200 “nails” a day in the head? AI can help with that. I recently read an article in which a Supply Chain leader for a leading automotive OEM described the difficulty of their role today. “We are all voodoo dolls in supply chain logistics, receiving 200 “nails” a day in our heads …” What I believe he meant was that there are so many potential threats and risks to the supply chain today that it’s simply impossible to monitor and manage them all … at least not without a very large team. As we know, the automotive supply chain has experienced several major shocks in recent years and – with the stop-start transition to electric mobility – many established OEMs are feeling the strain of having to operate two largely different supply chains (for ICE and EV). This strain comes at a time when they are facing increased competition from new entrants and growing pressure (backed by legislation) to reduce environmental impact. In short, they need to minimize risk and improve competitiveness, but without compromising on their #sustainability missions. This is a major, existential challenge, especially given the complexity and distributed nature of today’s automotive supply chains. This is where partnership with innovative startups and the application of new technology can have a dramatic positive impact. And this is exactly what we’re doing with Prewave – a provider of supply chain intelligence services. Using the power of AI, we’re able to map 1.3 million global suppliers, analyze 150+ risk categories, ‘make use of’ data and information in 400+ languages, and deliver real-time insights to supply chain professionals. It might not prevent every ‘nail’ from heading your way, but it does mean that you’ll be prepared and able to take evasive action. At the Paris Motor Show recently, I had the chance to talk to Prewave CEO and Co-founder, Harald Nitschinger about his impressions of the challenges currently being faced by automotive OEMs, and how our collaboration and use of AI-powered solutions can help automotive OEMs to efficiently scale up their monitoring, management, and risk-mitigation capabilities. Check it out Capgemini Automotive
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A very good discussion on Automotive supply chain resiliency at Paris motorshow with Prewave.
200 “nails” a day in the head? AI can help with that. I recently read an article in which a Supply Chain leader for a leading automotive OEM described the difficulty of their role today. “We are all voodoo dolls in supply chain logistics, receiving 200 “nails” a day in our heads …” What I believe he meant was that there are so many potential threats and risks to the supply chain today that it’s simply impossible to monitor and manage them all … at least not without a very large team. As we know, the automotive supply chain has experienced several major shocks in recent years and – with the stop-start transition to electric mobility – many established OEMs are feeling the strain of having to operate two largely different supply chains (for ICE and EV). This strain comes at a time when they are facing increased competition from new entrants and growing pressure (backed by legislation) to reduce environmental impact. In short, they need to minimize risk and improve competitiveness, but without compromising on their #sustainability missions. This is a major, existential challenge, especially given the complexity and distributed nature of today’s automotive supply chains. This is where partnership with innovative startups and the application of new technology can have a dramatic positive impact. And this is exactly what we’re doing with Prewave – a provider of supply chain intelligence services. Using the power of AI, we’re able to map 1.3 million global suppliers, analyze 150+ risk categories, ‘make use of’ data and information in 400+ languages, and deliver real-time insights to supply chain professionals. It might not prevent every ‘nail’ from heading your way, but it does mean that you’ll be prepared and able to take evasive action. At the Paris Motor Show recently, I had the chance to talk to Prewave CEO and Co-founder, Harald Nitschinger about his impressions of the challenges currently being faced by automotive OEMs, and how our collaboration and use of AI-powered solutions can help automotive OEMs to efficiently scale up their monitoring, management, and risk-mitigation capabilities. Check it out Capgemini Automotive
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🚗🔧 Navigating the Future: AI Solutions for Tier 1 Automotive Suppliers 🔧🚗 As the automotive industry transitions to electric vehicles and navigates geopolitical uncertainties, the need for precision and adaptability has never been greater. At SUCCEED, we have a division which specializes in AI-driven solutions tailored for Tier 1 automotive suppliers, helping you thrive amidst these challenges. 📈 Key Insights from 2023: Growth Amidst Stability: Leading suppliers saw significant sales growth as the supply chain chaos subsided, showcasing the resilience and adaptability of the industry. Strategic Shifts: Suppliers are rethinking production locations and product mixes to cope with the rapid shift to EVs and global trade tensions. Digital Transformation: Advanced technologies and AI are becoming critical in optimizing production, reducing costs, and ensuring the right mix of products. 🛠️ SUCCEED Can Help You: Optimize Production: Use AI to forecast demand accurately and adjust production schedules in real-time, ensuring you build the right products at the right time. Enhance Supply Chain Resilience: Implement AI-driven analytics to identify and mitigate risks in your supply chain, from raw material sourcing to final delivery. Drive Cost Efficiency: Leverage AI to find cost-saving opportunities without compromising quality, helping you stay competitive in a cost-cutting race driven by the EV transition. Boost Collaboration: Foster closer partnerships with automakers through enhanced transparency and data sharing, facilitated by AI tools. The future of the automotive industry is complex and uncertain, but with the right AI help from SUCCEED, you can navigate these challenges and turn them into opportunities. Let's work together to build a smarter, more resilient road ahead. link in comments #automotive #cio #genAI #AI #businessintelligence
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#Manufacturers today navigate a maze of #supplychain challenges, from tariffs to changing suppliers and emerging threats to delivery routes. With the push towards adopting #AI, #robotics, and #machinelearning, the ability to pivot quickly is crucial. Adapting to changes must be done with an understanding of their effects on everyone involved. Without this insight, innovation risks failing.
