With the rapid development of artificial intelligence technology, Imagex has attracted much attention as an image processing technology. However, despite Imagex's theoretical appeal and potential, in practice many businesses found that it failed to generate the business revenue they expected. This article will explore the reasons why Imagex does not bring business revenue, and make some suggestions so that enterprises can better utilize Imagex technology. First of all, one of the main reasons why Imagex does not bring business revenue is insufficient market demand. Although Imagex has potential application value in image processing, such as face recognition, image classification, etc., these functions are not needed or urgently needed by every enterprise. Therefore, even if an enterprise invests considerable resources in developing and promoting Imagex-related products or services, it may not be able to achieve the expected business revenue due to limited market demand. Secondly, Imagex technology still faces some challenges in practical application. For example, Imagex may have recognition errors in image processing of complex scenes, lighting conditions and angles. This means that the accuracy and stability of Imagex technology may not meet the needs of some specific industries and fields. Since enterprises have high requirements for reliability in image processing and analysis, if Imagex cannot provide solutions that meet these needs, enterprises may not choose to adopt Imagex technology, resulting in no growth in business revenue. In addition, the lack of a suitable business model and marketing strategy is also one of the reasons why Imagex has not brought in business revenue. Although Imagex technology has potential, companies need to develop practical business models and translate it into specific products or services to meet market demand. Additionally, an effective marketing strategy is essential to ensure you attract customers and grow your business revenue. If the company lacks consideration and practice in business models and marketing strategies, even if Imagex technology itself is attractive, it will be difficult to bring business revenue to the company. In response to the situation where Imagex fails to bring expected business revenue, the following are some suggestions: 1. Understand market needs: Before deciding to use Imagex technology, companies should carefully study market needs and user needs to determine whether Imagex can meet these needs. If market demand is limited, companies can consider finding other suitable solutions. 2. Optimization technology: Imagex technology requires continuous optimization and improvement to improve accuracy and stability and meet the needs of different industries and fields. Enterprises can work with technical experts and R&D teams to improve Imagex technology and provide customers with more reliable and efficient solutions. 3. Develop practical business models: Companies need to think about how to transform Imagex technology into specific products or services and develop practical business models. By clarifying product positioning and formulating appropriate pricing strategies and service models, companies can better empower Imagex technology and achieve business revenue growth. 4. Effective marketing strategies: Businesses need to develop effective marketing strategies to attract customers and promote Imagex-related products or services. Through advertising, promotional activities, industry exhibitions, etc., companies can increase exposure, attract the attention of potential customers and establish cooperative relationships. In short, there may be many reasons why Imagex technology, as a potential image processing technology, fails to bring business income. Enterprises need to carefully study market demand, optimize technology, and develop practical business models and marketing strategies in order to better utilize Imagex technology and achieve expected business revenue growth.