Sortation system for customer return items

A system for managing and reselling reverse items, the system comprising:

• a database storing item data and information about available resale channels;
• and
• at least one computing device configured to communicate with a reverse network including automated sortation equipment, the computing device configured to perform operations comprising:
• identifying the reverse items received at the reverse network, the reverse network being configured to receive reverse items and organize the reverse items into a plurality of sorts of reverse items corresponding to one or more of the available resale channels, wherein the plurality of sorts of reverse items are delivered to the one or more of the available resale channels;
• categorizing the identified reverse items into one or more sorts of reverse items;
• retrieving, from the database, the item data and the information about available resale channels;
• calculating, using a machine learning model, a profit value for each of available resale channels based on (i) the item data and (ii) a respective channel processing cost, wherein the machine learning model is continuously retrained using resale outcome data received from the one or more of the available resale channels to update subsequent profit value calculations;
• determining, for each of the one or more sorts of reverse items and based on the retrieved item data and the information about the available resale channels, the one or more of the available resale channels configured to deliver each of the one or more sorts of reverse items for resale;
• and
• automatically routing, using the automated sortation equipment of the reverse network, the reverse items to one or more sortation destinations associated with the determined resale channels based on the determining.