1、 Introduction
With the rapid development of artificial intelligence technology, DeepSeek, as a new generation of open-source AI models, is profoundly changing the landscape of the ERP (Enterprise Resource Planning) market. DeepSeek, with its technological advantages and open-source ecosystem, has attracted the attention of many domestic and foreign enterprises, promoting technological innovation and industrial integration in the ERP market.
2、 DeepSeek's technological advantages
The core technological advantages of DeepSeek lie in its efficient architecture design and low-cost training and inference capabilities. The DeepSeek-V3 and DeepSeek-R1 models have significantly improved their inference efficiency through techniques such as hybrid expert models (MoE) and multi head latent attention mechanisms (MLA). For example, MLA technology reduces video memory consumption and computational costs by reducing redundant calculations of the KV matrix. In addition, the training cost of DeepSeek is extremely low, for example, the training cost of DeepSeeker R1 is only $5.576 million, while the training cost of GPT-4 is as high as billions of dollars. This low-cost advantage enables DeepSeek to achieve high performance even with limited resources, breaking the traditional notion of "scale first" in the AI field.
3、 Application scenarios of DeepSeek
DeepSeek has a wide range of applications in the ERP field, covering multiple core business scenarios:
1. Finance and Taxation: DeepSeek can automatically handle complex financial statement analysis and tax declaration, improving the efficiency of corporate financial decision-making.
2. Supply Chain Management: Through data analysis and prediction, DeepSeek helps businesses optimize their supply chain and reduce costs.
3. Human resource management: DeepSeek can be used for recruitment, training, and employee performance evaluation to enhance the intelligence level of human resource management.
4. Intelligent customer service: The DeepSeek based intelligent customer service system can quickly respond to customer needs and provide accurate solutions.
5. Investment research and consulting services: In the financial field, DeepSeek can quickly analyze large amounts of data, provide investment advice and market analysis.
4、 DeepSeek's technological innovation in the ERP market
The emergence of DeepSeek has driven technological innovation in the ERP market. Its open source strategy enables more enterprises and developers to easily enter the AI field, promoting the popularization and deepening of artificial intelligence technology. DeepSeek's technological innovation not only improves the performance of the model, but also reduces deployment difficulty, enabling enterprises to achieve digital transformation more efficiently. In addition, DeepSeek's low-cost training and reasoning capabilities enable more small and medium-sized enterprises to enjoy high-performance AI services, further lowering the threshold for enterprise digital transformation.
5、 Industry integration driven by DeepSeek
DeepSeek's open-source ecosystem is driving industrial integration in the ERP market. Many domestic and foreign multi cloud platforms and technology giants have joined DeepSeek to jointly build a huge AI ecosystem. For example, Alibaba Cloud, Baidu AI Cloud, Huawei Cloud and other leading domestic cloud computing service providers have announced support for deployment and reasoning services of the DeepSeek model. This industrial integration not only accelerates the popularization of AI technology, but also promotes the development of related industrial chains.
6、 The Market Impact of DeepSeek
DeepSeek has had a profound impact on the landscape of the ERP market:
1. Technological competition pattern: The coexistence of open source and closed source models has significantly accelerated the pace of technological innovation.
2. Market competition pattern: The value center is shifting towards intermediaries and terminals such as cloud computing, and market share is facing a redistribution.
3. Industrial development pattern: Cost reduction promotes AI inclusiveness, ecological reconstruction accelerates vertical penetration.
4. International giants respond: International technology giants such as Microsoft, Amazon Web Services, and Nvidia have joined DeepSeek in an attempt to reduce their impact on their own market share through cooperation.
7、 Market Trends of DeepSeek
In the future, DeepSeek is expected to play an important role in more fields, leading the ERP market into a new era of intelligence. Its open-source ecosystem and low-cost advantages will further promote the popularization and deepening of AI technology. In addition, DeepSeek's technological innovation will continue to accelerate, such as its ability to further expand the application scenarios of AI technology in multimodal tasks.
8、 Collaboration between DeepSeek and ERP vendors
Leading ERP vendors in China are joining DeepSeek to enhance the intelligence level of their products
1. Yonyou Network: On February 6, 2025, Yonyou BIP fully launched intelligent services based on DeepSeek-V3 and DeepSeek-R1.
2. Kingdee Cloud: Kingdee will fully integrate DeepSeek into Kingdee Cloud's entire SaaS application and Kingdee Cloud Sky platform.
3. Inspur Haiyue: Inspur Haiyue relies on the Haiyue intelligent agent framework to achieve full adaptation of DeepSeek models.
4. Hande Information: Hande Information has launched a deep cooperation with DeepSeek's affiliated company, Zhipu Huazhang, to develop vertical large-scale models for specific industries.
9、 DeepSeek's open-source ecosystem
DeepSeek's open-source strategy has attracted widespread participation from the global developer community. Its open-source models such as DeepSeek-R1 and DeepSeek-V3 continue to grow in downloads and community contributors on GitHub and Hugging Face. This open-source ecosystem not only drives rapid technological iteration, but also provides more customized options for enterprise level applications.
10、 Challenges and Future Prospects Faced by DeepSeek
Despite significant technological advancements and market recognition, DeepSeek still faces some challenges:
1. Technical challenges: such as maintaining information consistency when processing text with over 100K tokens, and accurately associating video temporal information with language descriptions.
2. Evolutionary direction: In the future, DeepSeek will continue to explore embodied intelligence, self evolving system construction, and green AI.