上海龙凤419

From 2021 to now, the beauty track has been constantly running with "capital", which has surpassed last year in quantity.

According to public reports, on July 6th, the beauty industry was born with the largest amount of financing this year-KK Group was led by JD.COM with an investment of about 300 million US dollars. The group owns a large beauty collection store brand THE COLORIST and X11 and other new consumer and retail brands.

This is just a microcosm of the beauty industry. This year, there are only about 20 enterprises that have received more than RMB 100 million in financing, including Meishang, Lan, Xuelingfei, WOW COLOUR, USHOPAL and Liran.

With the help of capital, a large number of companies in the beauty field have gone public, covering the A-share, Hong Kong-share and US-share markets. Recently, companies that have been listed or will be listed in the beauty field include Kaichun Industry, Baiyang Medicine, Juju Zhilian, Betaine, Youquhui, and Yijia.

In this fiery market environment, the whole industry chain of beauty industry is welcoming the best times and the most business opportunities, and practitioners in the beauty field will undoubtedly enjoy more dividends. But if you want to capture business opportunities, you need to have a quick insight into the beauty industry.

Then, in the next half year of 2021, what are the trends and phenomena in the field of beauty that deserve special attention?

The heat of new consumption investment and financing has risen.The domestic product leader rises rapidly.

The glory of domestic products may be traced back to the perfect diary that sprang up three years ago. Many people once thought that this was just a gust of wind. However, a large number of brands, such as Huaxi Zi, Ximuyuan and Runbaiyan, which ran out in the following years, made people realize that the spring of domestic brands has really come.

Take this year’s Tmall 618 as an example. In the sub-category of beauty field, the performance of new domestic brands is particularly bright-in the four sub-categories of powder cake, makeup set, honey powder/loose powder, eyebrow pencil/eyebrow powder/eyebrow cream, Hua Xizi is the first; In the categories of makeup remover, pure dew, makeup spray, etc., it is the domestic brands such as one by one, the sky of daisies and Berry Beauty.

A data of Tmall can also prove this point. In 2020, 3,000 beauty merchants opened stores in Tmall, but more than 2,000 of them were new domestic brands. And among them, 30 beauty brands have become "dark horses", achieving sales of over 100 million.

Among them, there are a lot of investment opportunities, but capital is also a double-edged sword. How to treat capital rationally and grasp the investment opportunities is a subject we need to study. It is reported that the founding partner and chairman of Jiayu Fund will present the latest insight "Let capital empower brands instead of killing them" at the upcoming China Cosmetics Conference, and look forward to his opinions.

Cosmetic industry“The first share"Frequent listed companies have strong stock prices.

As of July 9, the closing price of Huaxi Bio (688363.SH), the first share of hyaluronic acid, was 284.30 yuan/share, which was more than five times higher than the listing issue price of 47.79 yuan/share. The P/E ratio has exceeded 200, and the market value once exceeded 150 billion. Huaxi Bio, which has the hard power of biotechnology and the whole industrial chain, has become the core asset sought after by investment institutions.

Since the renewal of management in the second quarter of 2020, shanghai jahwa, under the leadership of Pan Qiusheng, chairman and CEO, has started a century-old national brand revival war, with remarkable reform results, the stock price reached a record high, and the total market value once exceeded 40 billion yuan.

Polaiya, a local cosmetics company, has achieved rapid growth even under the influence of last year’s epidemic. This year, it has made a good start, with revenue of 905 million in the first quarter, up 48.88% year-on-year.

There are also companies such as Liren Lizhuang, Northbell, Yuyuan, Focus Media, etc., which are outstanding in the cosmetics track. It is reported that the chairmen or CEOs of these seven listed companies will gather at the 14th China Cosmetics Conference held at the Shanghai National Convention and Exhibition Center on August 5-6, when the latest strategies and the methodology behind them will be released on the spot.

Efficacy, skin care, high light moment, emerging track is worthy of attention.

This year’s 618, the only domestic brand in the TOP10 category of Tmall beauty is Winona. The data shows that Winona has been ranked as the TOP10 beauty and skin care category of double 11 Tmall for three consecutive years since 2018. Especially last year, Winona sparked a discussion boom with the only domestic brand of TOP10 in Tmall skin care category.

