Optimization Technology

A computer-implemented method of optimizing recommendations, the method comprising using one or more processors to perform operations comprising:

• identifying an interaction with a user that presents an opportunity to provide a recommendation to the user;
• loading, into a cache, user data associated with the user corresponding to the identified interaction;
• accessing, from an electronic data store, recommendation data associated with available recommendations;
• performing qualification analysis on the accessed recommendation data to identify recommendations for which the user corresponding to the identified interaction is qualified;
• loading, into the cache, the identified recommendations for which the user is qualified;
• determining initial interaction information related to the identified interaction with the user;
• selecting, from among the identified recommendations loaded into the cache, a first recommendation based on the user data loaded into the cache and the determined initial interaction information;
• providing the first recommendation for presentation to the user;
• monitoring interactions relevant to the identified interaction with the user;
• based on the monitoring, detecting a change in interaction information related to the identified interaction with the user;
• in response to detecting the change in interaction information, selecting, from among the identified recommendations loaded into the cache, a second recommendation based on the user data loaded into the cache and the change in interaction information, the second recommendation being different than the first recommendation;
• and
• providing the second recommendation for presentation to the user.

At least one computer-readable storage medium encoded with executable instructions that, when executed by a processor, cause the processor to perform operations comprising:

• identifying, using a processor, an interaction with a user that presents an opportunity to provide a recommendation to the user;
• loading, into a cache, user data associated with the user corresponding to the identified interaction;
• accessing, from an electronic data store, recommendation data associated with available recommendations;
• performing, using the processor, qualification analysis on the accessed recommendation data to identify recommendations for which the user corresponding to the identified interaction is qualified;
• loading, into the cache, the identified recommendations for which the user is qualified;
• determining, using the processor, initial interaction information related to the identified interaction with the user;
• selecting, using the processor and from among the identified recommendations loaded into the cache, a first recommendation based on the user data loaded into the cache and the determined initial interaction information;
• providing, using the processor, the first recommendation for presentation to the user;
• monitoring, using the processor, interactions relevant to the identified interaction with the user;
• based on the monitoring, detecting, using the processor, a change in interaction information related to the identified interaction with the user;
• in response to detecting the change in interaction information, selecting, using the processor and from among the identified recommendations loaded into the cache, a second recommendation based on the user data loaded into the cache and the change in interaction information, the second recommendation being different than the first recommendation;
• and
• providing, using the processor, the second recommendation for presentation to the user.