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Articles by 黄成明
Browse 5 New Distribution articles by 黄成明.
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The Secret to Maximizing Sales: Process-Oriented Metrics and Data-Driven Tracking
A friend in the clothing industry achieved double-digit same-store sales growth by process-orienting sales metrics and tracking KPIs in real time with sales incentive games. This article explains how to break down sales targets into actionable components and establish a systematic tracking system to maximize retail sales.
黄成明90% of Companies Have the Wrong Inventory Management Logic
This article discusses common mistakes in inventory management logic, including focusing only on absolute inventory rather than relative inventory, focusing only on total inventory rather than effective inventory, and focusing only on the present rather than future predictions. The core purpose of inventory management is not to avoid stockouts but to maximize future sales by continuously supporting product availability.
黄成明How to Boost Sales at Year-End?
As the year draws to a close, with only 26 days left in 2015, sales professionals are scrambling to meet their annual targets. Drawing on 15 years of sales experience, this article offers practical strategies for year-end sales pushes, including focusing on key accounts and categories, intensifying follow-ups, leveraging relationships, securing budgets, motivating teams, and negotiating targets.
黄成明Huang Chengming: Recommended Classic Books on Data Analysis I've Read in the Past Two Years
Over the past two years, I've read seventy or eighty books. Here are a few I think are good, briefly introduced; you can search for details online. In no particular order: 1. 'Data-Driven Management: Insights into Retail and E-commerce Operations' – a book I wrote, published last July, with nearly 50,000 copies sold. It tells the story of two young people working in sales, merchandise, e-commerce, and data departments, explaining data awareness and retail thinking through many cases, integrating various data analysis methods into specific business scenarios.
黄成明Run, Hustle. Eight Ways Data Can Fool You
In today's business world, not knowing data analysis is outdated. Many leaders demand data for decisions, making data analysis crucial and data analysts one of the top ten promising careers. However, data can be misleading. For example, during the US-Spain war, the Navy's death rate was 9 per 1,000, while New York City's was 16 per 1,000, but these figures are not comparable due to different demographics. This article outlines eight common ways data is used to mislead, from fabricating data to using charts to distort reality.
黄成明