Digital Transformation In Customs And Taxation A Catalyst For Economic Resilience

The landscape of customs and taxation is experiencing a significant shift, driven by digital technologies and innovative frameworks. This transformation redefines how nations enforce compliance, collect revenues, and engage in international trade. With deepening digitalization, countries are adopting such advancements as AI, blockchain, and machine learning to tackle evolving challenges in the tax and customs sector.

Digital Transformation in Customs and Taxation addresses the concerns, difficulties, trends, and opportunities related to digital transformation in customs and taxation. It provides knowledge and insights to navigate this evolving landscape. Highlights of this book include:

• Customs reform and modernization
• Challenges facing excise and customs tax administration in the digital era
• AI’s impact on customs and taxation
• AI and machine learning in tax fraud evasion detection and compliance
• How AI improves the efficiency of accounting software to facilitate functioning taxes and customs authorities
• Blockchain applications in value added tax collection.

To discuss the problems and nuances of incorporating digital solutions into customs and tax systems, the book looks at how industries employ technology to improve efficiency, effectiveness, and compliance. It presents ways to enable effective and efficient customs and tax services in the digital economy. It also offers practical approaches and solutions for dealing with the challenges that arise when implementing digital transformation projects in this industry. Real-world case studies, examples, and best practices illustrate how to efficiently use digital tools and platforms to improve services.

Filled with insight into how digital transformation can redefine traditional practices, enhance efficiency, and build resilient systems for future demands, this book is a resource for policymakers, academics, and professionals seeking to innovate customs and tax administration.