Manufacturing Today Issue - 228 Sept 2024 | Page 24

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transformed from a system of record to a system of insights and action . These new capabilities are empowering businesses and workers to adapt in the face of uncertain market conditions .
AI-powered ERP enhances decisionmaking through real-time data analysis and predictive insights . If used correctly , manufacturers can anticipate market trends and fine-tune their operations . Predictive insights can also help forecast demand , optimize inventory , and prevent downtime by predicting equipment failures .
With the potential that AI brings , it ’ s not so surprising that our latest survey of 1700 global supply chain management leaders reveals that almost two-thirds ( 63 percent ) of high-growth organizations have integrated generative AI into their respective supply chain operations through their ERP and SCM software applications .
Early adopters of AIpowered ERP reap gains
The future of ERP in manufacturing is already taking shape , with early adopters showcasing the transformative power of AIpowered platforms .
In the Formula 1 industry , the Visa Cash App RB team , use our AI-powered ERP to manage every phase of their manufacturing and engineering process . From the initial design to the labor-intensive task of building the car , including laminating carbon fiber and assembling over 14,000 individual components . The AI-powered ERP system constantly analyses and updates each element to deliver tiny improvements that boost race speed and on-track performance .
Visa Cash App RB is also leveraging AI-powered technology for code assistance , automating procurement , and conversational ERP , making processes more efficient and enabling the team to focus on innovation and performance . AIpowered ERP systems support both complex manufacturing processes and drive significant performance gains .
But what ’ s next ?
While sometimes slow to adjust to new technologies , the manufacturing industry is on the verge of AI-powered transformation .
Through AI-powered ERP systems , manufacturers can effectively tackle ongoing challenges and unlock new opportunities , all while improving efficiency , flexibility , and operational intelligence .
Moving away from legacy systems to
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