AutoScheduler。人工智能adds experienced CTO

AutoScheduler。人工智能这家软件供应商将其软件平台描述为“仓库管理系统(WMS)加速器”。近日，该公司宣布聘请安德鲁•吉布森(Andrew Gibson)担任首席技术官(CTO)，带领公司的软件开发工作更上一层楼。

Gibson是供应链行业专家，曾任职于雀巢，在数学方面有深厚的专业知识，而数学是人工智能的基石。AutoScheduler。人工智能smooths operations in a warehouse by integrating seamlessly with warehouse management systems, orchestrating activities across supply chain campuses, and adding value by improving OTIF, managing inventory, and creating dynamic schedules that change as conditions shift.

“我们意识到，以目前的市场采用速度，AutoScheduler。人工智能needed to bring in a leader who could help us expand our platform more quickly,” said Keith Moore, Chief Product Officer at AutoScheduler.AI. “We needed somebody with deep domain expertise as well as exposure to modern machine learning and software development practices, and Andrew fits that description very well. We’re thrilled to have him.”

“AutoScheduler。人工智能uses advanced technologies such as artificial intelligence, machine learning, and digital twins to transform distribution centers and warehouses with new levels of efficiency and execution,” said Andrew Gibson, CTO of AutoScheduler.AI. “I look forward to accelerating the development of this sophisticated technology to achieve the next phase of growth for the company.”

Andrew Gibson博士在雀巢公司任职25年，担任仓储和运输的运营领导者，并担任数据科学领导者，专注于推动供应链、仓储、运输和销售的改进。万博ag客户端app作为顾问，他曾与cpg、零售商和软件公司合作，开发更智能、数据科学支持的工具，以产生更清晰的见解，并在整个企业范围内实现更好的决策。

他曾在学术环境和高管教育中教授数据科学、数据可视化和供应链分析。

他毕业于曼彻斯特大学，获得数学和管理科学学士学位。他获得伦敦大学(University of London)伦敦商学院(London Business School) MBA学位。他在阿肯色大学获得工业工程哲学博士学位。

AutoScheduler。人工智能is a supply chain analytics company focused on distribution center optimization that accelerates existing WMS capabilities with Intelligent Warehouse Orchestration. By seamlessly integrating with existing WMS and ERP systems, AutoScheduler’s platform provides capabilities that include dynamic dock scheduling, level loading labor, balancing inventory overflow, proactively cross-docking, and eliminating redundant workforce.