UPS On-Time Analytics

Synopsis and Motivation

  • The main purpose of this application to provide UPS administrators with statistical delivery data

Description

  • In a perfect world - the UPS On-Time Analytics package will take a set of delivered packages for a specific area and check the estimated times based on the service type (GROUND or AIR) and compare them to the actual times the package was delivered. The package then will crunch the data and spit out a correlation chart with clusters showing when packages are delivered in that area compared to when they were estimated. It also will keep track of percentages of On-Time to Not-Making-It-On-Time packages and have a threshold of about 90%. If the threshold dips below 90%, it will alert the server telling UPS to look at this specific area and figure out why packages aren’t getting there on time more than 90% of the time.

  • What it does - It pulls the actual dates and times the package was delivered and also the estimated dates and times and keeps track of the On-Time percentage of a specific area.

How to Run

cd UPS-OnTime
python ./UPS-OnTime

Follow prompts - Debug data is included

Data Sources

  • UPS-provided APIs

  • UPS-provided Tracking Numbers

  • Personal UPS Tracking Numbers

Languages

  • Python

Contributors:

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