Machine learning based automated pairing of individual customers and small businesses

A method, comprising:

• at a computing platform comprising at least one processor, at least one physical sensor communicatively coupled to the at least one processor, and memory:
• initiate, via an intelligent chat bot, an interactive communication session with a user;
• receive, from the user and via the intelligent chat bot, user response data;
• process, using natural language processing, the user response data to determine one or more user-defined preference rules for the user;
• determining, based on historical user activity of a user, a pattern of the user activity;
• identifying, based on the pattern of the user activity, one or more anticipated purchase activities of the user;
• determining, based on the one or more anticipated purchase activities of the user, a sales offering by a vendor including a discount associated with the one or more anticipated purchase activities of the user;
• matching the one or more anticipated purchase activities of the user with the sales offering by the vendor, wherein matching the one or more anticipated purchase activities of the user with the sales offering by the vendor further includes executing, by a machine learning model, an optimization algorithm configured to identify optimized resources;
• retrieving, for a purchase activity of the one or more anticipated purchase activities of the user, the one or more user-defined preference rules associated with the purchase activity, wherein the one or more user-defined preference rules include a distance a user is willing to travel for a product included in the one or more anticipated purchase activities of the user;
• determining whether the one or more user-defined preference rules apply to one or more attributes of the purchase activity;
• determining that a user-defined time period has expired;
• triggering, based on a determination that the one or more user-defined preference rules apply to one or more attributes of the purchase activity and based on the determining that the user-defined time period has expired, an action associated with the purchase activity;
• determining whether the user is able to connect to the internet;
• responsive to determining that the user is able to connect to the internet, providing communications to the user via a first mode of communication;
• and
• responsive to determining that the user is not able to connect to the internet, providing communications to the user via a second, different mode of communication,
• wherein the triggering, based on the determination that the one or more user-defined preference rules apply to the one or more attributes of purchase activity and based on the determining that the user-defined time period has expired, the action associated with the purchase activity further includes at least providing communications to the user via one of:
• the first mode of communication and the second mode of communication.

One or more non-transitory computer-readable media storing instructions that, when executed by a computing platform comprising at least one processor, at least one physical sensor communicatively coupled to the at least one processor, and memory, cause the computing platform to:

• initiate, via an intelligent chat bot, an interactive communication session with a user;
• receive, from the user and via the intelligent chat bot, user response data;
• process, using natural language processing, the user response data to determine one or more user-defined preference rules for the user;
• determine, based on historical user activity of the user, a pattern of the user activity;
• identify, based on the pattern of the user activity, one or more anticipated purchase activities of the user;
• determine, based on the one or more anticipated purchase activities of the user, a sales offering by a vendor including a discount associated with the one or more anticipated purchase activities of the user;
• match the one or more anticipated purchase activities of the user with the sales offering by the vendor, wherein matching the one or more anticipated purchase activities of the user with the sales offering by the vendor further includes executing, by a machine learning model, an optimization algorithm configured to identify optimized resources;
• retrieve, for a purchase activity of the one or more anticipated purchase activities, the one or more user-defined preference rules associated with the purchase activity, wherein the one or more user-defined preference rules include a distance a user is willing to travel for a product included in the one or more anticipated purchase activities of the user;
• determine whether the one or more user-defined preference rules apply to one or more attributes of the purchase activity;
• initiate, via an intelligent virtual assistant and based on a determination that the one or more user-defined preference rules apply to the one or more attributes of the purchase activity, an interactive session with the user;
• determine that a user-defined time period has expired;
• trigger, based on the interactive session and after expiration of a predetermined time period, an action associated with the purchase activity;
• determine whether the user is able to connect to the internet;
• responsive to determining that the user is able to connect to the internet, provide communications to the user via a first mode of communication;
• and
• responsive to determining that the user is not able to connect to the internet, provide communications to the user via a second, different mode of communication,
• wherein the triggering, based on the determination that the one or more user-defined preference rules apply to the one or more attributes of purchase activity and based on the determining that the user-defined time period has expired, the action associated with the purchase activity further includes at least providing communications to the user via one of:
• the first mode of communication and the second mode of communication.