![]() Additional duties may be assigned as necessary: This position will be responsiblefollowing. Manages a portfolio of products in terms of matching supply to demand, ensuring 95%+ on-time delivery to customers, while reducing stock outs at DC's and Hubs and keeping inventory level optimized. is one of the nation's largest wholesale distributors of building supply products, has an immediate opportunity available for an experienced, reliable, and hard-working Supply Planner to join the team. This approach will enhance efficiency, reduce manual work, and optimise business operations, leading to more agile and data-driven supply chain management.PrimeSource Building Products, Inc. Planners will receive personalised recommendations each morning, streamlining decision-making and task prioritisation.Īutomation will extend to communication with external entities, generating consistent, detailed emails with a single click. In the future of AI in supply chain, we envision seamless integration of AI tools with best-in-class data foundations to help me optimise, automate and execute. By providing real-time data access, automation of repetitive tasks, and facilitating instant communication through tools like real-time chat and messaging alerts, AI enables quicker reactions and more efficient responses, enhancing supply chain resilience and agility.Īnd what’s in the future for AI in supply chain? ![]() Latency comes when we don't know what to do or where to find the data. Yes, AI can help significantly reduce the latency period between knowledge and action in supply chain management. So can AI help reduce the latency period between knowledge and action? It should allow you to fish the way you want to fish, rather than you appointing a solution to do the fishing for you. Technology has to play the role of the infrastructure or the framework. In essence, it's not just about the tools but how you intelligently structure and utilise the data that leads to better predictability in supply chain management. However, technology should serve as a flexible framework, allowing you to organise and analyse data the way you need, rather than imposing predefined solutions. The key is to have a common visibility layer (a single glass pane of truth) that brings together business data efficiently, for instance, combining weather alerts with your business data on shipments can enable informed decisions. How can we be more predictive – is it down to tools or how we interrogate the data?īeing more predictive in supply chain management requires a strong data foundation and intelligent data integration. This enables AI to offer valuable insights and improve supply chain visibility, making it a powerful tool when implemented alongside a coherent data strategy. Once AI systems understand human processes and operations, they can use machine learning to collect and analyse data effectively. However, AI relies on a foundation of human intelligence and a common data model. It becomes an issue because companies invest in technologies without considering how they will make their multiple systems talk to each other (for example, one system may refer to ‘products’, while another refers to ‘items’ or ‘SKUs’). Challenges such as having multiple data models and integration complexities can impede visibility. Hi Rajen, first off, to what extent can AI help improve supply chain visibility?ĪI can significantly enhance supply chain visibility by streamlining data integration and providing actionable insights. Supply Management spent 5 minutes with Microsoft's director supply chain industry solutions, Rajen Ravel, on understanding the potential. ![]() What does it take to successfully incorporate AI into your business? What are the potential rewards, and the common pitfalls?
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |