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    Shipping Optimization for a North American Manufacturing Firm by Unifying Data from Nine Different Distributed Systems

    Highlights

    Unified data from 9 sources for a streamlined shipping process

    Leveraged data analytics to predict annual target of 17M tons of shipments

    Automated legacy shipping data pipeline using Azure ADF

    Overview

    We revolutionized a North American manufacturing company's shipping operations, leveraging advanced analytics solutions for efficient industrial product distribution via multiple channels. We established a robust data collection, storage, and management foundation, ensuring seamless integration with future AI and analytics needs. 

    Client

    A renowned shipping manufacturer

    Geography

    North America

    Industry

    Industrial Manufacturing

    Tech Stack

    Azure, ADF, Parquet files, Synapse, PowerBI​

    Tags: Data-as-an-Asset

    The Challenges

    • The client struggled with scattered data across 9 systems, hindering strategic decisions and demanding centralized solutions for seamless insights.  

    • Varied formats in legacy systems delayed data consistency, necessitating a standardized approach for improved analytics.  

    • The absence of unified shipping data collection tools posed a challenge, requiring streamlined processes for enhanced efficiency.