System and method for collecting, organizing, and curating customer engagements across multiple domains to provide contextual nurturing and alignment of customer journeys to business objectives

A method of collecting, organizing, and curating a plurality of customer engagements across multiple customer-business domains in a multi-dimensional digital representation of a plurality of customer-business interactions, the method comprising:

• on at least one computing device having a non-transitory computer readable storage media, a processor having a connection to a memory and a network, said non-transitory computer readable storage media with a plurality of program instructions and a machine learning module stored thereon:
• continuously receiving, via the connection to the network, a real-time digital interaction stream from a plurality of customers and directly organize said stream into said memory at a bitwise level;
• analyzing a plurality of customer viewpoints depicting a plurality of customer-business interactions for a plurality of customers, the customer-business interactions comprising a plurality of factual and a plurality of inferred dimensions, utilizing the machine learning module;
• classifying said plurality of customer-business interactions according to a hierarchy between a customer communication from a business and a customer action, among the plurality of customers;
• determining, based on said hierarchy an at least one customer purpose for each of said plurality of customers, said at least one customer purpose in accordance with an at least one business goal;
• utilizing a plurality of trigonometric laws to compare within said multi-dimensional digital representation a plurality of customer actions in response to a plurality of customer communications to refine said at least one customer purpose;
• and
• encoding, via the processor, said hierarchy and said plurality of customer-business interactions into a plurality of bead-based memory structures on said memory, each bead comprising a fixed 512-bit allocation with a leading first two bits assigned to identify each element of said hierarchy, said bead-based memory structures instantiated at the bitwise level in system memory connected to said processor and configured to maintain a contiguous allocation of said plurality of bead-based memory structures;
• and outputting said at least one proposed customer-business interaction to a remote system via the connection to the network for execution of a customer-facing process.

A system for collecting, organizing, and curating a plurality of customer engagements across multiple customer-business domains in a multi-dimensional digital representation of a plurality of customer-business interactions, the system comprising:

• an at least one computing device having an at least one non-transitory computer readable storage media having a plurality of program instructions and a machine learning module stored thereon, an at least one processor, a network connection, and an at least one memory, the computing device in continuous receipt of a real-time digital interaction stream from a plurality of customers and directly organize said stream into said memory at a bitwise level, the processor in communication with the non-transitory computer readable storage media directs the at least one computing device to:
• analyze, utilizing the machine learning module, a plurality of customer viewpoints depicting a multi-dimensional digital representation of a plurality of customer-business interactions for a plurality of customers, the customer-business interactions comprising a plurality of factual dimensions and a plurality of inferred dimensions;
• classify, utilizing the machine learning module, said plurality of customer-business interactions according to a hierarchy between a communication from a business and a customer action, among the plurality of customers;
• determine, based on said hierarchy an at least one customer purpose for each of said plurality of customers, said at least one customer purpose in accordance with an at least one business goal;
• utilize a plurality of trigonometric laws to compare within said multi-dimensional digital representation a plurality of customer actions in response to a plurality of customer communications to refine said at least one customer purpose;
• encode, via the processor, said hierarchy and said plurality of customer-business interactions into a plurality of bead-based memory structures on said memory, each bead comprising a fixed 512-bit allocation with a leading first two bits assigned to identify each element of said hierarchy, said bead-based memory structures instantiated at the bitwise level in system memory connected to said processor and configured to maintain a contiguous allocation of said plurality of bead-based memory structures;
• and output said at least one proposed customer-business interaction to a remote system via the network connection for execution of a customer-facing process.