Conduent Business Services, LLC

Xerox Corporation

Conduent Busness System, LLC

Deepthi Chander

Koustuv Dasgupta

Sharanya Eswaran

Nischal Murthy Piratla

Kovendhan Ponnavaikko

Meeralakshmi Radhakrishnan

Tridib Mukherjee

Shruti Kunde

Atul Singh

Ajith Ramanath

Anirban Mondal

Gurulingesh Raravi

Jagadeesh Chandra Bose Rantham Prabhakara

Kuldeep Yadav

Archan Misra

Archana Ramakrishnan

Avantika Gupta

Ashish Garg

Joydeep Banerjee

Sindhu Kiranmai Ernala

Nimmi Rangaswamy

Priyanka Sharma

Mridula Singh

Mark Johnston

The disclosed embodiments illustrate a method and a system for managing crowd-sensed data, associated with events occurring in a geographical area. The method includes receiving crowd-sensed data from one or more data sources, wherein the crowd-sensed data comprises one or more event reports associated with at least a type of each of one or more events reported by the one or more data sources. The method further includes generating a data structure based on an aggregation of the received crowd-sensed data. Further, the method includes determining first information and second information based on at least the generated data structure, a reputation score of each of the one or more data sources and metadata associated with each of the one or more event reports. The method further includes displaying at least the determined first information and second information based on at least a prioritization of the one or more events.

Method and system for managing crowd-sensed data

The present disclosure discloses methods and systems for enhancing shopping experience in physical stores. The method includes receiving at least one persona associated with a user based on one or more of: ethnographic data obtained from a user, demographic data associated with the user, buying behavioral data associated with the user, and social networking data associated with the user. After this, one or more historical activities of the user inside one or more physical stores are received. Also, one or more constraints associated with the user are received. Once received, the at least one persona, the one or more constraints, and the one or more historical activities are analyzed to generate a pre-defined number of personalized recommendations. Finally, the personalized recommendations are displayed to the user within a window of a user interface.

Systems and methods for enhancing shopping experience in physical stores

The disclosed embodiments illustrate methods and systems for generating recommendations for client process execution of one or more client processes corresponding to a plurality of clients of an organization. The method comprises retrieving an event log including event data captured during execution of one or more processes in the organization to service a plurality of clients of a predefined type. The event log is analyzed across the plurality of clients to determine cross-clientele information including a process compliance deviation between an observed and an expected client process execution of the one or more processes. Thereafter, a set of root-causes of the process compliance deviation is determined based on process models of the one or more processes and/or decision rules of the organization. Further, one or more recommendations for the client process execution of the one or more processes of the organization are generated, based on the set of root-causes.

Method and system for generating recommendations associated with client process execution in an organization

The disclosed embodiments illustrate methods and systems for processing customer data to predict behavioral characteristics of a customer in a physical store. The method includes receiving customer data, pertaining to a shopping episode, of the customer from one or more sensing devices. The method further includes segmenting the shopping episode into one or more segments of time durations. The method further includes categorizing each of the one or more segments of time durations into one of an in-aisle category and a non-aisle category. The method further includes identifying hand-related actions of the customer based on the received customer data. The method further includes determining a likelihood of occurrence of an action-related category based on at least the identified one or more hand-related actions. The method further includes predicting the behavioral characteristics of the customer based on at least the determined likelihood of occurrence of the action-related category.

Method and system for predicting behavioral characteristics of customers in physical stores

Embodiments of the present disclosure disclose gateway facilitating document transactions and related methods. Specifically, the disclosure discloses a gateway facilitating document transactions within a third party workflow. The gateway includes a front-end module and a controller. The front-end module is configured for providing one or more interfaces to a user to perform a document transaction, the one or more interfaces being configured for allowing the user to login into a document banking account of the user; displaying one or more documents available in the document banking account of the user; and allowing the user to select one or more documents for the transaction. The controller, interacting with the front-end module, and being configured for authenticating the third party, and the user for the document transaction; and based on the authentication, transferring the one or more documents selected by the user from the document banking account of the user to a document banking account of the third party.

Gateway facilitating document transactions and related methods

A method for facilitating trusted processing of multiple forms for use with a document banking system, comprising: receiving a selection of an Auto-fill option and a form from a computing device, an account holder selects the Auto-fill option, the form including fillable field(s); authenticating the account holder based on login credential(s), the account holder has a document banking account including documents within the banking system; searching a form template for the form in the banking system, the form template including at least one fillable field similar to the fillable fields of the form; extracting a value corresponding to the at least one fillable field, the value being extracted from the document(s) of the account holder; and filling the form by overlaying the extracted value on the fillable field(s) of the form, the filled form being displayed along with a status information for the fillable field(s) at the computing device.

Methods and systems for facilitating trusted form processing

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Cochin, India

Deepthi Chander