On March 25th this year, Winona’s parent company Betani successfully landed on the Growth Enterprise Market of Shenzhen Stock Exchange, with a total market value of over 110 billion yuan. Since 2017, Winona’s market share has gradually surpassed international brands such as Vichy, la roche-posay and Avene. At present, Winona ranks first in the domestic efficacy skin care market with a market share of 23%.

Winona is not the only one who has grabbed the huge dividend in the efficacy skin care market.

According to public information, in 2020, Tmall’s flagship store sales ranked the top three brands in terms of year-on-year growth rate, including Quadi and Runbaiyan under Huaxi Bio, and Yuze under shanghai jahwa. Among them, Quadi’s growth rate reached 99.94%, Runbaiyan’s growth rate reached 187%, and Yuze’s growth rate reached 265%.

Efficacy skin care market has become the hottest "emerging market".

Opportunity lies in China Cosmetics Conference.

In the field of beauty, if there is a platform that can link the most beauty resources and business opportunities, it is China Cosmetics Conference.

Since its inception in 2008, the China Cosmetics Conference, jointly created by Pinguan APP and Cosmetics Watch, has successfully invited at least 500 first-line coffee makers from the commercial, economic and even cultural fields in China to share their thoughts and opinions, including many bosses of listed companies outside the industry, top investors and opinion leaders, such as Zhong Shanshan, Shen Nanpeng, Jiang Nanchun, Wei Zhe, Luo Zhenyu and Fang Yuyou.

More than 200 investors from all over the country attend the meeting every year, which is an important platform for investment institutions and financial media to study the frontier ideas of market development and expand industry resources.

With the rapid recovery and prosperity of China’s beauty market ahead of the world, the 14th China Cosmetics Conference with the theme of "China Time" will be held at the Shanghai National Convention and Exhibition Center on August 5 -6, 2021.

In addition to the main forum, there are six sub-forums on new marketing, new channels, new domestic products, new product development, efficacy skin care and design innovation. The first theme exhibition of "Beauty New Domestic Products" will also be launched, and 100+ emerging domestic brands will be exhibited at the same time.

If you are interested in listed companies, cutting-edge domestic products and new beauty tracks, the 2021 China Cosmetics Conference is the most information-intensive and must not be missed event in the whole year. Scan the QR code below to view the full agenda.

"Big data" is a data set with a particularly large volume and data categories, and such data sets cannot be captured, managed and processed by traditional database tools. "Big data" first refers to data volumes? Large refers to a large data set, usually in 10TB? However, in practical application, many enterprise users put multiple data sets together, which has formed PB-level data volume; Secondly, it refers to the large variety of data, which comes from a variety of data sources, and the types and formats of data are increasingly rich. It has broken through the previously defined structured data category, including semi-structured and unstructured data. Secondly, the speed of data processing is fast, and the real-time processing of data can be achieved even when the amount of data is huge. The last feature is the high authenticity of data. With the interest of new data sources such as social data, enterprise content, transaction and application data, the limitations of traditional data sources have been broken, and enterprises increasingly need effective information power to ensure their authenticity and security.

Data collection: ETL tools are responsible for extracting data from distributed and heterogeneous data sources, such as relational data and flat data files, into the temporary middle layer, cleaning, converting and integrating them, and finally loading them into data warehouses or data marts, which become the basis of online analysis and data mining.

Access to data: relational database, NOSQL, SQL, etc.

Infrastructure: Cloud storage, distributed file storage, etc.

Data processing: NLP (NaturalLanguageProcessing) is a subject that studies the language problems of human-computer interaction. The key to natural language processing is to make computers "understand" natural language, so natural language processing is also called NLU (NaturalLanguage Understanding), also known as Computational Linguistics. On the one hand, it is a branch of language information processing; on the other hand, it is one of the core topics of artificial intelligence.

