The key use cases to be illustrated in this webinar are: payload and route optimization, asset and driver optimization, warehouse location, multi-mode transportation options, higher more profitable miles, lower driver turnover, increased safety, demand and capacity planning, and the ability to 'What If' all parts of the logistics process in real time.
Understand the differences between supply chain visibility, traceability, and transparency. Learn what graph is and how it can create a unified view across digital and physical supply chain processes, yielding more prescriptive supply chain decision making. Use Graph + ML to improve demand forecasting and production planning, while reducing inventory and operating costs. Focus areas include, inventory, routing, predictive analytics, device & fleet management, materials, and more.
Expero was born in Austin, Texas, in 2001 when a pair of tech execs decided the world needed a consulting firm focused on solving software’s most complicated problems. With decades of combined experience in UX, architecture & development, and technology innovation, Expero builds software exclusively for domain experts like scientists, traders, engineers and other sophisticated users. We innovate to build what other say can't be done and believe enterprise users shouldn't compromise.