This 2024 case study describes how a global refrigerated warehousing and logistics provider with 400+ temperature-controlled facilities improved software delivery by adopting GitHub Copilot across its development lifecycle. Seeking scalable AI/ML-enabled solutions for demand prediction, route optimization, inventory management, and decision support, the company worked with Brillio to assess where AI coding assistants would help most, prioritizing reduction of technical debt, better code quality, and faster test automation. Brillio executed an incremental rollout with tool evaluations, proof-of-concepts, and an 8-week pilot followed by a 3-month adoption phase, backed by training, on-the-job support, and sprint-level measurement of velocity, defects, and code health. Results included about

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