Abstract: The present invention provides a robust and effective solution to an entity or an organization by enabling maximization of the utilization of machine resources by predicting future load on API based on different calendar events. The results obtained can be used by an organization for optimization and smooth allocation of the resources accordingly. The method further enables prediction of API execution time with respect to input data size and aiding in better planning of resources to keep up SLAs for APIs.

Abstract: The present invention provides a robust and effective solution to an entity or an organization by enabling them to implement a system for that provides a one-stop template-based system and method for optimization solutions in supply chain, distribution network, services, scheduling and delivery systems. The system enables business decision makers, planners and other non-technical users in designing their optimization use case, choosing the constraints, identifying the variables and methods, and executing the problem to obtain the solution. A user interface associated with the system can be deployed in the cloud. A user needs to choose a set of attributes such as pre-defined template, select the necessary constraints, choose the type of formulation and the tool and then upload the data in the predefined templates. Once uploaded, the user can submit the set of attributes to execute the system and obtain the results in a dashboard associated with the system.

Abstract: The present invention provides a robust and effective solution to an entity or an organization by developing a complete suite for management of many APIs enabling a user to create an API (Application Programming Interface) for a platform and enabling at least one other user to use a created API for this platform. Embodiments herein disclose a system which complies with component-based and service-oriented concepts of API architecture, and by providing next generation tools and libraries for open-standards based multi-channel application development by automated generation of APIs and interactive consumption of the APIs via one single portal for performing functionalities such as documentation, execution, flow batching of APIs, onboarding new APIs and creating a competitive marketplace for APIs.

Abstract: The present invention provides a robust and effective solution to an entity or an organization by enabling maximization of the utilization of machine resources by optimally allocating the tasks such as application programming interfaces (APIS) in the queue using a set of predetermined instructions. The method further enables finding the number of machines in order to fulfil a cumulative service-level agreement (SLA) of the APIs in the queue using heuristics and the set of predetermined instructions.

Abstract: The present disclosure generally relates to profit optimization, and more particularly to methods and systems for profit optimization for an online/offline retail/wholesale category. Profit optimization includes demand forecasting, inventory planning, assortment planning, discount recommendation, price optimization, revenue optimization, and profit optimization in the online/offline retail/wholesale category. The method of profit optimization includes a hierarchical demand forecasting of products by using a stacked Long- and Short-Term Memory (LSTM) neural network architecture. Further, the method includes a quantification of price-demand causal effects and inter-product cross-causal effects using an eXtreme Gradient Boosting (XGBoost) technique. The method further includes a simulation of an effect of discount on a demand of products, and recommendation of an optimal discount using a non-linear optimization technique.

Abstract: Present disclosure generally relate to stock re-estimation, particularly relates to methods and systems for re-estimating stock and simulating demand, due to price drop in online/offline wholesale/retail products/appliances. System receives attribute data, business context data, price change data, historical sales data, store related data, inventory data, discount data, input plan data as input. System performs feature engineering on input data to extract data latent variables, calendar features, demographics data, derived variables, web extracted data. System performs operations such as price causal, sales forecast, Price Segment (PS) causal, and output data at DC level and determines delta change, multiplication factor, price segment distribution from output data at site level.

Abstract: The present disclosure generally relates to producing, transporting, distributing, and storing hydrogen fuel, more particularly to system and method for optimizing supply chain of hydrogen distribution network. A centralized server triggers production facility to produce gas/liquid Hydrogen. Centralized server stores at storage facility in hydrogen cylinders, produced gas/liquid Hydrogen, in Liquid Organic Hydrogen Carrier (LOHC) molecule, based on hydrogenation of chemicals. Centralized server transmits instructions for transporting hydrogenated LOHC molecule in tanker trucks, from production facility to depots, and dehydrogenates at depots, hydrogenated LOHC molecule to release hydrogen at low pressure. Centralized server compresses, at depots, released hydrogen, and fill compressed hydrogen in high-pressure tube trailers/flat-bed cylinder cascades.

Abstract: A system and method for prediction of failures and optimization, that can provide solution available for unsupervised learning models based on limited data that can predict different types of failure and pre-failure instances. The solution provides improvement upon previous methods of labelling by marking certain days data ahead of failure as belonging to failure data which will result in reduction of noisy data and improves good working condition data. The present invention helps with improved data quality due to labelling as the proposed method models complex distributions of feature vectors accurately and are better at finding deviations from normal data distribution which is used for detecting failures. The novel solution help to analyse and categorise the type of failures for PC Pumps currently deployed in CBM Fields for which failure days in advance can be predicted.

Abstract: The present disclosure provides a system and method for optimizing a team selection process during an auction. The method includes receiving a first input associated with a quality of a sports team, receiving a second input associated with a success probability of a bid associated with the sports team, and determining an optimized list of players for the sports team based on the first and the second inputs.

Abstract: A system and method for providing a robust and effective solution for forecasting inventory for a warehouse/fulfilment centre (FC) at a product batch level. The method includes calculating a demand forecast data based on a forecast algorithm, correcting the calculated demand forecast data based on one or more exogenous variable, categorizing the inventory into different buckets at a product batch level, forecasting a warehouse level inventory demand for a predefined time based on the categorization, and sending an alert to one or more users based on the categorization. The method further includes predicting a demand forecast data for one or more upcoming weeks.

Abstract: A network computer system operates to determine one or more transport service parameters for an upcoming scheduled event at a mass egress location. One or more activities associated with the scheduled event are monitored to determine whether to update the one or more transport service parameters. Based at least in part on the one or more transport parameters, a set of relocation parameters is determined, including (i) an intermediate location where the service provider is to be located to provide the user with the transport service, and (ii) an intermediate arrival time when the first service provider is to arrive at the intermediate location before the pickup time. Based at least in part on a current location of a selected service provider and the intermediate arrival time, a relocation time when the service provider is to initiate travel to the intermediate location is determined.