Abstract: A system and method for automatically identifying an anomalous pattern. The method encompasses receiving, a stream of data. The method further comprises determining, a monitoring metric for at least one of one or more dimensions and one or more groups of dimensions associated with the stream of data, at a target time and at a benchmark time period. Further the method comprises identifying, the monitoring metric at the target time as an outlier to the monitoring metric at the benchmark time period based at least on a threshold value. The method further comprises automatically identifying, the anomalous pattern based at least on said identification of the monitoring metric for at least one of the dimension(s) and the group(s) of dimensions at the target time as the outlier to the monitoring metric for at least one of the dimension(s) and the group(s) of dimensions at the benchmark time period.

Abstract: A system and method for automatic optimization of user engagement on a digital platform is provided. The method comprises generating, a set of tokens for a gamified challenge on the digital platform. The method thereafter leads to associating token(s) from the set of tokens with a set of levels of the gamified challenge. Further the method encompasses providing to user(s) via the digital platform, action item(s) at least to enable the user(s) to retrieve token(s) from the set of tokens and to permit the user(s) to transition to a next level from a current level. Further the method comprises determining for each level, a probability of retrieving the token(s) by the user(s). The method thereafter encompasses automatically controlling, a number of users permitted to transition to the next level from the current level based on the determined probability, to automatically optimize the user engagement on the digital platform.

Abstract: A system and method for optimizing cached memory comprising varying degrees of Service Level Agreements (SLA) and Consistency Requirement Grades (CRG). The system receives one or more requests from one or more client devices to store information in a cache memory, and determines degrees of Service Level Agreement (SLA) and CRG in the information received via requests or system configurations. Further, system stores for one-time in cache layer of cache memory, the information as master record, based on determining the degrees of SLA and CRG. Furthermore, the system stores grades of entries of information referencing to the master record in different layers of cache memory. Each of the grades of entries comprises different Time-To-Live (TTL). Thereafter, the system outputs the information stored in the master record to client devices, based on SLA and consistency requirements.

Abstract: The present disclosure relates to a plus shaped packaging paper [100]. The plus shaped packaging paper [100] includes a plus shaped first flat layer [102] of a first paper material and a plus shaped second fluted layer [104] of a second paper material. The plus shaped second fluted layer [104] is attached to the plus shaped first flat layer [102] to form the plus shaped paper packaging paper [100] having a set of adjacent sides. Further, the plus shaped packaging paper [100] includes a set of diagonal cuts [106], wherein each diagonal cut from the set of diagonal cuts [106] is present in between a corner formed by two adjacent sides of the set of adjacent sides.

Abstract: The present disclosure relates to a method and system for determining goodness of pricing initiative on a digital platform. Said method comprises: (1) identifying, by a processor [102], a first set of products that are low churn products, brand rule independent products and competition independent products; (2) pre-clustering, by a clustering unit [108], the first set of products to identify pre-clusters such that the products within a pre-cluster are highly correlated products and products in different pre-clusters are independent of each other; (4) clustering, by the clustering unit [108], the pre-clusters based on predefined parameters to identify clusters; and (5) determining, by the processor [102], the goodness of the pricing initiative based at least on a testing of said pricing initiative based on the one first cluster.

Abstract: The present disclosure relates to a method and system for end-to-end automated speech recognition on a digital platform. Said method comprises: (1) receiving, via a recorder [102], a speech input in a target domain; (2) processing, by a first sub-system [104], the speech input based on a data output from a second sub-system [106] and a pre-trained third sub system [108], wherein the pre-training of the third sub-system [108] is based on a historical audio data in a source domain retrieved from a memory unit [110]; and (3) generating, by the first sub-system [104], a text output for the speech input based on the processing of the first sub-system [104]. The method obtains a low-cost system and method for end-to-end automatic speech recognition with high accuracy.

Abstract: A system and method for providing one or more recommendations. The method encompasses identifying, target feature(s) from a set of features influencing a customer feedback data associated with customer(s) of a digital platform. The method thereafter comprises fine-tuning, a sub-system based on the target feature(s). Further the method encompasses determining, a probability of a promoter rating for the customer(s) based on the fine-tuned sub-system and the customer feedback data. The method thereafter encompasses determining, a contribution of each target feature in the probability of the promoter rating. The method further comprises generating, at least one of a customer insight and a governance parameter, based on the contribution of each target feature in the probability of the promoter rating. Further the method encompasses providing, the one or more recommendations on the digital platform based on at least one of the customer insight and the governance parameter.

