Enterprise-grade custom web app

AUTOMATED DATA ANALYTICS
TOOL FOR BULK IMPORTS

AUTOMATED DATA ANALYTICS
TOOL FOR BULK IMPORTS

This tool automates the processing and validation of large e-commerce imports under Section 321 for quick and easy submission to U.S. Customs.

AUTOMATED DATA ANALYTICS TOOL FOR BULK IMPORTS
Logistics & Supply Chain
Customs Clearance
.NET
Partners Since 2016
Kaizen Softworks - Bird

AboutOUR PARTNER

AutoExport: Livingston

Livingston International is a Canadian customs broker and a leader in global trade management, customs compliance, and freight solutions. Through their merger and acquisition of SmartBorder, they have combined expertise to provide enhanced logistics and compliance services.

AboutTHE PROJECT

livingston: this projects challenges

Flood of Customer Data

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  • With the growth of duty-free imports under Section 321, Livingston e-commerce teams faced an influx of data that needed quick and accurate processing.

Manual Processing

  • Handling bulk import data manually slowed operations, often introducing errors and inefficiencies.

Inconsistent Data Quality

  • Customer data arrived in various formats, often incomplete or incorrect, creating challenges in processing shipments accurately.
Kaizen: Pajarito

We built an enterprise-grade data analytics tool that automates the processing of large volumes of e-commerce imports data, enabling accurate submissions to U.S. Customs.

Import agents can easily start new classification projects via FTP, email, or by uploading raw files using a default Excel template. The system then organizes, validates, and formats bulk shipment data, categorizing it by risk level and confidence.

The tool also automatically generates reports, flags missing data, and assigns priority levels to help agents resolve issues efficiently. Customers stay informed through automated email and SMS notifications, receiving real-time shipment status updates.

We continue to support ongoing improvements, enhancing the tool’s user experience (UX) and features based on user feedback.

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Enterprise app’sKEY FEATURES

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The chosenTECHNOLOGY STACK

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These are some of the technologies used in the development of this project.

Backend Development

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Frontend Development

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Databases

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Cloud & DevOps

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What ourPARTNERS SAY

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“I could give them 10 things to do with very little information and then they processed everything almost to perfection. I don’t have to waste time micromanaging. If something needs to be changed, the team does it in an hour, and that’s because they’re asking the right questions. We are at a stage now where the quality far exceeds anything that I’ve ever done.

Brandon Davids

Software Development Manager at Livingston International

Check our other projects withLIVINGSTON & SMARTBORDER

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