Economist Events Webinar
Today’s supply chains are far from linear. They are ever-evolving, digitally enabled, interacting chains of data with real-time interdependencies and thousands of touchpoints. During this period of pressure on global supply chains, it is more important than ever to streamline and future-proof the systems powering them. As supply chains develop, the way decisions are made needs to evolve at the same pace. Complex supply-chain constraints and bottlenecks can be managed with data and prescriptive insights that allow for real-time strategic and operational decision-making. Armed with data and insights from the first mile through to the last—from early warning of disruptions to a live view on critical supply-chain points—organisations can save on costs and create efficiencies in demand planning and forecasting, inventory visibility, order orchestration, and tracking and tracing of shipments.
Central questions to be addressed include:
- What major supply chain bottlenecks do organisations currently face due to the current global scenario? Can data, intelligent automation and prescriptive insights solve these issues? Can they offer the scalability and speed that organisations seek
- How can demand planning and forecasting be improved?
- What kind of data and prescriptive insights let organisations stay ahead of supply-chain disruptions? How do we ensure that this is captured? What are the different sources of prescriptive insight?
- What implementation challenges are associated with integrating intelligent supply-chain systems? Do existing legacy systems pose a deterrent? How can we make the transition smoother? How can flexibility be built into the supply chain?
- What are some real-world use cases where data and prescriptive insights have created major cost, time or safety efficiencies for an organisation? Tell us about how you worked on this within your organisation/ industry.
- How do you force organisations to re-evaluate vulnerabilities in supply chains? Does there need to be a shift in mindset?
- How can we make sure that data captured and reported in supply-chain systems is interoperable and standardised? How do we prevent data fatigue?
- Alberto Lupano, SVP group supply services transformation, Reckitt
- Vineet Khanna, Global head of supply chain and SVP, Nestlé
- Anubhav Singh, VP global logistics and data analytics, Schneider Electric
- Motz Feinberg, Vice president supply chain, Cedars-Sinai Healthcare System
- Annie Tong, Supply chain solutions advisor, InterSystems
- Moderator: Oliver Sawbridge, Policy and insights manager, Economist Impact