According to the latest data from the Traffic Management Bureau of the Ministry of Public Security, as of January 15, 2018, the nation’s vehicle population reached 217 million, of which 170 million were small and micro passenger vehicles registered in the name of individuals. The average average cost was 4043 yuan, and the industry as a whole formed a market scale of 'trillion-dollar'. Unlike the pseudo-demand of other vertical o2o industries, the scale of users in the automotive aftermarket is huge. Users just need to have strong pain points and the overall trend is good.
However, in the past 2017, the automotive aftermarket is not calm, and the internal shuffling within the industry continues. Many startup companies fell before the market broke out. The maintenance process was not transparent, the workshop workers were passively completed, the staff patrolled the shop at high cost, and the maintenance level was certified. Cumbersome, sales subsidies can not be verified, store traffic is difficult to calculate, the old users sticky instability ... These become the constraints of the current car market.
Data Enabling Chain Stores
With the standardization of offline retail stores such as auto aftermarket and the rise of online e-commerce, the concept of 'new retail' has also begun to rise.
In the next decade or two decades, there will be no e-commerce, only the new retail concept, that is, online and offline and logistics must be combined to create a real new retail, offline companies must go To go online, companies on the line must go offline, online and offline, together with modern logistics, to truly create new retail. 'In October 2016, Ma Yun first proposed 'New Retail'. This fire then the concept of street alley.
Afterwards, Ma Yun proposed a new property of 'new retail' that maps to the chain industry. In addition to the basic attributes of standardization, process, scale, and cost, he mentioned that the future will be smart to enable chain stores. Terminal operations.
'When we communicated with the managers of many chain industries, we found a convergence point: When the number of stores in a chain is 25-35, the single store's ping effect and gross profit margin are higher, but when the number of stores is greater than 35 At that time, the single-store ping effect and gross profit margin were on a downward trend. ' Recently, at the Think Tank Summit held in Beijing Automotive Service World, Xiong Rui, head of the Automotive Aftermarket Division of Shanghai Youluoke Electronic Technology Co., Ltd. accepted the interview. He believes that everyone has his own understanding of the popular 'new retail', and in his opinion, the new retail can use AI technology to enable the use of data to address the disadvantages of the offline chain of auto after-market industries. .
With the expansion of the terminal, enterprises may face an ever-expanding management radius, and managers' tentacles for the terminal are also being continuously extended. This results in a period of terminal operation that is almost inconsistent with the period of terminal retail management required to match. "In Xiong Rui's view, not only for the automotive aftermarket industry, but nowadays, offline store chains may be faced with the problem of how to obtain real and efficient store information at the management level. For operators of chain stores, It is difficult to completely control the terminal.
How to break the management boundary of the offline chain stores? Xiong Rui said that what they want to do is to collect and interpret data from multiple angles through face recognition, image capture, and other techniques, and guide the operation through data to help the final management of the company. one kilometer.
Weiluo Ke spent 9 years to build a smart store that can collect facial expressions of customers through the camera to analyze customer's emotions, age, etc. It can also monitor the condition of the vehicle, the date of manufacture, the maintenance work station, and the maintenance work status of employees. Etc. Remodel the offline scenes of 'people, goods, field' to predict possible anomalies or trends. ' Xiong Rui introduced.
Specific to the 'people, goods, field' scenario, Xiong Rui said that the most important part of the AI technology is a smart data acquisition. First, consumer attributes can be collected, from gender, age, to the frequency of the store. , And to the store rate, conversion rate, etc.
Secondly, through the accurate license plate recognition technology of Youluoke, you can automatically obtain the vehicle's approach time and departure time, thus helping the manager to calculate the arrival time, departure time, in-shop time, etc. of the entire store vehicle. To see the utilization rate of each store, as well as the maintenance period of each car, to find out the problems in the terminal stores by checking the traffic information of the country, and properly handle them.
In addition to this, it is also possible to obtain data on the relevant personnel behaviors, to understand the environmental behavior data of daily terminal personnel, service flow data, and data on basic technicians and technicians of all terminal technicians.
It is reported that among the merchants who have used Veliko solutions, the average single store sales in 2016 increased by approximately 21%, the key class A promotion rate was 37%, and the average use of terminal management increased from 4-5 to 17 / People, up to 51 people/person, the management cost is reduced by about 30%. However, in the process of promoting the solution, there are also many practical problems. 'The biggest difficulty in the promotion of smart stores is the 'person' '. Xiong Rui said frankly, 'Because it will involve the existing interests of different employees, in the landing link, it also requires a certain degree of market education and development.'
