Abstract: A method and associated system for linking product data from multiple channels of online marketplaces, the method including a) providing at least one first parameter associated with a product, b) generating a primary table based on the at least one first parameter, c) determining at least one first value associated with the at least one first parameter, d) obtaining data associated with the product from multiple channels of online marketplaces, e) transforming the data into a unified format, where the transformed data includes at least one second value, f) automatically generating an updated primary table based on the primary table, the at least one first value, and the transformed data including the at least one second value in an iterative or recursive manner, and g) continuously replacing the primary table with the updated primary table in an iterative or recursive manner through repeating steps (d)-(f).

Abstract: A method and associated system for retrieving data associated with an online marketplace, including determining, based on a search of a configuration table, a configuration associated with an online marketplace channel API; determining, based on a search of a customer query table, one or more customers requiring data retrieval; generating one or more required time periods for data retrieval based in part on one or more settings of the configuration associated with the online marketplace channel API; dividing, based on the one or more settings of the configuration associated with the online marketplace channel API, the one or more required time periods into a plurality of time subperiods compliant with the online marketplace channel API; retrieving data from the online marketplace channel API in batches based on the plurality of time subperiods compliant with the online marketplace channel API; and storing the retrieved data.

Abstract: A method and associated system of managing advertising spending in an advertising campaign for an online marketplace seller, including, under control of one or more processors configured with executable instructions, defining a sales goal; setting a daily advertising budget and a bid value for an advertising campaign of the product; executing the advertising campaign; automatically collecting sales data relating to the product on the online marketplace; executing a machine learning component of an adaptive machine learning platform to generate a machine learning component output, at least in part based on the sales data; generating, based at least in part on the machine learning component output of the machine learning component, one or more sales milestones for the product on the online marketplace; comparing the sales data to the one or more sales milestones; and adjusting the daily advertising budget or the bid value to meet the sales goal.

Abstract: A method and associated system of producing an advertising campaign of a product for an online marketplace seller including, under control of one or more processors configured with executable instructions, generating a single keyword advertising campaign of the product; collecting data on the single keyword; executing a machine learning component of an adaptive machine learning platform to generate a machine learning component output based at least in part on the data on the single keyword; generating a behavioral curve or table relating to an advertisement bid value and a cost per click value based at least in part on the machine learning component output; generating sales goal(s) of the product for the online marketplace seller on the online marketplace; generating an optimized advertisement bid value based at least in part on the sales goal(s) and the behavioral curve or table; and generating an optimized advertising campaign therefrom.

Abstract: A method and associated system of producing an advertising campaign of a product for an online marketplace seller including, under control of one or more processors configured with executable instructions, generating a single keyword advertising campaign of the product; collecting data on the single keyword; executing a machine learning component of an adaptive machine learning platform to generate a machine learning component output based at least in part on the data on the single keyword; generating a behavioral curve or table relating to an advertisement bid value and a cost per click value based at least in part on the machine learning component output; generating sales goal(s) of the product for the online marketplace seller on the online marketplace; generating an optimized advertisement bid value based at least in part on the sales goal(s) and the behavioral curve or table; and generating an optimized advertising campaign therefrom.

Abstract: A method, and associated system, for using a financial performance forecast relating to an online marketplace seller, including, under control of one or more processors configured with executable instructions, collecting historical data relating to activities of the online marketplace seller; executing a machine learning component of an adaptive machine learning platform to generate a machine learning component output, where the machine learning component output is generated at least in part based on the historical data; generating, based at least in part on the machine learning component output of the machine learning component, a financial performance forecast score; and making a recommendation to provide funding to the online marketplace seller, based at least in part on the financial performance forecast score.

Abstract: Disclosed herein is a system for efficient management of work flow through project management software. More specifically, the invention relates to novel task allocation processing based on available resources, characteristics of those resources, external event management, machine learning, and image processing ensuring efficient workflow by allowing resource capabilities to efficiently be utilized automatically.