智能化便利店提升盈利能力研究  

Research on improving profitability of intelligent convenience store

作　　者：唐臣[1] 侯丽 贺金玲 梁嵩 TANG Chen;HOU Li;HE Jinling;LIANG Song(Storage,Transportation&Sales Branch of Daqing oilfield Co.,Ltd.,Daqing,Heilongjiang 163000,China;PetroChina Heilongjiang Daqing Marketing Company,Daqing,Heilongjiang 163000,China)

机构地区：[1]大庆油田有限责任公司储运销售分公司,黑龙江大庆163000 [2]中国石油天然气股份有限公司黑龙江大庆销售分公司,黑龙江大庆163000

出　　处：《车用能源储运销技术》2024年第6期20-24,共5页

摘　　要：随着中国石油“油气氢电光非”战略的推进,加油站对外部市场开设便利店已经成为一种常见的商业模式。本文讨论了便利店智能化管理的现状及在实践中的盈利效果。系统地阐述了便利店智能化管理的主要技术手段,包括库存管理系统、顾客消费习惯分析、自助收银技术以及利用大数据制定营销策略等。研究表明,智能化管理不仅提升了便利店的运营效率、提高了顾客参与度,还提升了顾客购物体验感与满意度,通过精准营销策略促进了销售额的增长,增加了便利店的经济效益。With the implementation of China National Petroleum Corporation's“oil,gas,hydrogen,electricity,light,and non-fuel”strategy,integrating convenience stores into gas stations has emerged as a prevalent business model.This paper examines the current state of intelligent management in these convenience stores and its practical impact on profitability.It systematically outlines key technical approaches to intelligent management,including inventory management systems,analysis of customer purchasing behavior,self-checkout technology,and the development of marketing strategies leveraging big data.Research findings indicate that intelligent management not only enhances operational efficiency and customer engagement but also significantly improves the shopping experience and customer satisfaction.By employing precise marketing strategies,it drives sales growth and boosts the economic performance of convenience stores.

关 键 词：加油站 便利店 智能化 大数据 营收能力 

分 类 号：F426[经济管理—产业经济]