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Automotive IQ 's 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐟𝐨𝐫 𝐀𝐮𝐭𝐨𝐦𝐨𝐭𝐢𝐯𝐞 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐑𝐞𝐩𝐨𝐫𝐭 2024 is released next week! Register your interest here, and be the first to read this detailed insight: https://lnkd.in/eNXpTK8U
Coming out next week! Automotive IQ 's 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐟𝐨𝐫 𝐀𝐮𝐭𝐨𝐦𝐨𝐭𝐢𝐯𝐞 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐑𝐞𝐩𝐨𝐫𝐭 2024! The report offers in-depth analysis of findings from an industry survey, first-hand interviews, and secondary data collated from publicly-available sources. Find out how Generative AI has evolved from being a buzzword to being a technology that is now defined as a 'transformative force in the automotive industry' with real impact being documented in automotive R&D, product and vehicle design, process automation and cybersecurity among other areas. ‘GenAI is a transformative technology, one that doesn’t come often. And for businesses to stay competitive, they must evolve and grow.’- Roy Fridman, CEO, C2A Security ‘Driven by competitive pressures, automotive companies are compelled to adopt GenAI, ensuring relevance and innovation leadership, with early adopters poised for strategic advantages’ - Augustin Friedel 🚲 🛴 🛵 🚘 Friedel, Senior Manager Mobility Transformation, MHP – A Porsche Company ‘AI expertise will be a mandatory qualification and companies need to prioritize this expertise now’. - Andreas Graf, Senior Vice President Artificial Intelligence & Machine Learning, itemis Be the first to read this detailed insight. Register interest here: https://lnkd.in/eNXpTK8U
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There was plenty of talk about the transformative power of #artificialintelligence within the automotive supply chain at #alscglobal in Dearborn and how predictive AI tools will better anticipate disruptions and optimise capacity planning, ensuring the companies stay resilient in an ever-evolving market. Here are a few key comments and practical use cases shared during last week's event: David Leich, executive director global supply chain at General Motors shared how the carmaker was using AI in conjunction with its supply chain mapping tools to generate risk indicators and alerts in real-time of potential disruptions throughout it's global supplier network from tier 1 to tier n, based on 1000s of media articles and news stories James Mancini, vice president, North American surface transportation at C.H. Robinson highlighted how the logistics provider was utilising Generative AI to scale up rate requests (amassing ~3000 requests per day) for the most up-to-date market pricing related to its north American truckload products. Michael Tickle, director of supply chain planning and performance at JLR, emphasised the need for “AI-based risk scanning” for high-performing end-to-end supply chain management. Marzell Bandur, vice-president transport management & IT innovations, Robert Bosch noted that the company was using AI to optimise and automate truck utilisation, with up to ~80% of daily transportation orders now 'touchless'. I'd love to hear of other practical AI use cases and how AI is transforming your automotive logistics solutions and supply chain strategies.. #automotive #logistics #supplychain Automotive Logistics
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🚗📢 Vehicle Recalls: A Growing Challenge in Supply Chain Resilience Vehicle recalls are not just an automotive industry concern; they highlight the critical role of logistics and supply chain in ensuring swift and efficient resolutions. 🚚📦 Each recall involves complex coordination, from replacement parts distribution to managing reverse logistics for defective components. This underscores the importance of robust systems, transparent communication, and strategic partnerships. 🌐🔧 With recall volumes increasing, leveraging technology like predictive analytics and AI can streamline processes and mitigate risks. 🚀💻 It's a powerful reminder that supply chains are not just operational backbones—they are the lifelines for customer trust and safety. Let’s embrace innovation and collaboration to drive change! #supplychain #logistics #vehiclerecalls #ai #resilience #innovation Full read here: https://lnkd.in/dsQKSie8
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Supply chain risks are challenging the stability and resilience of organisations within the automotive industry. As this sector evolves to reach decarbonisation targets, it is crucial companies consider how artificial intelligence (AI) can be leveraged to reduce the risks associated with changing supply chains.
