Systems and methods for automated modification of delivery parameters

A method comprising:

• receiving first data associated with one or more first deliveries performed by a first delivery driver at a first time;
• training a computing model using the first data;
• receiving, at a second time, second data associated with one or more second deliveries to be performed by the first delivery driver or a second delivery driver, wherein the second data comprises a first data table that includes a data row including a first identifier and a second data row also including the first identifier;
• performing a first data transformation on the first data table to generate a second data table including a single data row including the first identifier;
• performing a second data transformation on the second data table such that a single historical delivery occupies a single row of the second data table, wherein the second data transformation involves removing a first column from the first data table and aggregating a second column and a third column including non-numerical values into a different column type including numerical values;
• determining, using the computing model, based on the second data, and in real-time, a probability that the one or more second deliveries will result in a delivery defect;
• and
• determining, based on a comparison between the probability and a first threshold value and in real-time, a first modification to the one or more second deliveries, wherein the first modification involves adding a first limitation to the one or more second deliveries or removing the first limitation from the one or more second deliveries.

A system comprising:

• memory that stores computer-executable instructions;
• and
• one or more processors configured to access the memory and execute the computer-executable instructions to:
• receive first data associated with one or more first deliveries performed by a first delivery driver at a first time;
• train a computing model using the first data;
• receive, at a second time, second data associated with one or more second deliveries to be performed by the first delivery driver or a second delivery driver, wherein the second data comprises a first data table that includes a data row including a first identifier and a second data row also including the first identifier;
• perform a first data transformation on the first data table to generate a second data table including a single data row including the first identifier;
• perform a second data transformation on the second data table such that a single historical delivery occupies a single row of the second data table, wherein the second data transformation involves removing a first column from the first data table and aggregating a second column and a third column including non-numerical values into a different column type including numerical values;
• determine, using the computing model, based on the second data, and in real-time, a probability that the one or more second deliveries will result in a delivery defect;
• and
• determine, based on a comparison between the probability and a first threshold value and in real-time, a first modification to the one or more second deliveries, wherein the first modification involves adding a first limitation to the one or more second deliveries or removing the first limitation from the one or more second deliveries.