Statistics: hypothesis test, significance test, variance analysis, correlation analysis, t-test, variance analysis, chi-square analysis, partial correlation analysis, distance analysis, regression analysis, simple regression analysis, multiple regression analysis, stepwise regression, regression prediction and residual analysis, ridge regression, logistic regression analysis, curve estimation, factor analysis, cluster analysis, principal component analysis, factor analysis, fast clustering method and clustering method

Data mining: Classification, Estimation, Prediction, affinity grouping or association rules, Clustering, Description and Visualization, complex data type mining (Text, Web, graphics, video, audio, etc.)

Prediction: prediction model, machine learning, modeling and simulation.

Results: Cloud computing, tag cloud, diagram, etc.

To understand the concept of big data, we should first start with "big", which refers to the data scale. Big data generally refers to the amount of data above 10TB(1TB=1024GB). Big data is different from massive data in the past, and its basic characteristics can be summarized by four V’s (Vol-ume, Variety, Value and Veloc-ity), namely, large volume, diversity, low value density and high speed.

First, the data volume is huge. From TB level to PB level.

Secondly, there are many types of data, such as weblogs, videos, pictures, geographical location information, and so on.

Third, the value density is low. Take video as an example. During continuous monitoring, the data that may be useful is only one or two seconds.

Fourthly, the processing speed is fast. 1 second law. This last point is also fundamentally different from the traditional data mining technology. Internet of Things, cloud computing, mobile Internet, Internet of Vehicles, mobile phones, tablets, PCs, and various sensors all over the globe are all data sources or ways of carrying them.

AIoT intelligent internet of things is artificial intelligence internet of things. AIoT is the abbreviation of AI Artificial Intelligence and IoT Internet of Things. It is an artificial intelligence Internet of Things that collects a large amount of data from different dimensions through the Internet of Things and stores it in the cloud. Based on big data analysis and AI and other technologies, it realizes the digitalization and intelligence of everything. Artificial intelligence is a subject that studies how computers can simulate people’s thinking processes and intelligent behaviors. It is based on bionics, the improvement of algorithm model and calculation speed, and the commonality between human neurons and computer doors (doors are the basic unit of computers). Its strength lies in its learning, reasoning, thinking, planning and other abilities, which ordinary intelligent machines can’t do.

The embedded Internet of Things needs to learn a lot, so don’t learn the wrong route and content, which will lead to a salary failure!

Share a data package for free, almost over 150g. The learning content, face classics and projects are relatively new and complete! It is estimated that it will cost at least dozens to buy some fish.

The Internet of Things refers to the real-time collection of any object or process that needs to be monitored, connected and interacted through various devices and technologies such as information sensors, radio frequency identification technology, global positioning system, infrared sensors, laser scanners, etc., and the collection of all kinds of required information such as sound, light, heat, electricity, mechanics, chemistry, biology, location, etc., and the realization of ubiquitous connection, identification and management between things and people through various types of network access. Through this definition, we can feel that this will be a huge database, and the learning process of artificial intelligence also needs a lot of data information. Obviously, this is a link between artificial intelligence and the Internet of Things, which can link them together and play a greater role.

In short, the Internet of Things (IoT) uses terminals with different protocols to carry out information interaction and intelligent processing through a certain agreed protocol, while artificial intelligence can keep learning and become more and more intelligent with data. If artificial intelligence is software, it needs the Internet of Things as a carrier, and if it is hardware, it needs artificial intelligence to drive it. Therefore, we can also regard the Internet of Things as a carrier of artificial intelligence.

The Internet of Things is an important part of the new generation of information technology. The English name is "The Internet of things". Therefore, as the name implies, "the Internet of Things is the Internet of Things". This has two meanings. First, the core and foundation of the Internet of Things is still the Internet, which is the expansion and expansion network based on the Internet. Secondly, its clients expand and expand between any goods, and exchange and communicate information.

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Editing the Initiator: Most of the modules contained in your resume, but you have to write a good resume, but it is not so easy. So as the B-terminal product manager, how to write a highlight, and practical, can fully display your ability? In this article, the author sumizes a resume writing guide for the use of the B-terminating B-terminal product manager, and let’s take a look.

I. Introduction

The resume this thing sounds very simple, but it is difficult to write. Because thousands of people, everyone has their own preferences and understanding of resumes. This article is a summary of my individual’s resume on the B-terminal product manager, and many of whom have compared personal emotional color, so if you have different opinions, you can adjust it.

