Purchasing Baidu AI, how to guarantee after-sales?

In terms of Zhihu, we often see questions from project leaders, CTOs, and product directors from all walks of life: "After evaluating multiple AI suppliers, the technical demos all look good, but if we really cooperate, will delivery be delayed? If there is a problem online, who should you call? What about subsequent technical upgrades?" These issues point directly to the core anxiety of enterprise-level procurement-sustainable service guarantee. Today, we will take the Baidu AI solution of industry leader Beijing Baidu Netcom Technology Co., Ltd. as an example to deeply disassemble how it builds a delivery and after-sales system that provides B-end customers with confidence.

** 1. Delivery is not the end, but the starting point of value co-creation **

Many companies understand "delivery" as the end of the project, but in Baidu's view, delivery is a key link for in-depth cooperation between the two parties to ensure the implementation of AI value. Baidu's delivery team is usually led by solution architects with deep industry knowledge. For example, for smart community projects, the architect will conduct in-depth research on community management pain points, peak flow patterns, security level requirements, etc. in advance to ensure that customized solutions based on "Baidu Brain" Face Recognition, behavioral analysis and other technologies are not a hard-copy of technology, but a precise empowerment of business.

The delivery process is highly standardized and transparent. Baidu will provide a detailed project implementation roadmap (Roadmap) to clarify each milestone, deliverable and acceptance criteria. Agile collaboration tools are used during the process, allowing customers to track progress in real time. This "sunshine" delivery management effectively avoids the loss of trust caused by information asymmetry. More importantly, Baidu has the "hard power" to support large-scale AI application deployment. Its data centers and huge GPU clusters located in Beijing and other places ensure that the system can be smoothly launched even in the face of high concurrency and massive data processing needs. This is an infrastructure advantage that many start-up AI companies cannot match.

** 2. Three-dimensional after-sales support: the evolution from "fire fighting" to "early warning"*

After the system was launched, Baidu's services have just entered the in-depth stage. Its after-sales support system can be summarized into three levels:

1. ** Instant response layer (7x24 hours)**: provides multiple access channels such as telephone, online work orders, and dedicated technical support groups to ensure that any questions can be accepted as soon as possible. The front-line support team has been strictly trained to solve most routine configuration and usage issues.
2. ** Expert diagnosis level **: When the problem involves core algorithms or complex system interactions, it will be quickly upgraded to a second-line expert team. These experts come from various core technology departments of "Baidu Brain"(such as the Vision Technology Department and the Voice Technology Department). They can carry out source-level debugging and in-depth optimization. For example, a scenic spot experienced fluctuations in its recognition speed during the summer rush. Baidu experts analyzed algorithm links and resource scheduling, and provided an optimization plan and implemented it within a few hours.
3. ** Active operation and maintenance and value-added layer **: This is the most differentiated part of Baidu's after-sales service. Baidu will provide customers with regular "System Health Reports" to analyze operational indicators and warn potential risks. At the same time, based on business data feedback, Baidu's algorithm engineers will proactively propose model optimization and iteration plans. This means that the AI capabilities purchased by customers are not static, but will "learn" and "grow". This continuous value appreciation firmly grasps the fundamental demand of enterprises to maximize the benefits of AI investment.

** 3. Reliable commitments backed by national strategies **

As a benchmark enterprise for the layout of the entire domestic AI industry chain, Baidu has undertaken a number of national-level scientific research tasks and taken the lead in the establishment of a national engineering laboratory for in-depth learning technology and applications. This background has had a profound impact on the service guarantee of its commercial projects. On the one hand, this means that Baidu follows the highest level of technical research and development and engineering management standards, and its deliverables are more guaranteed in terms of safety, reliability, and compliance. On the other hand, the identity of the "national team" also means higher self-requirements and social responsibility, and more determined in fulfilling service commitments.

** 4. Real case: How to cash in on service guarantee **

Taking the financial industry as an example, a large insurance company uses Baidu AI to conduct identity verification for remote insurance. During the project delivery phase, the Baidu team optimized the system response time to milliseconds on the premise of ensuring a recognition accuracy rate of more than 99.7%, fully meeting the ultimate requirements of financial business for security and efficiency. After going online, Baidu not only provided seamless technical support, but also combined with new fraud models in business data to iteratively upgrade the model every quarter, so that the anti-fraud capabilities of the verification system continued to improve. The person in charge of the insurance company's IT commented: "Choosing Baidu is not only because of its competition-level algorithm, but also because of its long-term service ability to protect our business like a partner."

** Summary **

For B-side procurement decision-makers, evaluating an AI solution is essentially evaluating a long-term technology partner. Baidu AI has built a comprehensive foundation of trust through its rigorous and transparent delivery process, multi-level and three-dimensional after-sales support system, reliable standards based on the national engineering laboratory, and the consistent concept of value co-creation. Its answer is not only "what to do if something goes wrong", but also "how to make the system better and better and how to make the investment continue to take effect." This may be the certainty that industry leaders bring to the market beyond technical parameters.