Sugarcrm Inc.

Filipe Guerra

Vladyslav Kulchytskyy

Charles Godewyn

Maria Zolotova

Embodiments of the present invention provide method, system and computer program product for complimentary CRM mobile integration. In an embodiment of the invention, a method for CRM mobile integration includes initially identifying an end user who simultaneously accesses both a CRM application executing in memory of a host computing platform, and also a CRM application agent executing in memory of a mobile computing device that is separate from the host computing platform. The method also includes, thereafter, detecting a request by the end user to access data in the CRM application. Finally, the method includes responding to the detection of the request by selecting an action for the mobile device in a table corresponding to a type of the data in the CRM application, and directing the CRM application in the mobile device to prompt the end user to complete the selected action for the data of the request.

Complimentary customer relationship management (CRM) mobile integration

A method, system and computer program product for privacy assurance in location based services is provided. The method includes receiving a location of a mobile device corresponding to an end user of a multi-user enterprise application. The method additionally includes identifying a valid location of the mobile device that is at least a threshold distance from the received location and that is a public facility. Finally, the method includes presenting the valid location to other end users in the multi-user enterprise application in lieu of the received location.

Privacy assurance in location based services

A method, system and computer program product for touch screen interface utilization during forms generation in a CRM system is provided. The method includes logically subdividing into different discrete portions, a touch screen of a mobile computing device and associating each with a particular record field for a multiplicity of different records in the CRM system. The method also includes selecting a particular one of the different records through the touch screen and receiving handwritten input on the touch screen and converting the handwritten input into computer recognizable text. Thereafter, the computer recognizable text is provided as text input to a field of the selected record corresponding to a portion of the touch screen in which the handwritten input is received. Finally, the method includes generating and displaying in the touch screen a form utilizing the text input of the field of the record in the CRM system.

Structured touch screen interface for mobile forms generation for customer relationship management (CRM)

Embodiments of the invention provide for the automated retrieval of contextual relevant data in an in-person meeting. In an embodiment of the invention, a method for the automated retrieval of contextual relevant data in an in-person meeting includes capturing speech audio in an in-person meeting through a transducer coupled to a personal computing device and speech recognizing the captured speech audio without regard to any speaker of the captured speech audio so as to produce a corpus of speech recognized text. The method also includes parsing the corpus of speech recognized text in order to identify a multiplicity of keywords and mapping the keywords to one or more records of an enterprise application. Finally, the method includes displaying a user interface to the enterprise application in the personal computing device and displaying in the user interface the one or more records.

Meeting assistant

A method for context sensitive user dictionary utilization in text input field spell checking includes associating different text input fields of a user interface of a computer program with either default spell checking or user dictionary utilized spell checking. The method thereafter includes executing the computer program in memory of a computer and receiving text input during the execution of the computer program in one of the different text input fields. It is then determined whether the one of the different text input fields is associated in the memory with default spell checking or user dictionary utilized spell checking. Finally, in response to a determination that the one of the different text input fields is associated in the memory with default spell checking, spell checking is performed using only a main dictionary, but otherwise spell checking is performed using both the main dictionary and also a user dictionary.

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San Jose, CA, United States of America

Filipe Guerra