Research on Digital Transformation Strategy of Multinational Company Sales Based on Big Data and AI
Abstract: In the wake of the COVID-19 pandemic, the digital transformation of industries has become paramount, with multinational corporations (MNCs) recognizing the pivotal role of sales digitization in their development trajectory. This study delves into the multifaceted impact of sales digitization on MNCs, elucidating both its benefits and the formidable challenges it presents. Notably, the integration of big data and artificial intelligence (AI) has revolutionized the collection and analysis of sales data, offering MNCs unprecedented insights into consumer behavior and market dynamics. By leveraging big data and AI technologies, MNCs can optimize their operations and substantially reduce the costs associated with data collection, particularly in diverse and segmented markets. This transformative synergy plays a pivotal role across various domains, including market analysis, predictive modeling, customer relationship management, and the formulation of agile marketing strategies. Despite these advancements, research reveals that MNCs continue to grapple with significant barriers and complexities in the process of sales digitization. This article aims to bridge this research-practice gap by offering pragmatic solutions and actionable strategies tailored to address the identified challenges. By emphasizing the importance of organizational agility, talent acquisition, and strategic partnerships, MNCs can effectively navigate the complexities of sales digitization and unlock its full potential. Ultimately, this study seeks to provide a comprehensive understanding of the evolving landscape of digital sales in MNCs, culminating in a nuanced conclusion that underscores the imperative of adaptability and innovation in an increasingly digitized global economy.
Authors
- Yuxin Ling
Institutions
- Taiyuan University of Technology (CN)
Publication Details
- Journal
- Advances in Economics Management and Political Sciences
- Published
- 2024-10-25
- DOI
- https://doi.org/10.54254/2754-1169/103/20242369
- Citations
- 1
- Primary Topic
- E-commerce and Technology Innovations
- Type
- article
- Field-Weighted Citation Impact
- 0.68