The Essence of Digital Practice of "Retail E-commerce" at the Intelligent Number Conference: Insights into the digital future and embarking on the journey of e-commerce wisdom

On August 19, the 2023 Fanruan Fifth Intelligent Data Conference "Smart Insight·Digital Evolution" came to a successful conclusion. At the meeting, wise men from all walks of life gathered together.

Mai Haochao, president of Yibang Power Research Institute, Wang Juan, data analysis expert of Bloomage Biotechnology, Huang Jie, head of e-commerce data analysis of Make a Friend Live, Cui Shuo, data manager of Zhumi Technology China, Fanruan E-data communication industry products Director Mu Xi and other big names in the retail e-commerce industry gathered together to share the practical results of data-driven and digital operations with 1,200+ guests, and explore new ideas for digital innovation that can spark growth.

"To make friends":

Digitalization of the entire live broadcast process

In July of this year, Curve was listed on Jiugu friend, which handed over its first "answer sheet." According to the financial report for the first half of 2023, revenue was 433 million yuan, a year-on-year increase of 215.5%, and the total GMV of the entire network exceeded 5 billion yuan. The fact that Make a Friend can achieve such outstanding results reflects to a certain extent that the potential of the live streaming e-commerce industry is still being unleashed. However, it is worth noting that as the domestic live broadcast e-commerce industry completes its penetration, industry players are also facing considerable competitive pressure while gaining scale advantages. How to find greater increments?

Huang Jie, head of data analysis for live broadcast e-commerce at Make a Friend, shared "Decoding and Practice of Live Broadcast E-commerce - Using Data to "Make Money on Demand"". Having been deeply involved in the live streaming e-commerce field for 3 years and with more than 57,000 hours of broadcasting, Make a Friend is China’s leading e-commerce live streaming and new media marketing agency, committed to becoming a star influencer, high-quality brand and consumer on Douyin. As a bridge on new traffic platforms, it has profound insights into the digital construction of live broadcast e-commerce scenarios. In the field of live broadcast e-commerce, digitalization is a powerful tool for pursuing business breakthroughs.
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Huang Jie focuses on his own real data and cases, and tells how making a friend faces the difficulties of improving business efficiency, performance incentives, platform black boxes, and real-time strategies, improving the data infrastructure, and allowing the business to ride the wind and waves.

The entire live broadcast process has been digitized. Now the entire live broadcast business has been digitized. From the recruitment of experts to entry, product submission, hot product recommendations, cold product calculations, mechanism comparisons, product selection and finalization, etc., there is an online platform. Management can now support multiple platforms, multiple users, multiple matrices, and multiple services.
The management of industry, finance and people is integrated, with the live broadcast session as the smallest accounting unit, allowing each anchor operator to see his or her performance in real time. After the end, each individual's salary performance data is presented according to the performance plan of different roles, quickly stimulating value creation.
The data strategy is intelligent, using models and FineBI analysis capabilities to establish an intelligent application system for data before, during and after the live broadcast. In the early stage of the live broadcast, data-assisted decision-making is done through market monitoring, popular product recommendation and other analyses; in the middle of the live broadcast, the efficient management of the live broadcast room is done through signboards such as achievement warnings and 15-minute broadcasts; after the live broadcast, analysis of achievement status, anchor performance, business reviews, etc. Do a smart review.
Huang Jie shared that at present, the data analysis of large modules such as product analysis, business analysis, and system operation and maintenance of Jiaozuoyou are all using BI as a carrier for business output. Jiaoyou is gradually building a data application with BI as the core. Achieve predicting achievement risks, optimizing achievement paths and ensuring achievement results.

"Bloomy Biotechnology":

Let data become the productivity of biotechnology

The discharge of Japanese nuclear wastewater is causing more and more attention and worry, and has also become an important factor affecting the image of many Japanese brands, especially cosmetics and skin care products that require direct contact with the skin. Against this background, domestic cosmetics and skin care brands represented by Bloomage Biotechnology will also usher in a new round of positive expectations in the consumer market.

Bloomage Biotechnology is a world-renowned biotechnology company and biomaterials company. It owns four terminal skin care brands: Quadi, Runbaiyan, Mibeier, and BM Muscle, and has nearly 20 single products with sales exceeding 100 million. Bloomage Biotechnology takes customers and operational efficiency as its core competitiveness, and has achieved business efficiency improvement and business growth with the support of digitalization.

Wang Juan, a data analysis expert at Bloomage Biotech, gave a keynote speech on "Data-driven growth, making data the productivity of biotechnology", revealing Bloomage Biotech's path to efficiency improvement. Wang Juan shared the digital construction process of Bloomage Biotechnology and the actual value brought by the application of digital tools.

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Improve business analysis efficiency, automatically access data through data connectors in the form of API, RPA, etc., standardize data warehouse processing, and update regularly every day, saving 60% of fixed work for the business, and improving overall efficiency by more than 30%.
Real-time monitoring of activities, H+1 updates activity progress, deciphers the number of fuzzy reservations, accurately predicts competitive pre-sale sales data, dynamically monitors the pre-, mid- and post-event activities, and uses FineBI as a carrier to output billboards to the business.
Business self-service BI analysis, the business uses online data sources to conduct self-service analysis, the average time required for data needs is shortened by 1 week, and temporary needs are reduced by 50%.
Wang Juan mentioned that through the middle platform to provide scenario-based templates and a model of rapid business reuse, Bloomage Biotech has achieved low-code business development, thereby improving business development efficiency.