Abstract: The present disclosure relates to a method and system for automated optimization of delivery of products to users on a digital platform. Said method comprising: (1) fetching, by a processing unit [102], a location data of the multiple users of the digital platform and a hub location data of one or more hubs of the digital platform, from a memory unit [104]; (2) generating, by a pixel generator [106], a set of one or more geographic pixels from the location data of the multiple users; (3) determining, by the processing unit [102], a set of distance parameters (4) mapping, by a mapping unit [108], the set of one or more geographic pixels with the one or more hubs and (5) determining, by the mapping unit [108], an optimized hub for each subset of geographic pixels.

Abstract: A system and method of predicting a last mile design productivity of a delivery hub. The method comprises predicting: an inter-shipment time for last mile agent(s) of the delivery hub, and a productive on field time in a day for the last mile agent(s). The method thereafter encompasses predicting, a total number of delivery attempts in a day for the last mile agent(s) based on: the predicted inter-shipment time and the predicted productive on field time. Further, the method comprises predicting, a total number of successful deliveries in a day for the last mile agent(s) based on: the predicted total number of delivery attempts in a day, and an average hub conversion data. The method further comprises predicting the last mile design productivity of the delivery hub based on the predicted total number of successful deliveries in a day.

Abstract: A system and method for rendering objects in a virtual/augmented reality environment. The system includes a processor and a memory including a set of instructions. An execution of the set of instructions may cause the processor to render a user environment representative of a 3-Dimensional (3D) map and 3D space position data. The user environment may be rendered on a display device of a user by using a rendering engine of the system. The processor may configure a responsive extended reality (XR) zone within the rendered user environment through a zone engine. The XR zone may be adapted to provision contextually aware information pertaining to one or more virtual features, data, and objects that are dynamically calibrated based on real-time changes in parameters associated with the user environment.

Abstract: A method and system for undertaking a transaction in a Three-Dimensional (3D) interactive environment. The method includes invoking, by a processor associated with a system, from a source application, using a widget, a metaverse environment from a plurality of available metaverse environments, the invocation of the metaverse environment enabling a user to undertake experiential experiments on a plurality of products that form part of the invoked metaverse environment. The method includes selecting one or more products based on the experiential experiments. Further, the method includes processing, by the processor, in the invoked metaverse environment, using a meta-cart checkout engine of the invoked metaverse environment, purchase transaction for the selected one or more products, wherein the meta-cart checkout engine places the selected one or more products into a cart along with transmitting 3D metadata associated with the one or more products to a server.

Abstract: A system and method of placing an order on a digital platform. The method encompasses transmitting to a user device, a payable amount based on a created order. Further the method comprises receiving from the user device, a split pay request to pay the payable amount via a plurality of third-party payment instruments, wherein the split pay request comprises at least a user selected payment share of the payable amount for each of the plurality of third-party payment instruments. The method thereafter comprises initiating, the payment for the payable amount from each of the plurality of third-party payment instruments based on the split pay request and a payment initiation user input. The method further comprises identifying, a successful or an unsuccessful payment of each user selected payment share of the payable amount. Further the method leads to placing, the order based on the identified successful payment.

Abstract: A system and method for determining a competitiveness value for set(s) of substitutable items. The method comprises determining, a relative demand value of each set from the set(s) of substitutable items based on a normalized demand value of said each set of substitutable items determined for each of a plurality of digital platforms. The method thereafter comprises identifying, a first target digital platform for each set of substitutable items, based on a demand weighted average selling price of said each received set of substitutable items for one or more of the plurality of digital platforms. Further, to determine the competitiveness value, the method comprises identifying, a second target digital platform for the set(s) of substitutable items based on the first target digital platform identified for each set of substitutable items and a relative demand value of said each set of substitutable items.

