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The Potential & Pitfalls of AI in the Consumer Goods Industry with Lasse Holmstedt
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AI in supply chains isn't just about crunching data—it's about creating bridges between complex info and everyday decision-making.
In this episode, Lasse Holmstedt, VP of Engineering at Alloy.ai, joins us to discuss the dynamic role of generative AI and large language models within the consumer goods sector. Throughout the conversation, we delve not only into the innovative application of AI technologies that encompass forecasting and data harmonization but also highlight the critical importance of maintaining clean and accurate data for AI effectiveness.
Listen in for a deeper understanding of the potential and pitfalls of using pre-trained AI models. Along the way we’ll also explore strategies to safeguard sensitive business data and discover how AI can transform sales and demand planning processes.
Three Key Takeaways:
- Explore leveraging textual and qualitative data in addition to numerical approaches to enhance decision-making processes while mitigating risk
- Consider applications of AI for enhanced visibility and predictive capabilities in inventory management, forecasting, and cross-platform product matching for more efficient operations
- Establish a clear data governance framework to ensure that data fed into AI systems is accurate, up-to-date, and free from errors, laying a solid foundation for reliable AI outputs
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