Driving Data Transformation for a Leading Food Processing and Supply Chain Company

A leading food processing and supply chain company, and the largest garlic supplier to U.S. supermarkets, sought to modernize its data infrastructure. The client relied on legacy technologies such as AS400, Excel, CSV files, and RPG programming. Manual data cataloging and siloed reporting limited visibility and made it difficult to scale analytics across functions.

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Challenge

Legacy tools and disconnected systems hindered the client’s ability to make data-driven decisions. They needed a scalable, cloud-based platform to unify data, automate workflows, and enable advanced analytics.

Data Fragmentation and Manual Processes

Fragmented data across business units with no central storage, and manual report generation and data validation

Scalability and Analytics Limitations

Limited analytics and scalability due to storage constraints

Solution

Innovation Strategy

‍Entrans implemented a comprehensive Azure-based data platform with automated ingestion, cloud-native storage, and built-in analytics and ML capabilities.

Collaborative Approach

‍Our engineers worked alongside the client’s IT and operations teams across a four-phase implementation — from data migration and ETL setup to dashboarding and predictive modeling.

Key Initiatives

  • Migrated legacy data to Azure Data Lake and Blob Storage
  • Built automated ETL pipelines using Azure Synapse and Databricks
  • Enabled AI/ML with Azure ML, TensorFlow, and PyTorch
  • Integrated Tableau for real-time business reporting

Business Transformation

‍The client now benefits from seamless data integration, faster analytics turnaround, and improved decision-making speed—unlocking long-term operational efficiency and revenue optimization.

Future-Ready

‍With a modern, scalable Azure data stack, the company is positioned to expand AI/ML use cases across forecasting, quality assurance, and supply chain intelligence.

Client Quote

"Entrans’ data modernization solutions transformed how we utilize data, enabling us to drive business growth through advanced analytics and reporting."
— CTO, Leading Food Processing and Supply Chain Company

Key Takeaways

  • Unified structured and unstructured data under one cloud platform
  • Deployed end-to-end automation from ingestion to insights
  • Enabled AI-driven forecasting and data-driven business strategies
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Outcomes

01

Centralized platform eliminated data silos across departments

02

Real-time dashboards and predictive insights enabled faster, more accurate decisions and improved supply chain planning

03

Automation reduced manual reporting workload and minimized errors

Technology Stack and Architecture

01

Data Engineering

We design scalable data pipelines and implement robust ETL processes to collect, transform, and store data efficiently. By leveraging cloud platforms and advanced tools, we ensure seamless data integration, enabling businesses to derive actionable insights.

02

Data Visualization

We craft intuitive dashboards and interactive visualizations using advanced tools. Our approach transforms complex datasets into clear, actionable insights, empowering businesses to make data-driven decisions effectively.

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Methodology

Key step of the project are the following

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