This article is mainly suitable for product manager reading, learning from B-terminal agency, learning from learning, not suitable for new people in the school, because I am not very familiar with the school, there is no saying, so new people Pay attention to reading when reading …

Second, the resume structure

I use the same structure in the three versions, but also similar to the commercial system of product managers on the market, a total of 5 large modules, as shown below:

Many people will entangle whether to write self-evaluation, my suggestion is to write, self-evaluation is a key module in your resume, you should reflect your highlight in this place, concentrate the essence, not to let the interviewer work and work and Exploition in the project experience.

Some people will put this module in the end, my suggestion is in front, this is the same as "the words" in the "Pyramid Principle", first out of the show, it is right.

Basic information This piece is basically less than going to turn, but some details need to be noted that I have marked, such as gender, age, working years, job hunting, these needs to be carefully checked.

Next, let’s take a look at the basic information I wrote in the virtual resume I wrote. This resume is written in MarkDown, so I use a table mode to renderate the layout of this fragmentation.

The resume owner is "Mai Feifei" and "Mai Xiaofei", which refers to the product manager for more than 5 years, respectively, and the overall structure of the resume. It is only some experience and personal highlights. It will be different.

Basic information of Mai Feifei

Basic information of Mai Xiaofei

Self-evaluation is a wave of king bombings, don’t write some "lively, optimism, hard work, high conscious, strong implementation ability, and brave enough to accept new challenges", you have to pinch this piece, The words are said to pick out the contents.

For B-terminal product managers, I suggested to write from big to small structures. That is to write from the industry / company, then the project / department, and finally go to the individual’s hierarchy, so that the HR or interviewer is more inseparable, it also meets the MECE principle, more structural.

Mai Fei’s self-evaluation

Mai Xiaofei’s self-evaluation

Some of the self-evaluation in the picture may be very long because I deliberately wrote some introductors to do some inspiration. Everyone pays attention to the reduction, control space and text density when writing. If you have other bright spots or additional to add, you can also put it here, such as some excellent works, awards or very matched jobs.

Work experience is my longest module because simple write work experience is very simple, but it is necessary to put out the things and grades made in a company, but also the content of virtual creation, it is too difficult to me.

Work experience is highlighted,What is the main thing to do, then make any achievements?. If some content is not very easy to write, then refine some keywords, used to match the job description in the recruitment information, try to let HR see you have done this piece.

There is dry goods to write dry goods, there is no dry goods, you can write keywords, or you can bold keywords and increase visual implies.

Mai Fei’s work experience

Whether this module is to add "Company introduction" and "work performance", I asked some friends, everyone is not the same, so I have two versions, everyone compares to see if I want to choose one Content. I can’t write two versions, write multiple resumes, cross-type delivery, see which effect is good.

Mai boats work experience personal recommendations work experience and project experience can write separately, more work is to look at your past experience to be what the company until how long, what about outstanding contributions; and whether the project experience is emphasized and job requirements match the value which items you have done in the past, experience and current job whether these projects need is match fit, and have not done any items from 0-1, if there is enough experience and richness so on.

Project experience resume is the second most important content, I think it is the first "self-evaluation."

To experience it is difficult to write the project, because the project is too eat this stuff up vertical experience, and many people experience in the project will increase the realism write some data, but this can easily be caught little mistake during the interview, if the data not familiar with the blind or made, impact on the interview is still getting bigger.

STAR project experience are generally used to write the law, the truth is easier said than done, I sometimes not very good grasp. Because some projects may not have the results, or achievements expressed some projects are fundamentally bad.

Mai Feifei project experience 1

Mai Feifei project experience 2

About STAR project experience is the law of writing, there are many variants, so I wrote two templates, we can compare and see in the end what is more appropriate.

Mai boats of project experience 1

Mai boats of project experience 2

About project experience this piece, I wrote a long time to find a lot of resumes learn from this content piece, and found that in fact a lot of people are content to write the contents of specialized jargon or words of surgery. Read up on the feeling I did not say to what point, but the actual viewing resume when it seems not affect my subjective feelings on this resume.

A small amount of jargon explained resume appears, in fact, does not affect how I feel about the whole resume, as long as you can pass in place some key words, other innocuous content will not look at your resume when a closer look.

