About Project

CGETC, a logistics and 3PL company, partnered with our team to enhance their system. The project involved migrating from odoo.sh to Amazon S3, creating a mobile app for picking and packing with video proof, and making system enhancements. These improvements aimed to optimize logistics processes and enhance operational efficiency.
  • Web, Mobile

    Platform/OS
  • Logistics

    Category

Brief

By carefully mapping out and carrying out each step of the migration process, we successfully moved all the data to Amazon S3 and set up Odoo. The system and its data have been tested extensively to guarantee their reliability. We collected requirements and built an intuitive smartphone app to scan barcodes and get real-time information. We were able to synchronize data by integrating it with our back-end systems. Also, we have developed a PDF production module for carton labels, featuring barcode capabilities and the capacity to document packing activities in complete video format.

Highlights

We successfully migrated from odoo.sh to Amazon S3, optimizing logistics operations for CGETC. Our team developed a user-friendly mobile app with real-time updates, barcode scanning, and video proof capabilities, improving efficiency and accuracy in packaging processes.
Case Study

Features

Time Capsule Migration: The logistic brand preserved its data legacy by seamlessly transferring all data from odoo.sh to the future-proof Amazon S3 platform.

Virtual Packer: The mobile app turns smartphones into efficient packing tools, boosting productivity and accuracy in fulfillment operations.

Package Reality Check: The top-notch quality control with our innovative video proof of packaging allowed the brand to inspect every package virtually and enhance customer satisfaction.

Logistics Command Center: Our comprehensive management system gives us insight into operations, providing real-time tracking and control over orders, inventory, shipments, and more.

Tech Stack

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    CSS 3

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    JavaScript

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    Odoo

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    PostgreSQL

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    Python

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    Amazon S3

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    HTML

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    Azure DevOps

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