In 1912, the Chinese people advocated the food and nourishment of grains, and Laojin, as a small shop that processed and grinded grain food, gradually came into the public eye.
In the 90s of the last century, Mr. Jin Qiu, the heir of Lao Jin, came to Pingfeng Street in Hangzhou with the ancestral grinding process and opened the first small grinding workshop, and the old gold mill gradually gained popularity.
In 2008, the third-generation heir of the old gold mill party, Jin Bo, seized the opportunities and business opportunities brought by e-commerce, and resolutely chose to enter the field of e-commerce.
is also full of passion and expectation, and Lao Jin Mofang has embarked on a path of cost reduction and efficiency improvement in digital transformation.
Today, we are fortunate to invite Cheng Jie, CIO of Lao Jin Mofang, who will discuss the importance of digital transformation from different perspectives such as CIO, IT, and business, and share Lao Jin Mofang's practical experience and experience in this change.
Digital transformation is not a face-saving project, and businesses must know what they need most
With the continuous evolution of the globalization pattern and the rapid development of information technology, the superposition of multiple factors is driving a profound industrial transformation. Digitalization, as the core force leading the change, extends its influence from the construction of infrastructure to the reshaping of the industrial economic structure, indicating that a new wave of change is coming. As a key driver of enterprise digital transformation, CIOs urgently need to gain insight into industry trends and reveal essential problems to avoid various risks and pitfalls that may be encountered in the process of digital transformation.
I came from an IT background, and then moved into a management position. Whether it's technology or business management, I believe that the core philosophy is to focus on customer needs. If IT only has a solid technical foundation and cannot go deep into the hinterland of business processes, it will be difficult for the IT department to gain insight into the rationality of information construction needs, let alone solve problems comprehensively.
During the digital acceleration, we worked to shorten the distance between products and consumers to meet user needs faster, but many platforms did not have access to plaintext data, and even conventional interfaces were difficult to achieve seamless integration. This poses a more demanding challenge for enterprise IT managers, not only to change processes from a technical perspective to reduce human input, but also to think from a business perspective about which departments this data can help, so as to maximize the value of data and inject momentum into enterprise growth.
Once we had identified our needs, we set out to explore AI tools to get the data we needed in a secure, efficient, and cost-effective way.
Artificial intelligence (AI) has become a hot topic in today's business landscape. From the early days of ChatGPT to the latest Wensheng video technology Sora, the wave of innovation is dizzying. However, ROI is always the most critical consideration for enterprises, and it is important not to be greedy for money and profit, so as not to end up in failure.
Therefore, in the process of selecting AI products, we take a systematic approach to ensure that the selected products meet our specific needs and bring about substantial improvements. One is to closely integrate with the actual needs of the enterprise, which requires us to conduct an in-depth analysis of the current work process; The second is that we understand which companies in the same industry have adopted AI technology through research, and the results are remarkable, so as to provide reference and reference for our selection; Third, the focus should not only stay on the surface, but should be based on the overall situation and plan for the long term.
To give you a simple example, we collect user reviews through the real agent digital staff, and extract specific information from a large amount of data through NLP technology, such as consumer evaluations of the product as "delicious", "too sweet" or "not too sweet", etc., and then quantify these feedbacks, and find out how many people think the product is delicious, how many think it is too sweet, and how many find it unpleasant among 1,000 consumers.
In this way, we are able to translate the voice of the consumer into concrete data points to quickly and accurately grasp the pulse of the market. Furthermore, we feed these data back to the R&D team, providing solid data support for product development. This data-driven decision-making approach is one of the aspects that we believe we have done well in AI applications, and it is also a solid foundation for us to continue to optimize and upgrade AI applications in the future.
The essence of digitalization is to improve efficiency, and enterprises should make the most appropriate choice according to the current situation
Digital transformation is a journey of systemic innovation that involves the entire enterprise. It requires entrepreneurs to stand at a strategic height, abandon inertial thinking, establish clear digital transformation goals, point out the way forward, and explore a way to break the digital transformation situation in line with their own characteristics. The challenge for today's businesses is far more than the technology itself, but a race for speed and efficiency.
In an era of volatility, uncertainty, complexity, and ambiguity, VUCA must be able to respond quickly to market changes. As the old saying goes: "The world's martial arts, only fast is not broken", which just highlights the core position of efficiency in the development of enterprises. For enterprises, if one person can control three computers and complete the workload equivalent to three people, this not only greatly improves work efficiency, but also saves costs for enterprises, which is the inevitable trend of modern enterprise development.