"Chasing Technology":

All in BI’s digital closed-loop strategy

In 2023, the country will usher in an economic recovery and consumption power will gradually recover. The sweeping robot industry has passed the painful period of double decline in volume and volume. In May and June, volume began to "turn to positive" and achieve positive growth. Leading brands such as Zhusun Technology Performance has a positive effect on leading industry trends and accelerating technology iteration.

Cui Shuo, Data Manager of Chumi Technology China, shared "BI Strategy and Execution - Achieving Sustainable Business Value Growth". Chasemi is an innovative technology company with geek genes. In 22 years, Chasemi’s revenue has exceeded 6 billion yuan. As a smart home appliance industry, Chuimi has online and offline channels. The data from these channels are large and complex, and the imperfect mechanisms cannot perfectly digest the data. Various resistances have slowed down the construction of the internal digital system.
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Cui Shuo shared the digital strategy of pursuing All in BI, creating a closed-loop FineBI digitalization of business digitization, data assetization, service businessization, and asset servitization. Facing the resistance of strategy, organization, and data, he gave a perfect answer .

Facing strategic issues without data system planning, we build a data system planning centered on FineBI for data sources, data centers, and data management. At present, Zhuimi has completed the construction of the data center, which can realize the visualization and automation of data analysis.
Faced with the organizational problems of recruitment difficulties and talent degradation, we first select, educate, educate, use, and retain team members to build an agile delivery team and assign work responsibilities to each person.
Faced with data problems such as different calibers and inaccurate verification, change the way data analysts work, master BI, and understand the underlying data; conduct in-depth exploration of needs, establish a data demand development process, and connect the business side and IT side.
Digitalization not only changes technology, but also takes the lead in business. Chuimi will also overcome obstacles and move forward courageously in the wave of digitalization.

"Yibang Power":

Observation and Thoughts on E-commerce Retail

Mai Haochao, president of Yibang Power Research Institute, shared "Observations and Thoughts on E-commerce Retail through the Fog of Stock Competition in 2023". As a professional knowledge service platform for e-commerce and industrial digitalization, Yibang Power has focused on e-commerce research and reporting for 15 years.

As the president of Yibang Power Research Institute, Mai Haochao is well aware of the impact of data on decision-making. Digitalization is our tool for interpreting the market. It allows us to gain insight into the market while also leading market changes. Mai Haochao also brought his own thoughts on the macro trend of e-commerce retail and consumer insights.

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The physical Internet is rising while macro consumption is declining, quantity is increasing but quality is decreasing. The two keys to the recovery of the e-commerce retail industry lie in consumers and the industry.
Brand owners need to pay attention to the changes in e-commerce platforms, pay full attention to and cooperate with interest/scenario e-commerce, seize the dividends, and try to pick up as much as possible for private domains.
The essence of an e-commerce platform is always a combination of "planting field, trading field, and delivery field".
Consumers are currently optimistic but worried about fierce competition. Brands need to develop differentiated strategies based on different consumer psychology.
Post-digital trends: product creation, products + services, redefining and elaborating brands.
Mai Haochao said that this year is not only about overcoming difficulties, but also about getting used to difficulties; no matter how slow and uncertain the environment is, the certainty of digital acceleration is also the highest. Consumption under the internal cycle is still the strongest carriage. He looks forward to e-commerce Ecological reorganization and innovation with digital peers.

"Fanruan E-digital communication":

Data helps companies refine e-commerce operations

With the continuous development and popularization of Internet technology, the e-commerce industry has achieved tremendous development and changes in the past few decades. For e-commerce, numbers are particularly important. The e-commerce industry has more and more data, and more data is needed to guide and support business decisions in order to improve marketing effects, optimize operational efficiency, improve user experience, discover business opportunities and innovation, etc. Target.

However, with the digital development of the e-commerce industry, there are three particularly obvious problems in the data-driven e-commerce industry: difficulty in obtaining e-commerce data, difficulty in data processing and integration, and difficulty in data business analysis.

With a true perception of user needs, Fanruan launched the industry product E-Data. E-Data uses data connectors and BI as its product capabilities to provide customers with one-stop e-commerce self-service data analysis services.

Mu Xi, Product Director of Fanruan E-Data Industry, brought the product to its first official meeting with users. He said that e-commerce retail users can only use “good data” to do “accurate analysis” so that numbers can truly guide their business and promote a more scientific approach. Sound decision-making. E-data communication provides Fanruan customers with digital improvements in the following aspects:

At the bottom of the data, through data connectors, fully automatic data capture is realized, which can cover all-area e-commerce data including e-commerce platforms and business systems, free up a large amount of manpower, and provide high-precision, broad-based analysis for various scenarios. Range and fine-grained data support.
In the middle layer of indicators, the global data obtained from each platform is further cleaned and processed to eliminate indicator differences between different platforms, establish a unified indicator system, and build business data analysis packages for each scenario to ensure that the data accuracy, consistency, and usability.
At the top level of the business, a full scenario package for refined e-commerce operations is provided, and key indicators and performance results are presented to decision makers and relevant teams through standardized reports to support business decision-making and optimization. At the same time, users can create more possibilities through self-service analysis.
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Digitalization is leading the change in the e-commerce industry, and Fanruan’s e-commerce industry products are leading the way in digitization. Only by fully understanding the importance of digitalization to e-commerce and through technological upgrades can e-commerce business be made more intelligent and efficient.

Through this smart number conference, the encounter of 1,200+ guests not only deepened their understanding of the digital transformation of the e-commerce industry, but also gained motivation for moving forward. The wisdom of data has taken deep root in e-commerce, and the future is full of infinite possibilities.
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Origin blog.csdn.net/u014514254/article/details/132712336