Ref country code: DE Ref legal event code: R003 |
|
| STAA | Information on the status of an ep patent application or granted ep patent |
Free format text: STATUS: THE APPLICATION HAS BEEN REFUSED |
|
| 18R | Application refused |
Effective date: 20191104 |