Logistic recommendation engine

A system, comprising:

• a computer processor;
• a repository configured to store:
• shipment details comprising a plurality of attributes,
• a plurality of logistic preferences for a subset of the plurality of attributes, and
• a plurality of shipment transactions comprising a shipment transaction comprising a plurality of values for the plurality of attributes and labeled with a vendor logistic service of a plurality of vendor logistic services;
• and
• a recommendation engine, executing on the computer processor, configured to:
• receive, for a package and from a graphical user interface, the shipment details, obtain the plurality of logistic preferences for the subset of the plurality of attributes, apply the plurality of logistic preferences to the shipment details to obtain modified shipment details,
• train a classifier, of a plurality of classifiers, using the plurality of shipment transactions,
• generate, by applying the classifier to the modified shipment details, a plurality of scores for the plurality of vendor logistic services,
• wherein the classifier is one of the plurality of classifiers that are applied to the modified shipment details, and
• wherein a score of the plurality of scores is a weighted combination of a plurality of classifier outputs identifying probabilities of matches, between the plurality of vendor logistic services and the modified shipment details, and generated using a harmonic mean in the modified shipment details;
• and
• present a recommendation of the vendor logistic service from the plurality of vendor logistic services using the score generated from the output, from a classifier of the plurality of classifiers, that identifies a probability that the vendor logistic service matches to the modified shipment details.

A method comprising:

• receiving, for a package and via a graphical user interface (GUI) generated by a computer processor, shipment details comprising a plurality of attributes;
• obtaining, for a subset of the plurality of attributes, a plurality of logistic preferences;
• sending the shipment details and the plurality of logistic preferences to a recommendation engine, wherein the recommendation engine:
• applies the plurality of logistic preferences to the shipment details to obtain modified shipment details;
• trains a classifier, of a plurality of classifiers, using a plurality of shipment transactions comprising a shipment transaction comprising a plurality of values for the plurality of attributes and labeled with a vendor logistic service of a plurality of vendor logistic services;
• generates, by applying the classifier to the modified shipment details, a plurality of scores for the plurality of vendor logistic services,
• wherein the classifier is one of the plurality of classifiers that are applied to the modified shipment details, and
• wherein a score of the plurality of scores is a weighted combination of a plurality of classifier outputs identifying probabilities of matches, between the plurality of vendor logistic services and the modified shipment details, and generated using a harmonic mean in the modified shipment details;
• and
• presents a recommendation of the vendor logistic service from the plurality of vendor logistic services using the score generated from the output, from a classifier of the plurality of classifiers, that identifies a probability that the vendor logistic service matches to the modified shipment details;
• receiving, via the GUI, the recommendation of the vendor logistic service;
• displaying, in an element within the GUI, the recommendation of the vendor logistic service;
• and
• initiating, via the GUI, an interaction with the vendor logistic service.