Abstract: The present disclosure relates to a method and system for controlling output characteristics of a media streaming over a media output device. The system [100] comprises a processing unit [102] and a testing unit [104] coupled with the processing unit [102]. The processing unit [102] identifies one or more unused hardware servers from the datacenter hardware, and then selects a first set of unused hardware servers for testing, from the identified one or more unused hardware servers. Further, the testing unit [104] performs one or more tests on the selected first set of unused hardware servers, wherein each unused hardware server from the selected first set of unused hardware servers is in operational state. The system [100] further repeats the steps to perform testing on a second set of unused hardware servers, a third set of unused hardware servers, and so on.

Abstract: A system and method for detecting a fraudulent activity on a digital platform for a current event. The method encompasses receiving, sequence(s) based on an occurrence of the current event. Each sequence comprises time-ordered event(s). Each time-ordered event comprises attribute(s). Further, the method encompasses determining, an occurrence signature for attribute(s) of each sequence. The method thereafter comprises determining, an interim fraud score and/or an interim latent representation of each sequence based at least on the occurrence signature for attribute(s) in the corresponding sequence, one or more attributes in the corresponding sequence, and one or more positional attributes in the corresponding sequence.

Abstract: A system and method of automatic media generation on a digital platform. The method encompasses extracting from a plurality of product contents, a first set of attributes and a second set of attributes. The method thereafter comprises creating, at least one pair of media content(s) and corresponding correlated text content(s) based at least on a successful matching of the first set of attributes with the second set of attributes. Further the method comprises generating, frame(s) based on the at least one created pair of the media content(s) and the corresponding correlated text content(s). The method thereafter encompasses ranking, the one or more frames based on one or more attributes extracted from at least one of a user profile and a product search query. The method further comprises automatically generating, at least one target media on the digital platform based on the one or more ranked frames.

Abstract: A system and method for providing a response to at least one code-mix user query on a digital platform. The method encompasses receiving, by a transceiver unit, the at least one code-mix user query at the digital platform. The method thereafter comprises translating dynamically, by a translation engine, the at least one code-mix user query in a first language based on a pre-trained and fine-tuned sub-system, wherein: the sub-system is pre-trained based on a pre-existing first language corpus, and the sub-system is fine-tuned based on a parallel corpus of one or more pre-existing code-mix user queries. Further the method encompasses identifying and providing, by a response generator, the response to the at least one code-mix user query based at least on the dynamic translation of the at least one code-mix user query.

Abstract: A system and method for generating a set of ordered deployment domains to verify and deploy a change in a plurality of electronic devices' variants. The method encompasses receiving, at a processing unit [102], unordered deployment domain/s. Further the method encompasses identifying, by an identification unit [104], a set of plurality of electronic devices' variants present in each deployment domain of the unordered deployment domain/s. The method thereafter encompasses identifying, by the identification unit [104], a number of electronic devices' variants in each set of plurality of electronic devices' variants. Further the method encompasses ordering, by the processing unit [102], each deployment domain of the unordered deployment domain/s in a specific order based on the identified number of electronic devices' variants in each set of plurality of electronic devices' variants, to generate the set of ordered deployment domains based on the specific order.

Abstract: A customizable electric vehicle and a method of transporting a variable load by the customizable electric vehicle. The customizable electric vehicle comprises a pilot cabin, and one or more customizable payload compartments. At least one customizable payload compartment of the one or more customizable payload compartments comprises: a battery system, configured to provide a power to run one or more units of the at least one customizable payload compartment; a motor system, configured to provide a mobility power to the at least one customizable payload compartment; a braking system, configured to provide a motion controlling power to the at least one customizable payload compartment; and a power management system, configured to manage at least one of the battery system, the motor system and the braking system of the at least one customizable payload compartment.

Abstract: A system and method for predicting a propensity of a user to install one or more non-installed applications. The method encompasses receiving, a first set of applications comprising application(s) installed on a user device and a pre-calculated matrix. The pre-calculated matrix comprises a pre-defined second set of applications comprising of one or more applications, and one or more application characteristics of all applications present in the pre-defined second set of applications. The method thereafter encompasses predicting, a propensity of the user to install the one or more non-installed applications from the one or more applications of the pre-defined second set of applications based on the first set of applications and the pre-calculated matrix.