Retail Maths for Career Growth in Retail Industry

所在平台: Udemy

课程主页: https://www.udemy.com/course/retail-maths-program-for-retail-professionals/

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课程简介

* **课程名称:** 零售业职业发展中的数学知识 * **课程概览:** 本课程旨在帮助学员深入理解零售行业的核心数学概念,掌握数据分析能力,从而促进职业发展。课程内容涵盖: * **销售基础:** 毛销售额、毛利率(Gross Margin %)、平均交易价值(ATV)。 * **效率指标:** 转化率(Customer Conversion %)、商品销售率(Sell Through %)、销售与库存比率(Sales to Stock ratio)。 * **成本与利润:** 销货成本(COGS)、采购成本(Markup and Markdown Understanding)、商品组合(Merchandise mix)、供应商利润谈判(Vendor Margin Negotiations)。 * **关键绩效指标 (KPIs):** 零售店关键KPIs回顾、SKU排名(Ranking of SKUS)、每张账单的件数(Qty's per bill)。 * **投资回报:** GMROI(Gross Margin Return on Investment)、劳动生产率下的毛利回报(Gross Margin return on labor)。 * **经营管理:** 敞开购买(Open to Buy/OTP Understanding)、扣除增值税、息税折旧摊销前利润(EBIDTA in Retail)、损益表(P & L)。 * **损失控制:** 盘亏(Shrinkage)、损坏控制(How to Control Damages)。 * **理论模型:** 帕累托法则(Pareto rule 80:20)、五边形概念(Pentagon Concept)。 * **实践应用:** 通过真实数据进行数据分析视频演示。 * **课程强调:** 课程强调零售是一个数据驱动的科学,掌握数据分析能力对于在快速变化的就业市场中保持竞争力至关重要。提升数据解读能力是实现职业生涯更高增长的关键。 * **教学方式:** 课程包含理论知识讲解和实际数据分析演示。 * **目标学员:** 希望在零售行业职业生涯中取得成长,并希望提升数据分析和解读能力的专业人士。

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课程详情

Course Details are as follows •Understanding of Gross Sales•What is Gross Margin %•What is Average Transaction Value•What is Conversion % in Retail•Whats is COGS•What is pareto rule 80:20•Understanding of Damages•Review of Store Key KPI's•What is Ranking of SKUS•Understanding of Qty's per bill•What is GMROI•What is Gross Margin return on labor•What is Sell through %•What is Sales to Stock ratio•What is Open to Buy Meaning•What is OTP Understanding•What is EBIDTA in Retail•What is P & L•How to Control Damages•What is Shrinkage•What is Markup and Markdown Understanding•Understanding of Merchandise mix•What is Pentagon Concept•Vendor Margin Negotiations processData analysis video with real dataRetail is a science and important decisions are always taken basis the data. The period is of data analysis. The way forward in order to be relevant in a job or business, data analysis is must to have. Jobs are changing very rapidly, new jobs are being created. Their is juge demand of professional with data fundemental understanding and ability to interpret it in a seamless manner. Time to check the learning curve and improve the learning basis for higher growth in the career. All the best!

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