Request for Quotation (RFQ) in Engineering - Tobias Wigand | Podcast #15

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In this podcast episode, we explore the transformative role of automation in the Request for Quote (RFQ) process, particularly in industries like automotive, aerospace, and manufacturing. Our guest, Tobias, an experienced engineer with over 20 years in the field, shares insights on how automation is reshaping RFQ workflows, improving efficiency, and increasing win rates.
🛠️ Key Topics Covered:
- 🔗 The RFQ Process Explained: Tobias breaks down the traditional RFQ process, from analyzing specifications to creating designs, validating them, and calculating costs. He highlights the growing importance of speed and accuracy due to competitive pressures, especially from markets like China.
- ⚙️ Automation in RFQ: Tobias discusses how automation can streamline repetitive tasks, particularly in simulation and design validation. By automating these processes, companies can reduce development time, improve accuracy, and minimize risks associated with manual errors.
- 🏎️ Real-World Applications: Tobias shares a use case from his experience, where automation significantly improved the RFQ process for an automotive tier-one supplier. By automating simulations and design iterations, his team was able to deliver higher-quality proposals and increase win rates.
- 🤝 Overcoming Challenges: The conversation delves into common objections to automation, such as resistance to change and the perception of automation as a "black box." Tobias emphasizes the importance of trust, education, and change management in successfully implementing automation.
- 🚀 The Future of RFQ Automation: Tobias envisions a future where AI agents play a pivotal role in RFQ processes. These agents could manage tasks across departments, make decisions, and deliver results in minutes, revolutionizing how companies handle complex RFQs.
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Accelerating RFQ responses: www.synera.io/webinar/accelerating-rfq-responses