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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.