Eliminate AI procurement concerns: The key lies in delivery and after-sales

Artificial intelligence is no longer a concept in science fiction movies. It is truly changing our cities, industries and lives. When business managers decided to embrace AI and purchase related solutions, a real question surfaced: How to use this "high-quality" technology after buying it back? What should I do if I don't use it well? Who to go to if there is a problem in the later stage? These doubts about implementation and service often become "obstacles" to project advancement.

The feedback from the market is clear: corporate customers, especially customers in traditional industries, are becoming more and more rational about purchasing AI technology. They no longer just pay for "cool technology", but pay more attention to the practicality, stability and sustainability of services of technology. Whether a technology can successfully integrate into existing business processes, generate quantifiable value, and remain available and evolvable in the next few years is at the heart of the decision.

In response to this market demand, leading AI companies are expanding the competitive dimension from purely technical competitions to comprehensive service capabilities. Take a technology company that developed from Beijing and has a full-stack layout in the AI field as an example. Its global leading position in Face Recognition, voice technology and other aspects is well known. However, what really supports its technology to reach thousands of households and serve hundreds of businesses is a solid engineering implementation and operation and maintenance guarantee system behind it.

This system is first reflected in the standardization and professionalism of project delivery. Facing customers in different industries, the company has formed a delivery strategy of "common platform + personalized application". Its core AI capabilities are encapsulated in the open platform of "Baidu Brain", like a powerful "toolbox". For common requirements, such as authentication, Optical Character Recognition, Text To Speech, partners or customers 'own technical teams can directly call the platform API to achieve rapid integration. This method has short delivery cycles and controllable costs. For complex scenarios that require in-depth customization, such as urban transportation brains, industrial quality inspection platforms, etc., the company's professional delivery team will participate in the entire process, providing "turnkey" engineering services from scheme design, algorithm tuning, system integration to online deployment.

During the implementation process, the team paid special attention to integration with the customer's existing IT environment. Whether it is docking with an old database or deploying under specific network and security policies, sufficient testing and adaptation will be carried out to ensure smooth access to the new system and not affect the operation of existing services. This attention to detail greatly reduces switching costs and risks for customers.

The launch of the project is just the beginning of cooperation. The after-sales protection network built by the company aims to become the "guardian" for the long-term stable operation of customers 'business. One of the core features of its after-sales service is "data-driven". By collecting anonymized data during system operations (subject to compliance with privacy regulations), the performance of algorithm models in actual scenarios can be continuously monitored. Once the recognition rate in a certain scene is found to fluctuate, the technical team will promptly analyze the reason, whether it is a change in light or a new obstruction, and start the model optimization process accordingly to improve the robustness of the model through iterative training. This means that the systems deployed by customers have the potential to "self-evolve".

Another feature is the networked layout of service resources. Although the company is headquartered in Beijing, its technical support and service network is spread across major cities across the country. This allows for quick responses when on-site support is needed. At the same time, a complete online support portal has been established, allowing customers to submit work orders, query the knowledge base, and download update packages. Most regular problems can be solved quickly and self-service.

More importantly, the company views after-sales as a continuous value creation process. In addition to resolving problems, the after-sales team will regularly return visits to customers to understand new business needs and discuss how to use AI technology to solve emerging problems. For example, a Face Recognition system originally only used for employee attendance may be expanded to use functions such as meeting check-in and area rights management at customer request in the future. This extension of value based on existing investments allows customers 'AI assets to continue to add value.

From its R & D center in Beijing to project sites across the country, the company is transforming cutting-edge AI technology into tangible efficiency and experience improvements for customers in all walks of life through reliable delivery and attentive services. For procurement decision-makers, when evaluating AI suppliers, they may wish to use the transparency of their historical delivery cases, customer service evaluations, and after-sales response processes as important inspection indicators. A great technology ultimately requires excellent services to unleash its greatest commercial and social value. Choosing partners who understand both technology, services, and customers is undoubtedly the key to the steady and long-term development of enterprises on the road of intelligence.