Internet + convenience store, the new era of retail industry

Today, the market environment is becoming increasingly complex, the overall trend of the retail industry is low, and under the influence of big data, there are both opportunities and challenges. This paper explains the current situation of the retail industry and analyzes the existing problems from convenience stores to provide data-level solutions.Internet+” is the new industry of Internet development under Innovation 2.0, the evolution of the Internet form driven by Knowledge Society Innovation 2.0 and the new form of economic and social development it has given rise to. The “Internet+” is a further practical achievement of Internet thinking, which represents an advanced productivity and drives the continuous evolution of economic forms. Thus, it drives the vitality of social and economic entities and provides a broad network platform for reform, innovation and development. In layman’s terms, “Internet+” is “Internet + various traditional industries”, but this is not simply the addition of the two, but the use of information and communication technology and the Internet platform, so that the Internet and traditional industries to deep integration, to create a new development ecology.

In 2017, under the overall downturn of the retail industry, convenience stores, as the branch with the most potential for gold, will have a large influx of capital, however, the entire retail industry is experiencing a tide of closures, and the offline physical retail industry is worryingly affected by online e-commerce; at the same time, external capital is flooding in and the ontology is being impacted: regardless.

In the increasingly competitive market, relying on intuition, experience and fragmented numbers to drive decisions will only increase the cost of trial and error, and the only way out for efficient management is to use the right tools to integrate data across channels, interpret it correctly, drive decisions, and support validation of results. Data-driven decision making has become inevitable.

Problem Analysis.Although the data is complete, it exists in “silos”. In today’s information explosion, the retail industry has embraced the new four – “digital channels, online shopping socialization, personalized behavior, mobile payment” – which directly leads to a variety of enterprise information Scattered all over the place, such as POS, Kingdee, CRM, ERP, supply chain, OA and other systems, independent of each other, integration requires a lot of labor and time costs, managers want to real-time, accurate grasp of the overall situation is very difficult, the existence of data silos has become a manager “to the problem of proactive, rapid response to business opportunities,” the biggest stumbling block. The biggest stumbling block.

The available indicators are thin and insufficient to support decision-making. Unlike department stores, superstores and other retail formats, meeting the immediate needs of the community is the reason for the existence of convenience stores, and the fine management of individual products and accurate customer marketing are the marketing assets of convenience stores, which require a large number of indicators with precise direction to support managers’ operations and decisions. However, although the traditional system applied by convenience stores can provide analysis and statistical charts, there are problems such as single data format and poor interactivity, which are often insufficient to provide support for rapid decision making and advance judgment in today’s rapidly updated and iterated business model.

Information lags behind, so the “freshness” of the decision is greatly reduced. For convenience stores, real-time information sharing is needed between the head office and stores, between stores and suppliers, and between store managers and warehouse managers. However, there is often a delay in the flow of information to all parties, making it difficult to collaborate efficiently and compromising the “freshness” of decisions.

Solutions.To address the current problems in the retail industry, Data View offers the following solutions.Data connectivity. Integrate and correlate data from different systems to achieve a global grasp of data, and on the basis of data integration, achieve the integration and optimization of business management.

Data processing. Solve the problem of many data files, difficult to process and complicated to analyze, centralize data management through Data View, and complete data processing by simply dragging and dropping, and provide automatic real-time update function to replace manual repetitive work, so that business personnel can focus more on business analysis.

Data Visualization. Provide self-service business indicator kanban designer, through the visualization of data, allowing decisions to surface naturally; while allowing data to drill down layer by layer, providing complete data support for decision-making.

Data collaboration. Data and reports can be shared to colleagues and partners, and by setting different levels of permissions, it makes information security and real-time collaboration possible, thoroughly improving work efficiency.Specific templates, set scientific business indicators kanban, help provide complete data support for decision making.

Consumer behavior analysis, “Every time you say ‘no’ to a customer, the customer is disappointed. The number of disappointment does not need to be more than two or three times this customer is lost.

Analysis purpose. Use consumer portraits for accurate marketing, discover the multiple needs of consumers, and provide a variety of products or services to meet their needs and enhance consumer loyalty. Key indicators A. Consumer categories: age, consumption ability, consumption frequency, payment method; consumption behavior: traffic, length of stay, preferred brands, brand relevance

Merchandise management. “The ‘boat is small, good turnaround’ street convenience store, should fully follow the theory of differentiated operation, do not and large supermarkets and large shopping malls spell variety (inventory), spell discount (capital), but should take strict control of inventory, small batch purchase, single product management, 24-hour operation, always think about the customer’s position , develop a business sense of discovering customer needs and other measures, and operate conscientiously.”

Analysis purpose. Reasonable arrangement of commodity structure, attention to commodity inventory, to ensure that the best-selling goods are not in stock, lagging and expired goods in a timely manner to clear, improve the store ping efficiency, release working capital. Key indicators A. Merchandise inventory situation: inventory quantity, inventory days. Merchandise classification: best-selling merchandise, slow-selling merchandise, merchandise category merchandise sales KPIs: continuous rate, sell-out rate, discount rate, loss rate, replenishment rate, moving rate.

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