Adaptive cloud conversation ecosystem

An adaptive cloud conversation platform, comprising:

• an adaptive platform client application operating on a first computing device comprising a first memory and a first processor, the adaptive platform client application configured to cause the first computing device to:
• receive input regarding a subject matter;
• retrieve a first consumer profile for a consumer operating the first computing device from a local consumer profile database stored on the first computing device, the first consumer profile comprising a consumer identifier and one or more attributes of the consumer;
• compare the input to the one or more attributes to determine whether a conversation should be initiated with a brand;
• and
• where the determination is that a conversation should be initiated, send a request for initiation of a conversation to the conversation manager, the request comprising the consumer identifier and the subject matter;
• a second computing device comprising a second memory, a second processor, and a non-volatile data storage device;
• a cloud consumer profile database stored on the non-volatile data storage device, the cloud consumer profile database comprising a plurality of consumer profiles, each comprising a plurality of consumer data and a plurality of consumer contact preferences pertaining to a specific consumer;
• a brand database stored on the non-volatile data storage device, the brand database comprising brand information comprising product information, service information, or both, for a plurality of brands and one or more contact channels for each brand;
• the conversation manager comprising a first plurality of programming instructions stored in the second memory which, when operating on the second processor, causes the second computing device to:
• receive the request for initiation of the conversation from the adaptive ecosystem application;
• using the consumer identifier, retrieve a second consumer profile for the consumer from the cloud consumer profile database, the second consumer profile comprising a plurality of consumer data about the consumer and a plurality of consumer contact preferences for the consumer;
• retrieve brand information for a plurality of brands from the brand database;
• process the consumer data of the second consumer profile, the subject matter, and the brand information through a first machine learning algorithm to obtain a brand recommendation for initiating a conversation with the consumer;
• process the consumer contact preferences of the consumer profile and the contact channels of the brand information through a second machine learning algorithm to obtain a recommended callback time and a recommended callback channel for a callback from the brand to the consumer about the subject matter;
• schedule the callback from the brand to the consumer about the subject matter at the callback time through the callback channel;
• and
• send the scheduled callback to a callback manager for implementation;
• the callback manager comprising a second plurality of programming instructions stored in the first memory which, when operating on the first processor, causes the first computing device to:
• receive the callback schedule;
• and
• execute the callback schedule by establishing communications between the brand and the consumer at the selected time through the selected channel as indicated in the callback schedule.