Common marketplace platform for technology creators, buyers, and expert professionals

A method of common market place for technology creator, the method comprising:

• a method of creation of a common digital platform, the method having:
• an at least one cloud server (108) executes computer-readable instruction that provides a common digital platform for technology creators, enterprise buyers sand expert agents to interact with each through an at least one technology creator computing device (102), an at least one enterprise buyer computing device (104) and an at least one expert agent computing device (106) respectively, and
• Further, the technology creators, the enterprise buyers and the expert agents create their profile on the common digital platform through the at least one technology creator computing device (102), the at least one enterprise buyer computing device (104) and the at least one expert agent computing device (106) respectively,
• Wherein, in the profile of the technology creators, the technology creators upload their technology product and service details to be displayed on the profile of the technology creators and that is accessible to the enterprise buyers on the at least one enterprise buyer computing device (104) and the expert agents on the at least one expert agent computing device (106),
• Wherein, the expert agent's profiles are created on the common digital platform based on the expert agent's skill set;
• a method of selling technology product and service on the common digital platform, the method having:
• the technology creators upload their technology product and service details on the at least one cloud server (108) through the at least one technology creator computing device (102), to be displayed on the profile of the technology creators,
• the technology creators send request, through the at least one technology creator computing device (102), to the at least one cloud server (108) that executes computer-readable instruction to search for the expert agents based on the technology product and service details of the technology creators,
• the at least one cloud server (108) executes computer-readable instructions based on an text classification and relationship algorithms that uses recurrent neural network models to classify attribute of the expert agents and then apply text classification and relationship algorithms while matching expert agents with requests from the technology creators,
• the expert agents get notification of the new technology creators on the at least one expert agent computing device (106),
• the expert agents provide statement of work and fee to the technology creators through the at least one expert agent computing device (106),
• after being accepted by the technology creators, the expert agents provide expertise help to market and sell the technology product and service details of the technology creators to the enterprise buyers, the expert agents also provide expert advice and training in different domain through the common digital platform that is being created by the at least one cloud server (108),
• wherein, there is a contact of the expert agents on the profile of the technology creators to get the procurement process started with the enterprise buyer,
• wherein, the recurrent neural network models is trained using the resume sample to recognize the attribute of the expert agents;
• a method of procurement by the enterprise buyer, the method having
• the enterprise buyers send request, through the at least one enterprise buyer computing device (104), to the at least one cloud server (108) that executes computer-readable instruction to search for the technology creator based on the technology set, the enterprise buyer interested in,
• the at least one cloud server (108) executes Computer-readable instructions based on personalization algorithms that use convolution neural networks to showcase the technology creator products and similar products during a search by the enterprise buyers and also to showcase similar content, content recommendations during content search by the enterprise buyers and, further, computer-readable instructions based on personalization algorithms provides personalized search results that correspond to the enterprise buyers,
• the enterprise buyers browse the deep dive technology product and service details in the profile of the technology creators,
• at least one cloud server (108) executes computer-readable instruction to notify the enterprise buyers, on the at least one enterprise buyers computing device (104), to engage the expert agents that is hired by the technology creators,
• further the expert agents get notification on the at least one expert agent computing device (106) when the enterprise buyers, selects the expert agents to engage,
• further the enterprise buyers, and the enterprise buyers come together to complete the procurement process;
• a method of participating community market place by the expert agents, the method having
• the expert agents upload various kinds of content, on the at least one cloud server (108), such as marketing, industry insights, training and development,
• the expert agents price these contents on a per download pricing,
• the expert agents schedule live stream training, learning or other live events and set the ticket price per event,
• Users pay the ticket price through the payment module and enter to view this live stream content,
• the expert agents run panel discussions and other useful forums on the community market place;
• a method of advising by the expert agents, the method having
• the enterprise buyers and the technology creator, and other parties request projects seeking advice from the expert agents in specific domain.
• the at least one cloud server (108) executes computer-readable instructions based on an text classification and relationship algorithms that uses recurrent neural network models to classify attribute of the expert agents and then apply text classification and relationship algorithms while matching expert agents with requests,
• the expert agents are paid for these advisory sessions.
• wherein, the expert agents are specialized in a different domain selected from marketing, finance, sales, technology solution, industry expertise, business transformation, procurement, and legal,
• wherein, the expert agents are shared by the enterprise buyers and the technology creator thus the system (100) is able to achieve economies of scale.