End of the article I will put some jargon and terminology of my collection, there are times when nothing resume writing, or what there is no inspiration, they can learn from it.

In view of space reasons, I suggest that educational experience and credentials can be combined together to write, if you experience a lot of education, there are many certificate, and then it split into two modules is also possible.

This piece of content will basically not overturned, a point to note is that the issue of education. Sometimes the company will first pay greater attention to education, so it is best marked on the resume that he is full-time or part-time. Frank, it could reduce HR and the interviewer resume screening of trouble, but also disguised himself saves time.

Third, the supplemental content

Cliches is good, but still have to pay attention to control the tempo and length, do not write too many false big empty of content. The following excerpts from the network, part of my own finishing.

1. Responsible for requirements gathering and analysis, functional design and optimization iterations and outputs corresponding documentation, to promote the development team on the test line.
2. 0-1 responsible for product research, Competitive Analysis, product architecture and functional design.
3. Integrated front and back office business processes and product functional design, make products according to business restructuring plan.
4. 0-1 responsible for the demand for research, process, functional design, coordination of resources, promote the development of the product line, get the demand side feedback, follow up subsequent optimization products.
5. Closed-loop project management, combing the project needs, coordinate business resources to promote the project on time and on line, and track user feedback, combined with custom business scene and have optimized product strategy, to ensure product quality and effectiveness.
6. Xx responsible for the design of new features, functionality has been updated iteration. Familiar with Axure, Xmind output tools such as product design project prototypes, PRD, organizational needs assessment.
7. Cross-sectoral coordination and communication, and promote close cooperation UI, developers, operators and other personnel, time and shelf life to reach the needs of landing on the line and follow the subsequent iterative optimization work.
8. Xx user is responsible for product research, butt-related business, combing scenarios, business process and user needs and build demand pool, and outputs a flowchart brain map, the demand loop, constantly optimize the product user experience.
9. Summary analysis of competing products, development of competing products daily attention and industry trends, product planning and product positioning.
10. Continue to focus on the new line of functional data and analysis, continuous construction and optimized according to business needs and performance data to improve product strategy.
11. Tracking on-line data, with some data analysis capabilities to understand the AB test design process, and summarize results.
12. Brainstorming and evaluation, AB output test design, track, analyze, summarize new and old versions of data on-line, data mining features behind user behavior, merit-based on-line.
13. Responsible for the overall business platform product planning, functional design and development team collaboration, to promote the realization of the project landing.
14. Responsible for the core business (xxx module, xxx modules, etc.) carding business processes, product finishing logical rules, develop and implement programs and other projects iteration.
15. Responsible for product requirements analysis and management, combing business processes, the design and planning of the corresponding product features, write documentation requirements, coordination within the organization and external resources to achieve product goals and project management.
16. Responsible for collecting user feedback, monitoring service module (xxx module, xxx module), analyzes user data, tracking product performance and progress feedback, timely adjustment of product strategy.
17. Xxx is mainly responsible for the overall planning and supply chain planning iterative versions of related products, including: Market Analysis, Competitive Analysis, prototype and PRD organize, and collaborate and R & D team, complete version of the product line development.
18. Responsible for product lifecycle management, including internal publicity, promotion and training on the product line to protect business people familiar with product features and functionality to help solve business problems.
19. Orders operational data analysis, improved scheme is proposed to improve the ease of use of the system, improve the user experience ordering system.
20. Determine the development plan, coordinate project resources, track project progress, to successfully complete the project and achieve goals.
21. Mainly responsible for the company’s order OMS system, the product demand analysis and system design work of warehousing WMS system, participating in the integrated plan of upstream related systems and project management work in multi-projects.
22. Responsible for conducting daily demand communication and organizing relevant documents with each business unit, providing product side solutions. Responsible for communication with regional information division and business units, follow-up project plans and progress.

For the things that the data class needs the door to the door, it is not good to be stuck in the interview. For B-terminal products, this piece should be cautious, don’t write data, because B-terminal data is often sensitive or less easily reflected in the achievements.

