Mutual B Round Financing, More Than Ten Million Deep Tillage, Smart Retail Shoes And Clothing And Fast Food Industry Innovation

Recently, B, a data application service provider focusing on retailing, announced the successful completion of the B round of financing. Mutual business mode and data application service capabilities have been recognized by the capital and the industry.

It is understood that the mutual round of B financing is led by Tencent, and China's investment in light speed is up to tens of millions of dollars.

Mutual established in 2014, it is a new generation of enterprise data service provider born in the Internet and data era. It is committed to using cutting-edge technology to build an intelligent data system for enterprises to build cross business systems, and build data application ecosystem.

In 2017, it became a Tencent intelligent retail partner and Apple's first retailer solution provider in China. This year, it won the "best wisdom retail data solution Award".

The success of mutual B financing has not only won room for development for itself, but also will have a profound impact on the field of smart retailing, especially footwear and fast drying industry.

Shoes and fast wear industry pain point to be solved

As we all know, smart retailer has the advantage of reconstructing the "human yard" based on big data, and is currently on the investment climate of the industry.

At the policy level, in November 2016, the State Council issued the "promotion entity".

In the opinion of pformation, 5 specific categories and 16 specific measures were put forward to promote the pformation and upgrading of entity retailers.

In this year's report on the work of the two sessions, the policy once again focuses on developing new formats and new modes of consumption, and new retail will undoubtedly benefit first.

At the industry level, all kinds of capital and industry giants are involved in smart retailing, and Internet companies are accelerating the layout of the line. Traditional enterprises are also actively seeking business innovation and business pformation.

But for footwear and fast food industry, there are many pain problems to be solved in the process of embracing the smart retailing.

For example, most of the shoe and clothing industries are still using the heavy traditional PC POS devices and systems, up to dozens of retail systems. To achieve a smart retail scenario, many systems have to interact with each other, the efficiency is very low, the store's digital operation lacks support, and can no longer meet the needs of smart retailing.

Take a multi brand fashion clothing company as example, the company has nearly 10000 chain stores in the whole country. There are many problems in management. There are many problems in management. The original part of the product system is developed independently, the code reuse rate is low, the system calls each other, the coupling is serious, the system decoupling is difficult to deploy independently, the data islands exist between the applications, the data are not unified, and the reliability service can not be provided under the large capacity access, which is quite representative in the industry.

Through mutual channel DataForce intelligent intermedia, mutual road has established a large data system architecture supporting high concurrent and linear extensibility for the company, a set of interface specifications and data standards, a data center that integrates first party, second party and third party data, and a platform that can quickly support all kinds of online and offline NEW applications.

Finally, mutual help helps the company build its own intelligent data bank, establish a more effective data governance structure, reconstruct the mature "human freight yard" model, greatly enhance the efficiency of the company's operation and management, and make the company perfectly embrace the smart zero sale.

It is learnt that DataForce, a smart retailer with smart retailing, is one of the core products of mutual channel.

In the course of 4 years of mutual development, there are five major product matrixes, namely, DataForce, ShopForce, StockForce, FansForce and JoyForce.

Data show that mutual DataForce is an enterprise intelligent big data business engine beyond BI: Connect - Transform - Refine - Empower.

It can help enterprises to open up and process data of various business systems, and combine business logic to provide data intelligence through open API interface to original business systems and emerging SaaS applications. Eventually, through a complete data management system, enterprises can quickly apply to various kinds of business decisions and execution, and make circulation data become assets of enterprises, truly reflecting the value of data.

Yingli ShopForce is a store intelligent mobile POS terminal. It can easily handle store business such as daily cash register, shopping guide, member and commodity management, and is also the entrance to data collection.

It not only has the capability of real-time data analysis of mobile terminals, but also a set of store level mobile BI, which helps managers to manage and manage stores easily, and at the same time meet the needs of large-scale replicating in brand stores, rapidly covering chain retail networks, and building massive data contacts (buried points).

Product strength

It can intelligently solve the problem of storehouse explosion and shortage, and can accurately calculate the amount of goods per store per SKU per day, so as to increase the sales volume and reduce the wrong stock.

Effectively solve the problem of slow inventory turnover, so that enterprises with the least funds to achieve the fastest inventory turnover rate.

Zhongli FansForce mainly solves the problems of enterprise members' data sheet channels and ineffective use, helps enterprises establish their own full channel member data centers, and combines third party data to get more accurate members' portrait information. Based on the data, it implements intelligent, personalized and precise marketing strategies, and brings tourists to stores to enhance brand stickiness and membership repeat purchase rate.

Yueh Li JoyForce has brought a brand new shopping experience to the brand store. Just scanning the commodity tag code can quickly check the best match of this dress.

Customers use small programs to see that merchants use APP to match, the background is pushed by intelligent algorithm, and the seamless link is increased.

The five product matrices are integrated to solve the problem of "retail management system discretization, low membership data dimension, difficult authenticity verification, less marketing contact points, difficult assessment, single store management function, poor customer experience, low commodity circulation efficiency, and no timely meeting of terminal demand" in the process of embracing the smart retailing.

As a focus

The data application service providers are committed to helping enterprises open their links to existing business systems and external big data. This greatly improves the efficiency of the "human yard" in the retail industry, and is widely recognized by the group of footwear, clothing and other clothing industries such as the beauty group, the Taiping bird clothing, the Yalu and Feida dairy industry.