Case Study: Kotahi achieves 2x faster customer decision-making and streamlined supply-chain operations with Databricks

A Databricks Case Study

Preview of the Kotahi Case Study

Transporting a global supply chain to a sustainable future

Kotahi, a New Zealand logistics and technology company coordinating exports, imports and container movements for more than 50 partners, struggled with siloed core systems and large, disparate datasets. That fragmentation made reporting and near-real-time visibility—vital for high-value cargo like chilled meat—slow and manual, hindering timely customer decisions and operational automation.

By adopting Azure Databricks (Delta Lake, Databricks SQL) Kotahi implemented a unified data analytics platform and automated data pipelines, cutting a nine-hour process to 20 minutes (about 27x faster). The solution enabled three new products, including Chilled Produce Reporting, doubled supply‑chain efficiency and reduced customer decision time by more than 50%.


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Kotahi

Matthew Wright

General Manager of Digital Technology


Databricks

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