Spare parts database with “Google search function” for accurate part finding. At present, the platform has been able to achieve a satisfaction rate of more than 98.5% for all categories.
Baibu, which has cut in from the textile transaction connection, has further extended its business upstream and set about integrating the excess capacity of the upstream textile factory. This is tantamount to accessing a number of new roles in their own collaborative network, further breaking the linear structure in traditional industries, and thus evolving an industry ecosystem consisting of “line-area-body”.
Who judges which links are valid?
Mike Maples, founding partner of Floodgate Capital, once said that in a highly connected world, “things and things that can accelerate the connection will be more valuable.” The same is true in the Industrial Internet. Industrial Internet companies have accelerated the effective connection by replacing the middlemen who make money with information asymmetry and making themselves the middlemen who benefit both buyers and sellers.
But we ca n’t help asking, is n’t it the fastest way for buyers and sellers to trade directly? In essence, because of the diversity of supply and demand, society will never become a dual structure of only buyers and sellers. Compared with buyers and sellers, the communication between the middleman and the buyer and seller is more frequent, which can better To build trust. This has been fully verified on bilateral platforms such as Taobao and Meituan.
So in a network with at least three parties, the combined links will increase exponentially. Which are the effective links that can speed up the connection?
Where can I quickly generate recommendations on many routes? There are 500,000 sets of equipment in circulation on the market. Why do small and medium-sized enterprises dare to rent without deposit from the first day? Who will complete the complex lease scheme design and rent calculation? Why can the remote intelligent pricing service of the car 300 second-hand car judge the true condition of the vehicle, give a recommended amount of vehicle pricing and loan, and the accuracy rate is as high as 97%?
Who is responsible for these judgments and decisions? If you still rely on people to manage people and business in the network, the enterprise will fall into a mess, because the amount of data to be processed and decided in order to achieve network collaboration in the industry far exceeds the “computing power” of people. This is inseparable from another growth driver of industrial Internet companies: data intelligence, which means that machines make decisions directly.
For Easy Point and Car 300, data intelligence is not only a bonus, but a foundation for survival.
“The lease period of a company’s production and operation equipment starts at least one year. The management dimension during the lease period involves the calculation of rent, the management and maintenance of equipment, the assessment and recovery of residual value, and changes in corporate demand during the lease period. Buying this behavior, the management difficulty of the lease is exponentially increasing. “Ji Pengcheng, the founder of Easy Point, said that if there is no intelligent management system, no one can do it.
CTO Zheng Xin made a seemingly simple need to explain: During the lease period, such asIf a company wants to change the 4GB memory module of a computer to 8GB, it needs to arrange the 8GB memory module to go out of the warehouse, and then arrange for the personnel to come in and replace the memory module into this computer, and the 4GB old memory module When returning to the income database, the parameter information, rent, and residual value calculation of the equipment must be changed simultaneously.
But at first glance, it looks more like a process management system. The areas where data intelligence really plays a role are more reflected in the SME credit risk control model and AI supply chain built by Easy Point Renting.
In order to surpass the service experience of the sales industry, Easy Point Renting has adopted a “deposit-free” model since the first day of launch. Ji Pengcheng said, “At present, Easy Point Renting has a customer pass rate of 60% and a bad debt rate of less than 1. %. “And after 5 years of development, Easypoint has achieved the service standard of” 6 hours delivery and 4 hours on-site repairs “-this service efficiency is still improving, and behind it are AI selection, AI distribution, and services. Site selection and application of intelligent detection equipment are closely related. Each link is not just about improving some people’s behaviors, but doing things that “people” can’t do.
In order to make the data scattered in the various parallel subsystems come alive, and to truly dig out the associations between the data to guide business decisions, Easy Point Renting has built a complete set of systems from the front-end order flow to the back-end workflow. , And try to get through the underlying data to establish their own data center, so that companies really run on the system and data.
