In food, clothing and housing, the degree of Internet transformation of “living” is the lowest.Although relatively slow, the new era of residence is coming.As the digitalization of China’s real estate industry continues to advance, interactive scenarios and living experiences will be reshaped.In 2018, the chain home network was upgraded to shell hunting. As of the end of December 2019, shell hunting has been stationed in 106 cities across the country, connecting 235 new brokerage brands, 38,000 contracted stores, and more than 360,000 connected brokers.Without discussing its business model, it is certain that the technical strength and data accumulation of the shell have been polished for many years.Judging from the SaaS system alone, there are great differences between different cities in the real estate brokerage industry, and the shell system can support it to quickly enter from more than 30 directly-managed cities where the chain home is located to more than 100 cities.Shell positioning as a “technology-driven new residential service platform” has made some contributions to the industry’s infrastructure construction.The real estate dictionary established from the chain home has invested 1.1 billion before and after. Currently, the number of real listings has exceeded 206 million, covering 500,000 communities in 326 cities. At the same time, Rushi has scanned and reconstructed 3.3 million sets of VR.Real estate, becoming the world’s largest VR database.When technology and data become new production factors, what changes will China’s residential industry face?Recently, 36 氪 interviewed Yan Mi, the CTO of Shell Finding House, and talked about the thinking of Shell about technology and how technology can reshape the new residential industry.In this special interview, Yan Mi shared four judgments: Data is more important than algorithms. If the data foundation is good, AI engineers will become “adjustment engineers” in the future; SaaS has changed from 1.0 in the PC era to 2.0 on the mobile side.The future will be SaaS 3.0 based on AIoT device context awareness; service industry AI cannot replace people, and its core is to solve the problem of variance between practitioners. AI assistants in the toB field will have great opportunities in the future; future hardware devices will becomeMore general, just like smart phones, industry applications can write APPs and write software. In the future, IoT platforms for more industries will appear, making the combination of software and hardware easier.Here is the conversation (edited).Yan Mi, the CTO of Shell Finding Housing, talks about Shell: Internet Practice in the Housing Industry 36: Shell positioning as a “technology-driven new residential service platform”. What dimensions does technology here specifically include?Yan Mi: The technology of shells is actually to build brand-new data interactions around people, rooms and guests.On the one hand, we have three underlying data models: one is the knowledge map based on the real estate dictionary, the other is the relationship map of people, housing, and customers, and the third is the server model, which defines professional brokering and credit grading for professional brokers.Man portrait.On the other hand, we are also making innovations in the application of intelligent scenarios, such as Beike intelligent hardware, Beckham AI assistant, and so on.36 氪: What is the thinking of shells when using technology to transform the residential industry?Yan Mi: The first and most basic step is to manage the business processes and data first through the system to achieve online and standardization. The second step is data mining. With the data, you can do intelligence.After Tencent proposed the concept of the Industrial Internet in 2018, now everyone is talking about informationization, standardization, and intelligence, but the shell has indeed explored a lot, which is also in line with it.Why does the Industrial Internet appear?You have to look at the development of China as a whole, because every industry is faced with the problem of improving efficiency-the disappearance of user bonuses, higher costs, and increasing competition.The Industrial Internet is to digitalize all aspects of the industry, and then analyze and optimize it.36 氪: How did these shells go?Yan Mi: In 2009, the chain family began to digitize and standardize people and houses. It has done much in the past few years.There are two things worth noting about digitization: first of all, you can’t just look at the magnitude, but also the depth of the number.What the user sees on the shell is a listing, but there are 443 fields corresponding to the back of the platform, which has become the most granular and widely covered housing information database in China. This is one hundred and one billion invested by us.The point is established; secondly, the closed loop of data acquisition must become natural in the business process.The information in the offline link is manually entered, and the conversion will be missing.For example, the agent showed them, who did they take, and which house did they see?Did you really go?Are you looking at the real house?This information is not completely guaranteed to be true and