Case Study: GrainCorp optimizes delivery routes with Insight's cloud analytics

GrainCorp to reap the rewards of optimized delivery routes using cloud-based analytics

GrainCorp, a leading Australian agribusiness and processing company, needed to make its grain distribution process more systematic and repeatable. Working with Insight, the company looked to improve route planning and analytics by moving away from ad hoc Excel-based processes and manual data sharing, while also making better use of machine learning and cloud tools.

Insight and GrainCorp built a cloud analytics platform on Microsoft Azure, using Azure Data Lake, Databricks, Azure Data Factory, and Azure Key Vault to centralize data and automate workflows. In just 12 weeks, they delivered a minimum viable product for freight optimization that helps GrainCorp identify the cheapest and most efficient routes, reduce manual work, and scale analytics more flexibly; the same foundation has since supported additional predictive models for supply and demand planning.

GrainCorp

Pip Garner

Head of Analytics