Cross-border e-commerce SKU management and sales case analysis

1. The concept and importance of SKU

In e-commerce operations and warehousing management, SKU (Stock Keeping Unit) refers to the basic unit for inventory incoming and outgoing measurement, which can be units such as pieces, boxes, pallets, etc. SKU is not only a necessary concept in logistics management of large supermarket chain distribution centers, but also widely used in unified numbering of goods. Each product has a unique SKU number. When any of the attributes of a product such as brand, model, configuration, grade, color, packaging capacity, unit, production date, shelf life, usage, price, origin, etc. are different from other products, it can be called a single product. .

SKU contains three aspects of information: product perspective, business perspective, and information system and goods coding perspective. From a product perspective, SKU refers to a single product whose product attributes have been determined. From a business management perspective, SKU also contains information about the packaging unit of the goods. From the perspective of information systems and goods coding, SKU is just a code, but this code is associated with the defined product in a one-to-one correspondence.

2. SKU management in cross-border e-commerce

For cross-border e-commerce, SKU management is crucial. SKU runs through a series of operational processes such as product selection, sales, packaging, customs clearance, transportation, and inventory. SKU is directly related to the complexity of warehouse management, especially in a multi-shipper environment in overseas warehouses, which increases the diversity of SKUs. In order to ensure the accuracy of subsequent processes, overseas warehouses usually require complete product definitions and standardization of packaging and labeling.

3. Product selection strategy for cross-border e-commerce

Product selection is one of the key factors for the success of cross-border e-commerce. Choosing the right product involves many aspects such as market analysis, supplier management and procurement planning. Sellers need to measure it from multiple dimensions such as product life cycle, profit margin, cost price, market share, audience, development trends, supplier resources, competition level, platform rules, geographical terms, etc. In addition, considering that the overall characteristics of cross-border e-commerce are non-standard product markets, increasing the coverage of the long tail has become an important consideration when selecting products.

4. Example analysis

(1) Open data source

Open the data source “Project 8 Task 1 Product SKU”, and the data source is displayed.

(2) Data processing

1. Create a pivot table: Select the data, insert the pivot table, and select “New Worksheet” to generate a pivot worksheet.
2. Sort and filter: Drag “Turnover($)” into the “Value” label box, drag “Commodity attributes” into the “Row” label box; select “Sum item: Turnover( $)” column, select “Descending” sorting.
3. Top 10 items filtering: Select the field “Row label” column, right-click and select “Top 10 items” in “Value filtering”.
4. Chart generation: Select the data in the pivot table and insert a column chart as a data visualization display chart.

(3) Chart generation and beautification

1. Cancel unnecessary elements: Click the “Chart Elements” button and uncheck “Gridlines”, “Legend” and “Main Vertical Axis”.
2. Add data label: Add “data label” and select it, right-click and select “Set Data Label Format”, in the dialog box, change the number “Category” to “Accounting Only”, “Decimal” Set “Number of Bits” to “0” and select “None” for “Sign”.
3. Hide field button: Right-click the button on the chart and select “Hide all field buttons on chart”.
4. Chart naming: Change the chart name to “TOP1 Product SKU Sales”.