Car 300 CTO Zuo Qiangxiang introduced that the low efficiency of the used car evaluation industry is mainly reflected in two aspects. One is that the mature second-hand car appraiser training cycle takes about 2-3 years, and the second is the form of offline evaluation. It takes at least 1-2 hours for the appraisers to come back and evaluate the results. At the same time, no matter how powerful the appraiser can not grasp all the models, and once the appraiser and the car dealer form a binding interest, the operational gray space is huge.
Compared to the traditional evaluation that relies on experience as the basis for decision-making, the basis of the car 300 is all derived from real and real-time data and iterative optimization models. To this end, the car 300 will pick up data from the used car trading platform, such as the cycle of a car’s shelves (this reflects the sales cycle of a car and directly reflects the market heat), model information, price data, transaction, listing Data, user purchase behavior-related data, etc., and finally come up with a transaction price that conforms to market rules.
In the first two or three years of the startup, Che 300 CEO Xu Wei and CTO Zuo Qiangxiang spent every weekend in the second-hand car market, wondering how to get the comprehensive accuracy of only 80% of the evaluation model at that time, and iterative and continuous Optimized and improved accuracy to 97%. The car 300 has also gradually become a big data service provider for a series of automobile trading platforms such as Guazi used cars and financial institutions.
And Zhang Weishi, the head of the Curriculum New House Big Data Research Institute, is currently most proud of analyzing the quality of homes through data insights. In short, who in the same group of clues is more likely to sign online To help sales staff improveHigh network signing efficiency.
The high-level way of data intelligence to improve personnel efficiency is to automate processes.
Where is CTO Wang Yu introduced? Internally, goods are decomposed into three dimensions: cost flow, order flow, and logistics to optimize the process. Recording documents in the order flow takes the most time, and the time-consuming proportion in a single order can reach 40% -50%, followed by route selection and order tracking. That is, the digitization and automation of document circulation can improve efficiency by at least 40%. By systematically interconnecting with relevant roles, using OCR technology to automate the entry of documents, and intelligently generating route plans and advancing order tracking by the system, shipping has improved human efficiency to several times that of the industry.
Where will people go?
“If you make the system so powerful, you will not need us one day.” In a joke of an interviewed company employee, it revealed the underlying worry of people about technological progress-people will be Is artificial intelligence replacing it?
This article does not intend to predict this result. If we think about it carefully, it is not difficult to find that the entire collaborative network is essentially a network of people. It is activated by the transaction needs of buyers and sellers, and trust is established by middlemen. Bridges, sharing potential risks, and pulling people out, the network also disappears.
And from the steam age to the electrical age, to the internet age, and the age of artificial intelligence, countless historical facts have been verified, and scientific and technological progress has indeed replaced people in a certain range. Free from long-term physical labor, but more importantly, it has also spawned new jobs and industries.
As the emergence of e-commerce platforms such as Taobao and JD.com not only gave birth to new types of jobs such as online shop decorators, online store models, e-commerce sellers, etc., but also gave birth to e-commerce agency operation industries. The typical representative is in 2015 in Na Baozun e-commerce listed on Starck has the latest market value of about $ 2 billion. There are express logistics industry and takeaway industry that have been fully integrated into daily life. They are completely symbiotic industries of e-commerce industry and takeaway platform.
What new species will be created by the development of the Industrial Internet is difficult to predict at present, but it is certain that the responsibilities and roles that people have to play in the Internet will change. At least we have seen that within this group of explorers, the scope of responsibilities and work styles of employees have changed.
Where is the business VP Maggie will be shipped to the big customer service analogy “bank teller”, the complex calculation process does not require the teller to hold an abacus to calculate, reducing the complexity of the work itself, and more importantly It is necessary for them to take on “emotional work” and build trust with customers.
The fear of potential risks is the survival instinct of human beings, and therefore it is the first reaction in people’s subconscious to resist unknown new things. But the wheel of history has never slowed down because of anyone’s fearIt is better to think about this question: “What value can you create in the current environment?”
