Unconsciously, we have stepped into the era of artificial intelligence. World-class Go masters are helpless against AlphaGo, which seems far from us, but typing text, booking tickets, checking weather, and finding routes—just by speaking to your smart device, voice assistants can easily handle all these tasks. Add to that facial recognition, virtual chatbots, smart homes, and autonomous driving... In the current explosion of AI technology, these are no longer scenes from science fiction. Artificial intelligence is changing our habits, our perceptions, and our lives. In the enterprise services sector, many leading companies have proposed AI concepts and solutions, but truly implemented and practically valuable applications are rare. Among them, Field Service 365 stands out as the first to combine AI with enterprise sales management. Today, we will explore how Field Service 365 is implementing AI in offline sales. Phase One of Field Service 365 AI: Photo Recapture Recognition Artificial intelligence is an inevitable product of the internet's development. Since its inception, Field Service 365 has been committed to using the internet to help enterprises improve efficiency, thus it is able to take the lead in moving towards AI in the enterprise services field. Currently, Field Service 365's AI product is in its first phase, starting with 'photo recapture recognition.' In offline sales, 'photos' are an important medium connecting enterprises to the market. Field Service 365 has a 'on-site photo' function module to prevent selecting photos from the phone gallery, but even so, it cannot completely avoid 'fraud'—taking photos of other phones, Pads, computer screens, printed photos, etc., to circumvent enterprise management. Many of our clients have established inspection organizations with dedicated personnel to review photo authenticity. However, even setting aside the decreasing accuracy over time, we must recognize that many recaptured images are difficult to distinguish with the naked eye, so manual review is destined to be a thankless task. Deepening Scenarios: AI Empowers Offline Sales Why are there so many companies in the enterprise services field, yet so few truly implementing AI? Liu Zhao, CEO of Field Service 365, believes that to apply AI in enterprise services, one must first go through informatization and SaaS phases before reaching the intelligent phase. Without these two phases, the data volume is insufficient, and AI's role cannot be demonstrated. Additionally, scenarios are crucial; AI detached from scenarios is like a flower in a mirror or the moon in water. Persisting in deep insight into enterprise business scenarios is Field Service 365's product philosophy. Why are 'photos' so important in offline sales? Liu Zhao believes this is mainly for consumer goods companies. To sell products well, they need better displays and promotions to encourage terminals to sell more. Thus, 'vivid displays and promotional activities' become core keywords for enterprises, and the management entry point is photos—through photos of storefronts, shop signs, terminal staff, store environments, and inventory, they understand visits and distribution; through photos of shelf displays, pallet displays, posters, and price tags, they understand vivid display conditions; through photos of promotional setups, promotional staff, promotional products, and promotional posters, they understand promotional activities. Many clients, especially industry leaders, set up display awards and other incentives to encourage sales teams to deeply develop and maintain terminal markets, and they continuously allocate funds for promotional activities. The emergence of fake photos indicates that promotional actions are not executed properly, and promotional expenses may be wasted. More seriously, it leads to a loss of control over the market. Using AI technology to intelligently analyze photo authenticity is a means, with the goal of eliminating fake photos as much as possible, thereby ensuring that the entry point for managing offline sales is effective, and the subsequent management of sales teams, customers, products, competitors, and market decisions is also effective. Exploring Entry Points + Learning and Growth: Opening an Efficient Future Liu Zhao stated: "Just as photos are the entry point for enterprise sales management, intelligent photo management is the 'entry point' for AI in offline sales. We know that compared to the past where machines simply followed instructions, the most important feature of AI is its learning ability—machines can continuously optimize algorithms based on experience, make more precise decisions, and improve judgment." Ensuring photos are authentic and effective—'photo recapture recognition' is Field Service 365's first step in intelligent photo management. Through continuous deep learning, the AI platform will be able to perform in-depth image analysis, extract characteristic information from each image, and digitize core information such as the types, quantities, prices, and positions of products shown in the images, helping enterprises quickly connect with the market and greatly reduce labor and time costs. Openness: Let More People Use It Big data is advancing AI, and AI is unleashing the potential of big data. In the enterprise services field, traditional software deployed on single machines cannot generate the massive data needed for machine deep learning. Only by persisting on the SaaS path, as Field Service 365 has done, can we provide big data support for AI evolution. After establishing its own AI recognition application, Field Service 365 not only uses it in its own system but also opens up the capability to other application product companies. After all, open APIs have long been the norm in foreign enterprise services. So, will Field Service 365 provide its AI application to competitors? Liu Zhao smiled and said that Field Service 365 is willing to provide it, but whether to use it depends on each company's discretion. In the SaaS field, companies have already diverged in direction; there are no completely competitive opponents, but rather peers. We hope that domestic peers will cooperate more and reduce redundant efforts. Conclusion SaaS 1.0 is the SaaS of the PC era, SaaS 2.0 is the SaaS of the mobile and cloud era, and SaaS 3.0 is intelligent SaaS. Field Service 365 has clearly taken an important step on the path to SaaS 3.0. Today's consumers, seeking quality, experience, and service, are returning offline. The ability to efficiently control offline channel resources will profoundly affect the competitive landscape. To this end, enterprises need to continuously improve the efficiency of offline sales operations. With the continuous improvement of AI 'wisdom,' to what extent will Field Service 365 further enhance efficiency? The future is here; let's wait and see. -END-