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    Jinli Technology

    Committed to becoming a core switch service provider

    Smart Retail Solutions


    With the rapid development of e-commerce, consumer shopping habits have undergone tremendous changes – online shopping is gradually becoming mainstream, and the market share of offline retail is shrinking. Due to the narrowing price gap between online and offline products, and the high costs of offline store rent, labor, and logistics, offline stores are under tremendous pressure. Optimizing costs, improving sales efficiency, and enhancing user experience have become essential steps for traditional retailers to increase profits.

    Scenario Analysis

    With the rapid development of e-commerce, consumer shopping habits have undergone tremendous changes—online shopping is gradually becoming mainstream, and the market share of offline retail is shrinking. Due to the narrowing price gap between online and offline products, and the high costs of offline store rent, labor, and logistics, offline stores are under tremendous pressure. Optimizing costs, improving sales efficiency, and enhancing user experience have become essential steps for traditional retailers to increase profits.

    Lack of precise marketing, low sales conversion rate

    Decreased customer traffic, poor customer experience

    Lack of precise marketing, low sales conversion rate

    Traditional offline retail formats often lack digital operation awareness and tools. The conversion data of customers entering the store is usually unknown. Without customer behavior data as a basis, and insufficient follow-up marketing, this leads to low sales conversion rates.

    The impact of online shopping on the reduction of physical store traffic cannot be ignored. Traditional retail stores have long lacked analysis and optimization of customer consumption experience, further exacerbating customer loss. Traditional offline retail formats often lack digital operation awareness and tools. The conversion data of customers entering the store is usually unknown. Without customer behavior data as a basis, and insufficient follow-up marketing, this leads to low sales conversion rates.

    Solution

    Smart retail solutions utilize advanced technologies such as edge computing and the Internet of Things. Through in-store cameras and other devices, they generate customer consumption heat maps, perceive product sales, analyze and predict sales trends, and provide decision support for retail store marketing, sales, and product planning, thereby improving store service levels and profitability. The implementation steps of this plan are:

    Through video sensing devices, capture and record the distribution of customer consumption trajectories and traffic flow within the store, and conduct data structural analysis and comparison to generate data on consumption trajectories, purchase distribution, inventory, and population consumption habits, providing decision support for store item updates and shelf placement.

    Utilize the acquired data to present it multi-dimensionally in report form.

    Conduct product management and optimize product displays based on customer purchase intentions.

    Application Scenarios

    This solution is widely used in chain convenience stores, gas station stores, discount stores, standard supermarkets, hypermarkets, and non-chain operations, helping operators optimize product planning, improve marketing methods, and increase sales performance.

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