On-Demand Webinar:
Navigating Retail Tariff Challenges with AI & PLM
The tariff landscape is shifting – how are you staying ahead?
Retailers and brands are facing unpredictable tariff changes that directly impact costs, supply chains, and bottom lines. With executive orders enforcing tariffs almost overnight, organizations need agile solutions to adapt in real time. In this on-demand video, our experts dive into how Bamboo Rose’s TotalPLM™ platform and AI-fueled decision intelligence can help businesses respond proactively.
Why watch this?
This video is essential for retail leaders, sourcing teams, and supply chain professionals looking to navigate the complexities of tariffs without missing a beat. Learn how AI and PLM technology can provide the agility and insights needed to maintain profitability in a rapidly changing trade environment. There’s no need to fly blind, we’re here to help!
Watch now to learn:
- The latest tariff trends and why today’s environment is more volatile than ever
- How to streamline tariff management with real-time HTS updates
- Ways AI-driven decision intelligence accelerates response times and enhances cost visibility
- Practical strategies for minimizing disruptions and optimizing supplier relationships
Meet the experts:
- Jennifer Schiffman, CMO @ Bamboo Rose
- Marcia Kissel, Licensed Customs Brokers & Product Manager @ Bamboo Rose
- Rupert Schiessl, CEO & Cofounder of Verteego (now Bamboo Rose)
Key takeaways:
📌 Marcia Kissel: “HTS codes are updated constantly, and if you’re not staying on top of them in real time, you’re risking major compliance issues and unexpected costs.”
📌 Rupert Schiessl: “AI-driven insights allow retailers to react faster, identifying risks and opportunities before they impact the bottom line.”
📌 Jennifer Schiffman: “Retailers are dealing with tariff changes that happen almost overnight, making it nearly impossible to plan ahead without the right tools.”
Don’t let tariffs derail your retail operations. Watch the recording now and schedule a meeting with our team.
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