Postscript
Beginning in 2020, the ash of the times has fallen on the heads of every company and everyone. For industrial Internet companies in a collaborative network, “Breathing together, sharing fate” is particularly true. Therefore, in addition to “self-help”, “mutual assistance” is particularly prominent in industrial Internet companies.
Che 300 directly participated in the “War Epidemic”, and developed and launched a new stroke query tool for patients with confirmed coronavirus pneumonia. The query tool will update the query information across the country in real time. The user enters the date, flight / trip number, and area to query whether they have shared with patients diagnosed with new pneumonia.
In order to work together with all the auto industry practitioners to overcome the difficulties, Car 300 planned the “War Epidemic Public Welfare Cloud Class” in the auto industry, and invited well-known big coffees in the industry to jointly decode the industry trends under the epidemic situation and start a full resumption of work in the auto industry. first lesson.
During the epidemic, on the one hand, the founder & CEO Zhou Shihao of Qunar led the establishment of an epidemic protection special group. Under the operation of the special group, the platform has undertaken a number of international logistics needs for donated materials, including from the United States, Japan, Brazil, Russia and other countries, such as masks, protective clothing and other rescue supplies; on the other hand, the platform opened to customers free port area information, container information, shipping information, trailer positioning and other international logistics tools to help customers more Realize the online operation and fulfillment of logistics orders.
Juli New House actively suspended the offline viewing business and launched the “online sales office” at the first time, connecting the back-end system and the front-end online store to help developers effectively improve their online transaction capabilities. Buyers can use VR, three-party video and other technologies to achieve online house viewing, house selection and subscription, and complete the entire process of buying a house without leaving the house through a mobile phone. As of February 24, the online sales office of Curie’s new homes has achieved over 400 subscriptions.
In addition, Juli New House also joined hundreds of brand developers to launch the “2.22 Wayward Housing Festival”, the first pure online transaction in the real estate industry, launching thousands of high-quality real estate and millions of hot-selling homes. The aim is to create a “Double Eleven” in the real estate industry.
Before resuming work, Kaisi Auto Parts has carried out real-time dynamic matching of supply and demand across the country based on the gradually restored auto parts cities and logistics conditions in various places to provide support for normal operations of maintenance plants and suppliers after resumption. At the same time, Kaisi Auto Parts also arranges financial overtime to settle all accounts to suppliers, alleviating the financial pressure on merchants.
From February 25th to March 20th, Kaisi Auto Parts launched a dedicated financial service policy to provide special financial service support during the epidemic period for partners with close cooperation, good credit and excellent annual comprehensive scores. Qualified auto parts dealers can receive monthly interest as low as 1% and the quota as high as 1 million yuan; qualified repair shops can use the original credit products.Further enjoy 3 interest-free installments.
The epidemic situation is undoubtedly a big test for the Easy Point rental of the second headquarters in Wuhan. But in the view of CEO Ji Pengcheng, the more special the stage, the more the mission, vision and values of a startup company are tested. Internally, Yidiandian urgently “shifted the production capacity of the renovation center to other regions” and used this emergency plan to support the resumption of the front-end supply chain. Externally, Easy Point Renting, which is being disturbed by the epidemic, also assumes the responsibilities to industry partners and society. During the epidemic, it provides IT support services to customers in the industry for free during the epidemic, and actively assists a certain cabin hospital in the management of fixed assets and the distribution system.
Collaborative networks make the industry’s upstream and downstream become a closer community. As a living body, enterprises will also be affected by the epidemic, they will cough, they will catch a cold, and they will instinctively fight against viruses. However, as the hub in the network, they are used to take on social and industry responsibilities in this severe challenge because they believe that moving forward together can overcome difficulties and avoid greater losses.
These startups are just a microcosm of the Chinese economy. We believe that Chinese companies will overcome the epidemic, and China’s economy will overcome the epidemic. After the epidemic, more great companies will grow stronger.