The Challenge: Human Mistakes and Complexity in Shipment Verification
With an ever-growing network and higher numbers of shipments being processed, the client's manual shipment size verification process turned out to be the major growth chokepoint. The business was counting on human agents to catch size differences in shipments—a vital process to provide accurate billing. But as traffic in shipments increased, manual checking couldn't keep pace. The inefficiencies weren't only impeding the workflow; it was also resulting in revenue losses because of incorrect billing charges. The logistics industry leader needed AI-enabled solution that would automate the process without compromising on accuracy, removing the element of human error, and enhancing overall efficiency.
The logistics behemoth was confronted with two key challenges.
• Manual errors were infiltrating the process, like objects being wrongly placed inside measurement zones, resulting in erroneous billing calculations.
• Measuring the base and dimensions of 3D objects was complex by nature. Conventional methods found it difficult to ascertain the right shape and size of irregularly shaped packages, resulting in inconsistencies in automated measurement systems.
These inaccuracies in turn impacted the logistics chain's billing process with financial leakage as well as operating inefficiencies. The company wanted to automate dimension verification of the shipment with precision while still incorporating human intervention if required.
