Digital Transformation in Customs and Taxation

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.

Some of the highlights discussed by 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
Digital Transformation in Customs and Taxation: A Catalyst for Economic Resilience 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. It presents ways to enable effective and efficient customs and tax services in the digital economy. 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 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.