Commodity Business Data Analysis Is Crucial.

1, a summary analysis of the implementation of the catalogue of store business: mainly the implementation of the catalogue and the main commodity and the introduction of new products.

The operation and management sub center will send the latest catalogue main commodity number, catalogue newly imported commodity number and catalogue catalogue number to the mailboxes every month on the 1 day of the day, and the stores will find out the business situation according to the relevant cargo numbers, especially the main commodities, the new imported commodities, and the timely elimination of the commodity stores.

Through the analysis of this set of data, we can know whether the store has adjusted the commodity structure of the store according to the adjustment of the catalogue.

2, commodity dynamic sales rate analysis: mainly this month commodity dynamic marketing statistics, dynamic sales rate analysis, compared with last month.

Inquiring method of total breed number of menstrual battalion: enter the system "purchase and sale inventory analysis" to inquire about the sales and inventory data of this month. After inquiring about the total number of varieties run by the shop, it can also filter out the number of movable sales in this module, and the formula for calculating the dynamic selling rate of the goods is: the number of dynamic selling varieties, the total number of stores running *100.

The number of slow-moving varieties: the total number of stores and the number of movable sales varieties can be drawn.

Through this group of data and analysis of specific products, we can see the problems and potential of stores in commodity management.

3.

(3 level) analysis: mainly: the proportion of sales of all kinds of stores in the month and the comparison with the same period last year, the gross profit of each category and the comparison with the same period last year.

Stores need to conduct a comprehensive analysis of the sales and gross margin of all (3 level) categories, especially all sales decline and gross profit decrease, and identify gaps through analysis, and propose improvements.

4. Analysis of commodity imports this month: mainly the introduction of commodities.

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Analysis.

The imported commodities require stores to set up files for new imported commodities daily, and track and analyze the dynamic sales rate, marketable rate, sales volume and gross profit of imported commodities. At the same time, it analyzes whether these imported commodities contribute to the improvement of store sales performance, whether there are goods that are not suitable for the introduction, and constantly optimize and adjust in the future work.

5, the performance evaluation of special commodities: mainly the implementation of the number of special commodity varieties, the sales situation of special commodities, the proportion of sales and the comparison with the previous sales.

A comparative analysis of the sale of special items and pre sales is conducted to compare the sales of the special sale items with the same days before the implementation of the special price (the execution time of the special period is 14 days or 21 days).

Through the analysis of the above data, we can see the effect of store specials and the problems existing in the operation of special stores.

6, passenger flow and customer unit price analysis: mainly refers to the average daily flow rate per person and passenger price per month, compared with the same period last year.

This group of data should pay special attention to the comparative analysis of stores' promotions and promotions before analyzing passenger flow and customer unit price. Whether the promotion activities have played a certain role in improving store traffic and customer unit price.

Related links:

1, sales index analysis: the main analysis of the sales situation this month, sales indicators completed this month, compared with the same period last year.

Through the analysis of this set of data, we can know the difference between year-on-year sales trend and actual sales and plan.

2, gross margin analysis: the gross margin and gross margin of the month are analyzed, compared with the same period last year.

Through the analysis of this set of data, we can know the situation of gross profit and the shortage of gross profit.

3, operational cost control analysis: mainly the detailed analysis of the cost of the month, compared with the same period last year, whether there is no cost savings control costs.

The costs are: staff costs, energy consumption, materials and office supplies, maintenance costs, inventory losses, daily operating expenses (including telephone charges, pportation costs, garbage fees, etc.). Through this set of data analysis, we can clearly know whether the expenses of the store operation can be controlled, whether there is an abnormal cost and whether there is room for saving.

4, Ping efficiency: mainly in the month, compared with the same period last year.

"Average daily efficiency" refers to the "daily average unit area sales", that is, the average daily sales volume and the business area of the stores.

5, per capita labor efficiency: mainly the per capita labor effect this month, compared with the same period last year.

"Monthly per capita labor efficiency" calculation method: sales amount this month / monthly salary.

6, inventory loss rate analysis: the main result is the brief analysis of store inventory results. Through analysis, we can find out the problems existing in the various aspects of commodity entry, sale and storage.

7, store merchandise inventory analysis: mainly the average commodity inventory and turnover days this month, compared with the same period last year.

Through the analysis of this group of data, we can see whether there is an anomaly in store inventory, especially whether there is a backlog of stock.