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Process management is experiencing a revival due to the integration of AI, which enhances productivity and efficiency. The synergy between AI and process management allows organizations to scale improvements significantly, making end-to-end management more effective. However, implementing these advanced technologies can be challenging, requiring a new philosophy that combines people, data, analytics, and AI.
Mars Wrigley exemplifies successful integration by digitizing its supply chain and utilizing AI for predictive analytics and operational efficiency. The company has built a digital twin of its production line and collaborated with AI vendors to optimize processes, resulting in faster order fulfillment and improved customer service ratings. This case illustrates the potential of AI to transform traditional process management and drive significant business performance improvements.
• AI enhances process management, driving productivity and efficiency improvements.
• Mars Wrigley uses AI to optimize supply chain and production processes.
Generative AI refers to algorithms that can create new content or data based on existing information, enhancing process design and efficiency.
Process mining involves analyzing data from IT systems to understand and optimize business processes, revealing inefficiencies and areas for improvement.
A digital twin is a virtual representation of a physical system, used to simulate operations and predict outcomes in real-time.
Mars Wrigley leverages AI to digitize its supply chain and enhance operational efficiency.
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