Sap Se

Vidhya Neelakantan

Nithya Rajagopalan

Panish Ramakrishna

Rajendra Vuppala

Nishant Kumar

Kumaraswamy Gowda

Erica Vandenhoek

User-generated input is received that includes a sequence of words associated with initiation of a computer-implemented event. Thereafter, such input is parsed using at least one natural language processing (NLP) model. This parsed input is then used by a machine learning model to determine a suggested template having a plurality of fields for initiating the event. The template can then be presented in a graphical user interface. Related apparatus, systems, techniques and articles are also described.

Sourcing object creation from natural language inputs

Aspects of the current subject matter are directed to implementing a distribution scenario in a system. In particular, implementations of the current subject matter provide for a designating client device to create a group of distributing client devices for events among and with a plurality of second client devices. Implementations of the current subject matter further relate to automatic assignment of items among the group of distributing client devices, the assignment based on designating client device-established constraints, and to providing an aggregate view of information related to the automatic assignment of the items to allow the designating client device to manage the items.

Intelligent cosourcing in an e-procurement system

Growing community of inventors

Bengaluru, India

Vidhya Neelakantan