Exciting news for the automotive industry! Discover how AI is revolutionising the automotive and manufacturing industry by mitigating risk threats in supply chains, giving companies a competitive edge. Our latest article takes a deep dive into this game-changing technology. https://bit.ly/3X4uHs3 Introducing Sentrisk, our cutting edge AI-powered platform. With its advanced data capabilities, Sentrisk empowers businesses to turn supply chain risk exposures into profitable opportunities. #AutomotiveIndustry #Decarbonisation #SupplyChainRisk #Sentrisk
Can AI strengthen supply chains as the auto industry decarbonises? | Marsh
marsh.com
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🚀 **The Role of GenAI in Transforming Manufacturing Processes** In the ever-evolving manufacturing landscape, GenAI is emerging as a cornerstone for driving productivity, efficiency, and innovation. But how exactly is it reshaping the industry? Here’s a deep dive into its transformative potential: 1. **Predictive Maintenance**: GenAI algorithms can analyze data from machinery sensors to predict potential breakdowns, significantly reducing downtime and maintenance costs. For example, predictive maintenance systems powered by AI can foresee equipment failures weeks in advance, allowing for scheduled maintenance without disrupting operational flow. 2. **Quality Control**: Advanced AI-driven inspection systems utilize computer vision to detect defects in real-time, ensuring unparalleled product quality. These systems can spot minute deviations from standard specifications, leading to fewer rejects and higher customer satisfaction. 3. **Supply Chain Optimization**: GenAI enables dynamic demand forecasting, inventory management, and logistics planning. By analyzing vast amounts of data, it identifies supply chain bottlenecks, optimizes routes, and enhances overall supply chain agility. This results in cost savings and improved delivery times. 4. **Process Automation**: From assembly lines to administrative tasks, GenAI-powered robots and software systems automate repetitive processes. This not only boosts efficiency but also allows human workers to focus on more strategic and creative tasks. **Practical Tip**: - Start by integrating GenAI in a single process to understand its capabilities and ROI. For instance, applying AI for predictive maintenance can provide immediate insights and help build a business case for broader implementation. As manufacturing firms continue to leverage GenAI, those that adopt early will gain a competitive edge by optimizing operations, reducing costs, and increasing product quality. The future of manufacturing is smart, efficient, and AI-driven. #Manufacturing #GenAI #PredictiveMaintenance #QualityControl #SupplyChainOptimization #ProcessAutomation #Industry40
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🚀 **The Role of GenAI in Transforming Manufacturing Processes** In the ever-evolving manufacturing landscape, GenAI is emerging as a cornerstone for driving productivity, efficiency, and innovation. But how exactly is it reshaping the industry? Here’s a deep dive into its transformative potential: 1. **Predictive Maintenance**: GenAI algorithms can analyze data from machinery sensors to predict potential breakdowns, significantly reducing downtime and maintenance costs. For example, predictive maintenance systems powered by AI can foresee equipment failures weeks in advance, allowing for scheduled maintenance without disrupting operational flow. 2. **Quality Control**: Advanced AI-driven inspection systems utilize computer vision to detect defects in real-time, ensuring unparalleled product quality. These systems can spot minute deviations from standard specifications, leading to fewer rejects and higher customer satisfaction. 3. **Supply Chain Optimization**: GenAI enables dynamic demand forecasting, inventory management, and logistics planning. By analyzing vast amounts of data, it identifies supply chain bottlenecks, optimizes routes, and enhances overall supply chain agility. This results in cost savings and improved delivery times. 4. **Process Automation**: From assembly lines to administrative tasks, GenAI-powered robots and software systems automate repetitive processes. This not only boosts efficiency but also allows human workers to focus on more strategic and creative tasks. **Practical Tip**: - Start by integrating GenAI in a single process to understand its capabilities and ROI. For instance, applying AI for predictive maintenance can provide immediate insights and help build a business case for broader implementation. As manufacturing firms continue to leverage GenAI, those that adopt early will gain a competitive edge by optimizing operations, reducing costs, and increasing product quality. The future of manufacturing is smart, efficient, and AI-driven. #Manufacturing #GenAI #PredictiveMaintenance #QualityControl #SupplyChainOptimization #ProcessAutomation #Industry40
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Key Highlights at ALSC Europe 2024 in Bonn: Industry experts Torsten Müller (Audi), Adam Jones (Unipart Group), and Gabriel Werner (Blue Yonder) shared their insights. ✔️ Challenges and Opportunities in Automation: Audi's Torsten Müller emphasized a clear strategy and understanding of running costs before automating logistics processes. He also highlighted the long-term investment required and the importance of aligning with shareholder expectations. Adam Jones of Unipart Group discussed the importance of choosing the right automation tools that align with organizational goals. He emphasized creating a digitization and automation roadmap to make informed decisions on automation's impact and ROI. ✔️AI in Logistics and Supply Chains: Torsten Müller advocated for a holistic approach to AI, focusing on optimizing entire processes rather than just individual steps. Gabriel Werner warned against the hype surrounding AI and emphasized the need for innovative, customized AI solutions. Blue Yonder is developing proprietary ML algorithms to overcome the limitations of generic ones. In conclusion, digitalization, automation, and AI hold immense potential to revolutionize automotive logistics, but their success relies on strategic implementation, robust data management, and the indispensable human touch. Invest in advanced AI solutions to save time, reduce routine tasks, and grow your customer base. Muteki Group has proven success in implementing AI across various industries, including logistics and e-commerce. We can help you find the best digital transformation for your company. Contact us today. #ALSC2024 #AutomotiveLogistics #SupplyChain #AI_logistics #AI #AI_development #Muteki_Group
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Data driven business || Strategic alliances at Prewave
1wLaurence Noël very interesting and insightful conversation, the start of a promising collaboration