Principles to follow when deploying generative AI in transportation and logistics

It is perfectly fine that you have proven use cases, but a path will have tough challenges to follow. You can maximize your success in deployment by following the mentioned principles as your guide.

Exploring- Based on your service sector, first identify the pros and cons of generative AI for your business. To get started, search full value of your industry followed by ongoing trends.
Planning- It gives a framework to every decision. It reduces costs, assesses data, and performs deep analysis.
Pilot- Once the finalizing of the research and planning have been done, identify the data sources and process data and prepare an implementation roadmap to deploy in appropriate architecture.

Scaling- Scale up your business through the resolution of pain points, systems integration that solve or add value to problems solved, and measuring results. References High-value use cases for gen AI models.
Innovation: Never make just one design. Be in continuous review of technology and use case alongside user feedback.
https://www.samyak.com/news-post/top-7-use-cases-of-generative-ai-in-the-logistics-industry/