Abstract: The present disclosure discloses method of assessing performance of a plurality of outlets. The assessment system receives monitored data related to plurality of predefined parameters corresponding to each product category stored in each of plurality of outlets, from sensor cluster. Further, the assessment system determines an ambience score of each product category in each of plurality of outlets based on corresponding monitored data and compliance conditions pre-set for each of plurality of predefined parameters of corresponding product category. Each of the product is associated with one of each of the product category. Thereafter, the assessment system determines compliance assessment score for each of plurality of outlets based on ambience score of each product category of each of plurality of outlets. Furthermore, the assessment system assess performance of each of plurality of outlets based on compliance assessment score.

Abstract: The present disclosure relates to the method and system for identifying a task sequence from interaction stream. Method includes receiving interaction stream related to one or more interactions of user with computing system, one or more events that occurred from one or more interactions. The processed interaction stream is transformed into n-grams. Thereafter, a plurality of potential data candidates is identified for each of n-grams by interpreting corresponding start markers and end markers. Thereafter, method includes transforming each of identified plurality of potential data candidates into corresponding potential data candidate vector, and determining similarity score for each pair of plurality of potential data candidates by comparing each of plurality of potential data candidate vectors of corresponding pair of the plurality of potential data candidates.

Abstract: The present disclosure relates to a method for determining optimal process flow (107) for a process performed by users (101) in a computing system. The method comprises receiving plurality of keystroke level events for each of plurality of process flows associated with the process, performed by plurality of users (101). Further, the method comprises determining one or more subtasks (105) for each of the plurality of process flows (102). A subtask comprises a set of events occurring together in the plurality of keystroke level events (103). Furthermore, the method comprises grouping one or more process flows from the plurality of process flows (102) to form one or more clusters (106), based on the one or more subtasks (105). Each cluster comprises the one or more process flows with similar subtasks. Thereafter, the method comprises determining an optimal process flow (107) in each cluster.

Abstract: The present disclosure relates to method and system for extracting information based on user interactions performed on screen of a computing system. Method includes receiving processed input data comprising video capturing screen and user interactions events occurring from user interactions, and co-ordinate information. Thereafter, computing system determines Regions of Interest (RoI) on screen based on captured user interactions, events and co-ordinate information, and identifies type of user interaction performed with at least one screen element in the RoI, as either keyboard or mouse type interaction. Subsequently, computing system performs one of: determining type of screen element as a text box or a table based on pattern recognition when type of user interaction is identified as keyboard type interaction or determining type of screen element to be selectable User Interface elements and extracting content and label of selectable UI elements, when interaction is identified as mouse type interaction.

Abstract: Disclosed are a system, method and apparatus for classification of data in a machine learning system. In one aspect, a method for classification of data in a machine learning system through one or more computer processors is disclosed. Further, generating, through one or more computer processors, a data classifier using a first dataset and determining an accuracy value of the data classifier to achieve a predefined model accuracy threshold. Still further, iterating, through one or more computer processors, calibration of the first dataset based on a set of parameters until the accuracy value matches or exceeds the predefined model accuracy threshold value. Further, the calibration comprises a user input to indicate a correctness of a presented subset of data from a second dataset and using the above to generate an enhanced data classifier for the classification of data.

Abstract: The present disclosure discloses a method and an object determination system for determining one or more target objects in an image. The image is segmented by the object detection system into one or more segments based on visual attributes in a first set. Morphological operations are performed on the one or more segments to obtain one or more morphed segments. One or more candidates of target objects are identified based on visual attributes in a second set corresponding to each one or more morphed segments. The object determination system identifies at least one of true positive and false positive from the one or more candidates which indicates presence or absence of the one or more target objects respectively, based on neighborhood information associated with the one or more candidates. The present disclosure facilitates in determining target objects in document automatically, thereby eliminating manual intervention in identifying target objects in the document.

Abstract: Methods, non-transitory computer readable media, and resource management apparatuses that assist with sharing an input/output device for process automation on a computing machine includes receiving a plurality of surface automation requests to use an input device or an output device for surface automation. A priority is assigned to each of the received plurality of surface automation requests based on one or more characteristics associated with each of the plurality of surface automation requests. A surface automation request with a highest priority from the received plurality of surface automation requests is identified. An access to use the input device or the output device is provided to the identified surface automation request from the received plurality of surface automation requests.

Abstract: The present invention provides a system and a method for managing a customer contact center. The system includes a one click sign-in module, a client-host, and a control module. The one click sign-in module enables one-click authentication of an agent for logging in to a plurality of applications during a data transaction. The client-host displays the plurality of applications to the agent on a single screen to enable access to critical information related to the data transaction from the plurality of applications. Further, the control module records the critical information of the data transaction for data analysis to manage one or more processes related to the data transaction.