Solutions Engineer

• Identify and assess Artificial Intelligence and Machine Learning use cases across logistics operations (routing, forecasting, inventory, customer service, predictive demand, route optimization, intelligent dispatch, LLM-driven customer support, etc.)
• Collaborate with business owners and IT to identify use cases – defining success metrics, testing, and implementation criteria – to scope projects
• Manage pilots, measure results, and scale successful initiatives
• Work with third-party vendors, data scientists, or internal developers to build and deploy solutions
• Build and oversee a cross-functional portfolio of AI initiatives, ensuring operational value and ROI
• Maintain awareness of industry AI trends, tools, and emerging technologies relevant to logistics
• Communicate business value and implementation plans to leadership and cross-functional teams
• Serve as a project manager and internal consultant on AI-related efforts.

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Solutions Engineer

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