1. Through the optimization iteration of product / XX functions, the ease of use of products is improved, and the order rate is improved, enabling the company’s unity, and the transformation of orders will increase XX%.
2. After optimizing the XX function / launch XX function, upgrade DAU, upgrade from XX% to XX%
3. With XX initiative, the re-purchase rate is increased from XX% to XX%.
4. With XX initiative, the XX page has increased to XX%.
5. Through the online line of XXX, the demand for XXX is met, and the company’s core customers are introduced to the company.
6. The XXX feature has opened the XXX and XXX two systems, which promotes the increase in the increase in the amount of increase and the increase in the volume, and the amount of XXX is increased in half a year.

Detailed project experience Description When you are fit, talk, your resume can’t write so much, your resume picked up the business background of the project. What kind of crowd, what kind of person, what product is to do, what kind of modules, the main functions, what kind of user can contact your product, how to use it. If the product level of the product is very large, you can refer to the product’s user-level and some good-looking data on your resume.

Reference on this piece of resume is as follows, this content is basically my own finishing:

1. From 0 to 1 to the various work of the project, including business research, feasibility analysis, demand analysis, output project research report, forming overall product side programs, warehouse on-site testing, special training, assessment, practical, online Quality tracking, etc.
2. Optimize the process of warehouse operations, including procurement, supplier returns, guests retreat, bunk room transfer, library, inventory adjustment, inventory payment and other processes.
3. From 0 to 1 to the project, including the project pre-service business demand research, business process carding, system plan sorting, demand document finishing, system prototype design.
4. Follow the progress of system development, coordinate resources, and ensure that the product project is completed on time and delivered high quality. Product function test, business person training, internal product preaching, etc. before the system is online.
5. From 0 to 1 to the work of the project, responsible for procurement business research, output project research report, forming overall solutions, online function testing, business person training, online function optimization iteration, etc.
6. Optimize the procurement process, including procurement applications, purchase orders, procurement returns, procurement source management, procurement depals and other processes.
7. Optimize the financial management part of the process, including the procedure, payment, payment, inventory accounting, multi-service data payment, etc.
8. Responsible for the product planning and design of the special line small package business, including: supplier docking, trajectory platform docking, ERP docking and other upstream links.
9. In combination with business unit requirements, introduce more international logistics, docking logistics providers interface, acquisition, tracking number, and trajectory information.
10. Improve the circulation relationship between logistics orders and logistics states, and make visual reports present logistics trajectory and their proper effect.
11. Connect the online base information and status mapping of the mainstream cross-border e-commerce platform.
12. Improve the order-margin, the optimal logistics method match, the intelligent trial rule configuration, improve the order performance efficiency, save the operating costs.
13. Optimize order performance traffic and state flow, improve the functional operation of order profit accounting rules and dismantling orders.
14. Optimize the order refund process, open the order after-sales and customer service, warehouse, and financial roles complete business interaction chain.
15. Responsible for the demand analysis of OMS, WMS, Operation Platform, system product program planning, functional design, demand, iterative management, external customers, internal teams and system docking organization coordination.
16. Responsible for platforms from 0 to 1 demand analysis, program planning, function design, iterative management. Complete the platform-based XXXX docking item, XXX docking items. 17. Responsible for WMS and APP system plan planning, demand research analysis, system design, demand management.

Fourth, summary

There are many articles on the resumes on the market, and the content is more information, which is a difficult thing to find a good information.

So in order to avoid the next time you look for a similar tutorial, I will still have to write a tutorial. On the one hand, I will meet the needs of my future, and I can communicate with you in advance, open my own Idea.

By writing this slow thinking process, you will make a summary of this piece of knowledge. It is very big for my personal help, and it is also hope that my contribution can bring some help to friends who need it, because I have a public The positioning is the comparison of vertical and grounding, if you are also a supply chain-related product, then some cases you can take it.

My name is Vitamin ,. Former PHPER, I have done online education products, and I have also done more than 4 years of cross-border warehousing logistics, and is currently a supply chain product manager in foreign trade SAAS. Mainly focused on WMS / OMS / TMS / BMS / ERP and other fields, sharing the supply chain related product knowledge.

This article is published in everyone who is product manager. It is prohibited from reprint without author license

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