Overview of purchase, sale and deposit

FMCG Supply Chain

1. Analysis background introduction

This case comes from a fast-moving consumer goods company, which mainly deals in the liquor category. With its in-depth liquor product line and extensive sales network, the company occupies an important position in the domestic market and gradually expands to the international market. The company currently has more than 500 direct stores and covers all parts of the country through the e-commerce platform, with annual sales of more than 10 billion yuan. The company adopts an integrated supply chain operation mode, from raw material procurement, production and manufacturing to national logistics and distribution, to terminal retail and e-commerce sales, forming a closed-loop management. ForTo improve operational efficiency and market response speed, the company has vigorously promoted digital transformation in recent years and established a comprehensive information system covering procurement, inventory, sales and other links, aiming to optimize resource allocation and improve customer satisfaction through data-driven decision-making.

2. Statement of key issues

Inaccurate inventory management,It is difficult for the existing inventory management system to achieve accurate inventory monitoring of various commodities, resulting in frequent shortages of some high-demand products, and long-term backlog of some lagging products. This not only affects customers' shopping experience, but also increases the cost of inventory holding and reduces the efficiency of capital turnover.

The transparency of information is low,All links of the supply chainThe lack of information transparency and the lack of effective information sharing mechanisms between procurement, inventory and sales departments make it difficult for departments to form a unified strategic direction based on different data sources when making decisions, which affects the overall operational efficiency.

In response to the pain points of the appeal, the statistical analysis of purchase, sale and inventory data aims to

Realize the comprehensive integration and unification of data, and improve the real-time and accuracy of data.

Optimize inventory management, reduce shortages and backlogs, and improve the efficiency of capital turnover.

Enhance the transparency of information in all links of the supply chain and promote cooperation between departments.

Establish a real-time monitoring and early warning mechanism to detect and respond to abnormal situations in operation in a timely manner.

3. Analyze the plan

3.1 Select key data indicators.

 

Serial number

Name of the indicator

Paraphrase

Analysis angle

1

Quantity of purchase

The purchase quantity refers to the enterprise in a certain period of timeThe total amount of goods purchased from suppliers

Evaluate whether the purchase quantity is in the same as the sales forecast andMatch market demand to avoid over-purchase or out-of-stock.

2

Shipment quantity

Shipment quantity refers to the total amount of goods sent by the enterprise to customers or distribution channels within a certain period of time.

Combine the shipment quantity and the inventory quantity, calculate the inventory turnover rate, and evaluate the operating efficiency.

3

Inventory quantity

Inventory quantity refers to the total amount of goods held by the enterprise at a certain point in time.

Measure the efficiency of inventory management and find potential inventory backlog problems.

4

Compared to the same period of the previous year

Year-on-year refers to comparing the data of the current period with the data of the same period of the previous year.

Measure the magnitude of annual growth or decline.

5

Link relative ratio

The ring ratio refers to comparing the data of the current period with the data of the previous adjacent period (such as last month and the previous quarter).

It is usually used to measure the trend of short-term changes.

6

SD purchase quantity

The quantity of purchases from the sales department

Evaluate the demand of the sales department for the quantity of purchases to ensure that the procurement plan is consistent with the sales demand.

7

T1 purchase quantity

The purchase quantity of first-level distributors

Evaluate the purchase ratio of major suppliers to reduce supply risks and improve the stability of the supply chain

8

SD shipment quantity

The shipment quantity of the sales department.

Analyze the relationship between the shipment quantity and the inventory level of the sales department, and optimize the inventory allocation.

9

T1 shipment quantity

Shipment quantity of first-class distributors

Analyze the shipment data of first-level channels

Ten

Inventory quantity at the beginning of the period

The inventory at the beginning of the period refers to the total inventory at the beginning of an accounting period.

In combination with the inventory quantity at the beginning and end of the period, analyze the trend of inventory changes and evaluate the effect of inventory management.

11

The inventory quantity of the store

The inventory of stores refers to the current inventory of goods held by each retail store.

Analyze the inventory configuration of each store and optimize the inventory distribution

12

The number of code scans in the store

The number of code scans in the store refers to the number of times consumers scan through bar code or QR code in the store.

It is usually related to product browsing, mobile payment or member interaction.

13

The number of sales in the store

The sales volume of the store refers to the number of goods actually sold out of the warehouse by the store.

Reflect the sales of goods in the store.

Explanation: The indicators selected in this case are common indicators in the analysis. In the analysis work, priority should be given to the indicators that have the greatest impact on the business to ensure that the purpose of the analysis is consistent with the business objectives and key performance.Through the interpretation and analysis of the above-mentioned purchase, sales and inventory indicators, enterprises can comprehensively and deeply understand their own operating conditions, find potential problems and opportunities, optimize supply chain management, and improve the efficiency of inventory control.

3.2 Power BI Visualization Scheme

      图形用户界面, 应用程序

AI 生成的内容可能不正确。  

Note: The DEMO page data is simulated data, which is for reference only to the analysis angle and Power BI function display, and does not involve any actual business data.

4. Analysis and interpretation

The purchase quantity is year-on-year, and the procurement plan is adjusted to ensure that it is in sync with market demand.

日历

AI 生成的内容可能不正确。

The shipment quantity is year-on-year, and the sales and marketing strategy is adjusted according to the shipment trend.

 图形用户界面, 应用程序

AI 生成的内容可能不正确。

Year-on-year sales of stores, analyze the changes in sales of stores in different regions, understand the differences in regional market demand, and optimize the allocation of regional resources.

文本

AI 生成的内容可能不正确。

Inventory at the beginning of the period, store sales, store scanning trend

 图表

AI 生成的内容可能不正确。

Check the purchase, shipment and sales data by province

 地图

AI 生成的内容可能不正确。

Check the inventory data of purchase and shipment by product, increase the purchase and inventory of best-selling products, and ensure sufficient supply. Reduce the purchase volume of delayed products, reduce inventory pressure and capital occupation.

图形用户界面, 图表, 应用程序

AI 生成的内容可能不正确。

5. Application effect

Through systematic data analysis of purchase, sale and inventory, enterprises can achieve comprehensive optimization from strategic planning to daily operation. The specific effects include:

Improve operational efficiency: Reduce resource waste and improve overall operational efficiency by optimizing the management of all links.

Enhance market competitiveness: accurate market and product analysis helps enterprises occupy an advantageous position in the fierce market competition.

Achieve sustainable growth: data-driven decision-making and strategy adjustment to support enterprises to achieve sound and sustainable business growth.

Enterprises should regularly carry out these data analysis of purchase, sales and inventory, and constantly optimize and adjust strategies in combination with actual business needs to ensure competitiveness and flexibility in the dynamic market environment.