effective. This is a problem to be solved in the future. Smart devices can be used to make data acquisition more natural.And intelligence is a natural thing.A year ago we suddenly found that there was a lot of data in our hands. Is it possible to use a mature algorithm to do a little AI?We have made a few good applications now, such as the uneven service level of brokers, we have designed some tools to make the variance between brokers smaller.For example, Beckham ’s assistant, sometimes some brokers do n’t know how to answer the customer ’s question, or even how to ask, Beckham ’s assistant can analyze how a senior broker does it, and then prompt him how to answer.When the user asks, is there an elevator in this house?Beckham will prompt: Do you have elderly or children in your family?36 氪: How many kinds of intelligent hardware does Shell have now?What are their characteristics?Yan Mi: In July 2019, we established the Beike Intelligent Hardware Team, and in November we released a smart bracelet and a smart door lock.The bracelet and headset we designed are integrated. The headset is placed in the bracelet for easy access. Because the broker is most concerned about business opportunity news, we have made a customized process. When the business opportunity news is received, it will strengthen the vibration.Our smart door lock is a sticker lock. It used to take 2-3 hours to change a lock. It only takes 5 minutes to paste the lock. It is good to paste it. It is very suitable for the temporary use of door locks.And it is suitable for 80% of domestic listings.36 氪: Will these intelligent hardware consider opening up to scenarios outside the platform?Yan Mi: I hope to be able to open it, like someone already asks the door lock.But the device itself is not mature yet and will not be considered for the time being.Talk and think: AI in the service industry can’t replace people 36: In the process of exploring the industrial Internet, do you have any thoughts?Yan Mi: Let me say a few points.First, data is more important than algorithms.If the data foundation is good, AI engineers will become assistant engineers in the future-models and algorithms are readily available, and tuning parameters is fine.As said above, we suddenly found that there was a lot of data, and then we had the next step.For example, to make a VR model of a house, we used a large camera and 9 cameras to scan the house.But after making 1 million sets, we found that we can do this with deep learning: as long as you take a normal photo with your phone, you can estimate the depth and other data through deep learning, and the equipment cost is reduced.So after you have data, you can do a lot of things. This is a typical feature of the Industrial Internet, because you only have data in the industry.The second is that SaaS has evolved from 1.0 in the PC era to 2.0 on the mobile side after ten years of development, and the future will be SaaS 3.0 based on AIoT device context awareness.With the development of smart phones, SaaS has been moved to mobile phones, which is considered to be the 2.0 era, and business personnel can operate on mobile phones, such as logistics, express delivery, restaurants, hotels, etc.And we have realized mobile SaaS as early as 2015.However, I think that SaaS in the 2.0 era is still just a recorder and dispatcher. After the business staff has done something, they open the mobile phone and then enter it. But how do you ensure that his entry is timely and authentic?The system distributes tasks to business people, but how to ensure that they are in place?We have designed many mechanisms, processes, cross-validation, and invested a lot of resources in operations to ensure the authenticity and reliability of the data, but the process is actually painful.If you ca n’t guarantee the timeliness and authenticity of the data, and the system is useless, I dare say that the authenticity of the data in most SaaS on the market is not more than 50%.The true rate does not exceed 30%.I hope to enter the 3.0 era as soon as possible. SaaS will rely on IoT and AI when collecting data, and rely on the device’s own perception to make data acquisition more real and natural.Third, many people are saying that AI will replace people in the future, such as industry and manufacturing, but I think that the service industry is different. AI cannot replace people. The core is to solve the problem of variance between practitioners.The service level of the brokerage industry is uneven, some are small and others have rich experience.If you set excellent people as a benchmark, dig out how they do it, and abstract some rules and models, they can be used to guide people who perform poorly and raise them to an average level.The machine cannot be better than the good people, but it can be higher than the average level. The AI lecture room we made last year has actually exceeded the average level of people. Its average listening time and listening completion rate are much higher than the average of the broker.value.But this year, we will spend more energy to try to help ordinary brokers improve the level of lectures through machines, instead of directly replacing the agents to lecture.For the service industry, including