What data comparison, analysis, and planning summaries do clothing store mana...

1. Data Comparison and Analysis

Data Comparison and Analysis

This case study simulates an ordinary women's retail clothing store and compares it with the same period in previous years. The data is purely fictitious! This is just an example! Data reports from previous years can be compared and analyzed for deficiencies.

This may involve off-season and peak season, the highest and lowest costs, and an in-depth analysis of the promotion effects in the off-season and the promotion effects and cost data in the peak season. 2. Summary and Planning The summary can also be divided into two parts: one is a summary of the data analysis and the other is the store's future plans. Quarterly or annual data summary: 1. Sales and average order value are generally on the rise. 2. May Day, June 18th, Singles' Day, and Double 12th are peak revenue periods, and we plan to increase promotional efforts next year. 3. Promotional effectiveness during the off-season was poor, so we plan to reduce promotional expenses or change promotional channels next year.

In addition to the data summary, the store manager can also summarize the work situation in the first quarter of this year and report both the good and bad things to the boss. The boss will definitely look at you with admiration!

The little secret to a work summary is to highlight your own performance results! It's these essential store statistics that determine your store's fate. When business is slow, many small shops often blame the weather, customer traffic, or inattentive employees. While there will always be a sunny day, the biggest reason for declining performance is actually the store manager's lack of understanding of data analysis. Only by learning to understand the underlying issues in the data can you find solutions, continuously accumulate experience, and increase your store's sales.