For example, in the To B business field, we have settled in direct sales platforms such as Jingcang and Maochao. These platforms have strict specifications for the format of product offerings and document submissions, which can be time-consuming if they rely on traditional manual methods to adjust the format. In order to improve work efficiency, we have introduced a real agent digital staff who can quickly and accurately convert our order data into the specific format required by JD or Tmall. Employees can now take short breaks, such as pouring a cup of coffee or making a cup of tea, allowing digital employees to automate otherwise tedious formatting tasks, greatly improving job satisfaction and happiness.
In a market where digital employees are favored, finding a partner who can provide long-term and stable services requires comprehensive consideration from multiple dimensions.
First, we must confront the inherent inertia of human beings. In my conversations with many CIOs, I have observed that enterprises face many challenges in the application of IT products. In the current economic climate, it is unrealistic to expect IT staff to go deep into the business domain or to master complex IT tools. This not only burdens employees, but also does not match their professional skills. After all, humans are naturally resistant to learning and prefer to choose a relaxed lifestyle, such as watching short videos, browsing social media, or relaxing.
Therefore, in the selection of tools, we pursue not only to ensure the stability and security of the tool itself, but also to provide the necessary support and services to help enterprises make efficient use of the tool. We don't want to just hand over the tools to the business and let them explore it on their own. For employees with technical skills, they can use these tools to build the company's information system; For teams that lack this ability, they can get the assistance of service providers to ensure that the informatization measures can be implemented smoothly, which provides a double insurance for enterprises.
Real Intelligence is a leading artificial intelligence enterprise in China, with deep accumulation and comprehensive service strength in the AI+RPA technology service industry, and its platform-level products are Real Agent and Databao, focusing on meeting the various needs of large and medium-sized customers in the process of automation implementation. It is precisely because it can provide customers with out-of-the-box products, technical support and after-sales service comprehensive value attributes, which makes Real Intelligence unique among many competitors and has become the preferred partner of Laojin Mill.
Digital transformation, get results from the point, verify multiple lines, and finally promote it in an all-round way
Throughout several waves of industrial revolution and scientific and technological change, without exception, it is scientific and technological innovation and technological change that have promoted the progress of the times. The fourth technological revolution represented by digital technologies such as big data and artificial intelligence is obviously different from the previous three, the first three changes successfully separated machines and people, and the fourth wave of technological innovation pays more attention to the integration of people and machines. I've seen a case where someone used ChatGPT to treat their own illness, and by entering the symptoms, ChatGPT provided the treatment, and eventually the patient recovered, although the attending doctor initially doubted it.
For enterprises, AI tools have become a tangible productivity and greatly improve work efficiency. Especially in the field of customer service, such as during the hot sale of products in the live broadcast room, there is a surge of consumer interest, and they will ask a lot of questions in a short period of time. In this case, even a large number of agents can face reception bottlenecks. To this end, we have deployed a real agent to automatically reply, which allows us to quickly respond and reassure a large number of waiting customers, which greatly improves the processing efficiency.
After getting results that exceeded expectations, we replicated them in other scenarios. As mentioned earlier, the acquisition and analysis of evaluation information used to require three employees to devote one day to complete, which consumed a lot of manpower and cost. Now with the Real Agent, we can start it after hours, let it run automatically, and get results the next day, or even faster. Moreover, this part of the data is automatically transmitted to our data center and displayed in the BI tool, which improves the efficiency and accuracy of data processing.
In addition, we have integrated live streaming data into our data center by using the real intelligence "Capture Data Treasure", which has achieved daily business analysis, shortened decision-making time, and improved decision-making efficiency. This is especially important when it comes to advertising on platforms like Douyin. If a company delays the delivery results for a few days, it will have to bear a lot of costs every day. Therefore, being able to make decisions in the first place is the key to reducing costs and improving efficiency for enterprises.
At the end of last year, our company launched a corporate digitalization plan. In the process of reporting, I suggested that "let AI empower employees" should be the first task: that is, to fully empower employees, improve their digital cognition and ability to use AI tools, and at the same time stimulate the innovation vitality of the workforce, so that the whole enterprise can make a hole in the effort to accelerate the full realization of digital transformation.
Embracing the new era, in a sense, is embracing and embracing all kinds of foreseeable and unknown changes. Digital resources run through every link of the industrial chain in various forms, deriving infinite possibilities of "new combinations". Therefore, for enterprises in the new era, it is possible to realize unlimited possibilities only by actively embracing the various changes brought about by scientific and technological innovation. In the future, the people and companies that will really have an advantage over the competition are those who know how to use AI tools.