sales, there will be great opportunities for AI assistants in the future.A few years ago, a bunch of entrepreneurs with NLP backgrounds were thinking about the opportunities of various AI assistants and voice assistants. These are toC scenarios, which obviously is not satisfactory.But toB’s AI assistant scene will come faster and more violently.toB has a knowledge base, training, performance evaluation, strong elimination, and mysterious customers and NPS. In short, there is work pressure, and toC has nothing. What does AI do?We will launch a series of “Beckham Assistant” products in 2019, which are typical toB AI assistants, which can help brokers chat, intelligently dispatch brokers to reach customers, etc., and hope that they will be carried forward in the future.Fourth, hardware devices will become more versatile in the future. Just like smart phones, industry applications can write APPs and software. In the future, IoT platforms for more industries will appear, making the combination of software and hardware easier.Combining software and hardware is a difficult task. We communicate with many hardware manufacturers. I put forward requirements. They do n’t know how to do it, or they have difficulty in R & D and long R & D cycles.In the past, many industries wanted to do bracelet projects, but the combination of software and hardware was really difficult. In the end, 95% of the projects were dead, and hardware manufacturers were reluctant to do it.And I made a lot of hardware pits from scratch, and it is difficult to produce good products after a few years of polishing.However, I believe that hardware devices will become more and more versatile in the future, just like smartphones, and only need to develop software, such as bracelets, watches, headphones, and so on.In the past, we said that IoT platforms are in the fields of smart home, agriculture, and industry. I think there will be more IoT platforms in the toB field in the future.As a middle layer, this platform connects devices and industry SaaS at the same time. It abstracts SaaS functions and hardware capabilities, which makes it easier to combine software and hardware.This is a typical PaaS. In the future, there will be more and more general PaaS platforms for certain industries.In June 2019, the Shell CTO line identified four important digital construction directions in the future. IoT business is one of them. Talking about the industry: technology-assisted establishment of industry professional attributesHow digital is the industry?Yan Mi: Much higher than the United States.We have studied the United States for a long time. It can be said that the United States has a very prosperous ecology. In contrast, it is probably the only company in the country that has enough resources and money to do this.For example, the real estate dictionary has been made from chain homes to shells. Now the number of real listings has exceeded 206 million, covering 500,000 communities in 326 cities. It is now the most extensive and finest house in ChinaThe source database.There is also data such as VR, which now has 3.3 million sets of VR housing data, which is already the world’s largest VR database.36 氪: But there is a complete public housing database in foreign countries.Yan Mi: We hope to learn from the US MLS model and require platform merchants to share properties and sell together, but we can only look at this from the perspective of property cooperation.The penetration rate depends on how many houses are sold in shells, which vary from city to city. The lowest is only 20-30%, and the most can reach 60% or even 80%.36 氪: If you want to achieve a leapfrog development in the field of residential services in China, what do you think are the driving forces or potential points?Yan Mi: This matter can be seen from two levels.The first is the level of intelligence-space intelligence and service intelligence.In addition to the three-dimensional data of the listing itself, the intelligence of the room is also reflected in the decoration and other aspects of the space; what can be done in the space of the store?Chain households need tens of millions of electricity charges each year, and intelligent management of energy is also an aspect; intelligent service, the core is technology to reduce the variance of service providers.There is also the talent level. To judge whether an industry is mature, you need to see whether it has professional attributes and whether it has a professional training and growth system.Many employees in the service industry are just for a living and are unwilling to develop. This cannot be called a profession.The role of technology is to see if it can assist in establishing such a system.Through the efforts of Shell, many city brokers have been employed from half a year to one and a half years and two years.However, the most fundamental thing is to use technology to make brokers more efficient and make money.(I am the village chief of 36 Gang Xiaogang Village, WeChat: chenshuya66, please note the company, position and purpose when adding friends.).
36 氪 Interview | Shell Finding Room CTO Yan Mi: Intelligence is a natural thing after having data
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