Large-scale commercial use of unmanned convenience stores is the key to data insight

Author: Wang Donghua, Intel (China) Co., Ltd., of things large retail business group head of China operations Systems Division

In the era of intelligent interconnection of all things, the boundaries between the digital world and the physical world are gradually blurred. As the first new generation of human energy, data is driving the growth and development of the latest artificial intelligence technology to solve the problem of intelligent asymmetry. With the effective combination of Internet of Things technology and artificial intelligence, the retail industry with thousands of years of history is being affected or even subverted by this technology. The unmanned smart convenience store that was created under the cusp of this turmoil is becoming a phenomenal product of the transformation of the retail industry.

In Intel's view, the core competitiveness of retail companies is insight into data. In the future, the core competitiveness of the retail industry will be transformed from commodity price channels to the ability to control and analyze data. Compared to traditional retail, new retail is more focused on consumer-centric services and experiences. Data insights based on data accumulation can help unattended convenience stores make decisions and act quickly to enhance the consumer experience.

The basics of customer trust are data security and privacy. Therefore, in addition to data insight, the construction of unattended convenience stores requires special attention to ensure data security and privacy. With the integration of the Internet and the retail industry, the important role of the retail industry is increasingly prominent, digital crime is increasing, and customers will be more cautious about their information security. The issue of data security will be an important issue for Chinese retailers. If this problem cannot be solved, it will be difficult to collect valid customer data or trust customers.

As a trusted leader in the transformation of retail business, Intel is accelerating the value of data-driven insight and decision making, delivering high-performance computing capabilities, scale effects, and hardware-level built-in security for real-time analytics. Intel offers a total data security solution from hardware to software that helps unmanned retail convenience stores further enhance their data security capabilities.

Although unmanned convenience stores are in full swing in China, unmanned convenience stores are still on the eve of large-scale commercialization, and many problems such as the establishment of standards, cost reduction, and ecosystem construction are urgently needed. In addition, while pursuing intelligence, it is necessary to follow the essence of the retail industry to achieve a balance of costs and benefits. The following concerns need to be noted by the retail industry:

Unmanned convenience stores are still a new thing, like taxi software, shared bicycles, etc., especially involving data privacy and security. The relevant government policies and regulations are still unclear, need to be concerned and guided, and cooperate with the government. Seeking the “systemic importance” of this new format of unmanned convenience stores in government and social systems;

Ensure data security and privacy, and prevent related group or social problems in advance;

Unmanned convenience stores, whether they are really "no one" or "less people", are essentially retail. Therefore, it is necessary to follow the nature of the retail industry, and assess and optimize indicators such as efficiency and turnover rate. And the unmanned convenience store that uses many advanced technologies, how to reduce the personnel cost, effectively control the additional cost brought by the new technology, and improve the overall operation and maintenance cost through advanced technology, need to continue to try;

Try to achieve “wool out of the pig” through the new business model, and conceive the partner ecosystem and data distribution issues after the data is open;

There is a need to promote continuous improvement and optimization of unattended convenience store technology, especially loss prevention issues, automated product identification based on artificial intelligence.

In Intel's view, the unmanned smart convenience store needs a certain amount of time to mature and commercialize, but regardless of its final result, regardless of whether it has finally achieved "no one" or "less people", it has already been China. The information-based intelligent transformation of the retail industry has pointed out the direction and promoted the faster arrival of the retail 3.0 era. In this wave of unmanned convenience stores or smart stores, China will eventually lead the world, because China has the world's most advanced mobile payment system, because China has the largest retail consumer group and the most massive of its creation. Retail data, and ultimately, will use this data to spawn the world's most advanced and mature artificial intelligence retail solutions.

It is estimated that by 2020, the retail IoT market will reach 35.64 billion US dollars. Retailers are increasingly using IoT solutions to increase operational efficiency and create exciting new user experiences online and offline. Intel is actively promoting standards and capabilities across the ecosystem to help today's retailers achieve cost-effective strategic growth and leverage smart technologies to help retailers transform existing sales barriers and meet their digital, consumer, and data-driven Economic needs.

The Intel® Responsive Retail Platform (Intel® RRP) can be used in all types of retail businesses to integrate technology silos in their stores and discover new business insights. By integrating retail hardware, software, APIs and sensors in a standardized way, this horizontal platform helps develop highly flexible, scalable and innovative solutions. The platform will bring the retail industry into a new era of efficient and personalized shopping, and intelligently lead the company to the future.

Through the Internet of Things, Intel is driving the future of real-time, responsive and customer-centric smart connected retail, helping ecosystem partners achieve retailer business goals while deepening consumer shopping services, enhancing consumer experience and accelerating unattended The store's data-driven insights leverage the value of intelligent decision making in the store.

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