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    Past webinar

    Harnessing AI for Smarter Supply Chains in Electronics

    Harnessing AI for Smarter Supply Chains in Electronics

    Speaker: CalcuQuote

    Watch our insightful webinar on how AI is transforming supply chain management in electronics manufacturing. At CalcuQuote, we’re leading this change, and we’ll show you why AI is key to our development strategy. Get a sneak peek into the future of AI in our industry, and see how it’s driving smarter, faster decision-making.

    What you will learn Opportunities with AI:

    • Why AI matters and how it’s fueling our innovation.
    • Use Cases: Explore current AI applications like part classification, alternate suggestions, and BOM optimization, plus what’s coming next.
    • Challenges & Leadership: Understand the complexities of AI in our space and why we’re ahead of the curve
    Watch recorded webinar

    Summary of the webinar

    Introduction to AI in Supply Chain

    The discussion revolves around the integration of AI and machine learning in the supply chain, with key insights from CalcuQuote, a company specializing in supply chain solutions. David Sharp, the CEO, leads the conversation, highlighting the potential of AI to revolutionize business processes through data-driven decision-making.

    CalcuQuote's Role in AI-Driven Supply Chains

    CalcuQuote, a part of Elisa IndustrIQ, leverages advanced AI tools and vast datasets to serve the electronics supply chain. Their solutions, which include quoting tools and AI-driven modules, cater to companies from tier 1 to tier 2. These tools aim to optimize processes and provide customers with actionable insights, from supply chain management to RFQ automation.

    Exploring AI and Machine Learning Applications

    AI is being applied in various supply chain areas, such as bill of material (BOM) optimization, supplier API integration, and classification of parts. Through proof of concepts, CalcuQuote has shown AI’s potential in identifying cost-effective alternatives, automating labor calculations, and improving accuracy in pricing and sourcing.

    Overcoming AI Implementation Challenges

    Implementing AI requires large datasets, computing power, and attention to change management. Data inconsistencies, especially in unit measurements or manufacturer names, can pose challenges, but CalcuQuote has navigated these hurdles through machine learning models that refine and clean data for better results.

    Conclusion

    CalcuQuote is at the forefront of AI innovation in the supply chain, continuously improving tools to enhance efficiency, reduce costs, and provide strategic insights. As AI technology advances, the company seeks to drive even more value for its customers, positioning itself as a leader in the industry’s digital transformation.

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