Automating Nonstandard Package Detection for a Global Logistics Giant

Wipro’s computer vision-based automation solution eliminated revenue loss for the client, and delivered ROI within 15 months

Client Background

Client name: Global delivery services provider

Industry: Logistics

Services: Courier services

Areas of operations: Global

Who are their customers: B2C company

Total annual revenue: $ 69.2 billion

Challenge

A typical delivery collection center receives a large number of dispatch packages every day. Workers analyze the video recordings of these packages as they move on a conveyor. An additional handling surcharge is applicable on any nonstandard packages identified by the workers. This process poses several challenges:

The recordings are deleted in a day’s time owing to their large size, sometimes before the manual screening was completed and hence the process leads to revenue loss.
The manual screening process is difficult to scale, to match variations in the number of packages coming in every day.
The monotony of watching endless video footage of packages rolling down a conveyor leads to manual errors.

Solution

Wipro devised an innovative computer vision-based video analytics solution that comes with the following features:

Detects non-standard packages on a conveyor using deep learning algorithms.
Classifies packages into various classes based on their size.
Assigns a surcharge to each non-standard package, based on the package category.
The entire process is completed in 8-10 hours.

Business Impact

The solution provides multiple benefits:

Eliminates revenue loss, as it easily identifies nonstandard packages.
Delivers a return on investment within 15 months.
It is a scalable solution that caters to any variance in the number of packages coming in every day

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Automating Nonstandard Package Detection for a Global Logistics Giant

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