Using its AI framework, Oshkosh analyzed parts demand patterns, existing warehouse capacity and proximity to customers to determine exactly which parts to stock in which locations, thereby optimizing availability and minimizing waste. The result was faster delivery, happier customers, and a measurable increase in revenue. Khare says this is where AI shines, not just in automating tasks, but in enabling smarter, faster decisions that scale business performance.
Building knowledge and confidence in AI
Khare has placed culture change and governance at the heart of Oshkosh’s AI journey. In 2025, the company hosted an eight-part AI primer series that attracted more than 1,200 team members eager to understand how AI applies to their roles. On-demand digital training, for example, complements live sessions, making AI training available across the organization. According to Khare, continuing education in AI is key to building trust and engagement.
The AI Enablement Council, comprised of IT, legal, cybersecurity and business leaders, also meets regularly to manage risks, accelerate adoption and prioritize investments. The team also tracks model usage and accuracy, intervening when adoption lags. Khare explains that trust is a two-way street as they measure whether models are being used and their performance, and have honest conversations when adoption is not where it should be. He adds that this level of commitment helps build lasting credibility with the company.