CPC G06Q 10/06375 (2013.01) [G06F 16/285 (2019.01); G06F 40/40 (2020.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06Q 10/04 (2013.01); G06Q 10/067 (2013.01); G06Q 10/0635 (2013.01); G06Q 10/06315 (2013.01); G06Q 10/06393 (2013.01); G06Q 10/103 (2013.01); G06Q 30/0185 (2013.01); G06Q 30/0201 (2013.01); G06Q 30/0203 (2013.01); G06Q 50/188 (2013.01); G06Q 50/28 (2013.01)] | 32 Claims |
1. A method of Sourcing, the method comprising:
receiving a demand from at least one data source;
triggering a sourcing module through a category workbench application user interface for initiating at least one sourcing task based on the received demand;
in response to initiation of the at least one sourcing task, processing by an Artificial Intelligence (AI) engine coupled to a processor, a plurality of historical data from a data lake based on one or more data models to generate code for a recommended sourcing strategy through prediction analysis;
executing the code to inject by an intelligent bot, aggregated data patterns related to one or more object categories into the recommended sourcing strategy for generating at least one object characteristic data set;
identifying one or more suppliers for executing the recommended sourcing strategy based on the object characteristic data set; and
encapsulating one or more recommended awarding scenario on the category workbench user interface for selection to execute a sourcing operation, wherein the sourcing operation includes execution of the recommended sourcing strategy by the one or more suppliers.
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