As an e-commerce platform for boutique lines, Meikeduo provides sellers with powerful data analysis functions, allowing sellers to clearly understand sales anytime and anywhere, lock in hot-selling products, and compare sales within a time range. This article will deeply interpret these key functions of Meikeduo’s backend to provide sellers with more comprehensive insights into store operations.
1. Check sales data at will: gain insight into the real-time situation of the store.
Meikeduo’s backend provides sellers with a convenient sales data query function, allowing sellers to check the sales of the store anytime and anywhere. By selecting a recent time range, sellers can flexibly customize the comparison time period, and can select a range of up to one year for data analysis. This allows sellers to clearly understand key indicators such as the number of orders, the number of goods sold, and the average customer unit price, providing real-time support for store operations.
2. Lock in hot-selling products: provide a scientific basis for store traffic.
The backend specifically lists products with higher total sales and various variables that affect total sales to ensure that at least one hot-selling product is generated in the store. Hot-selling products are crucial to store traffic and sales. In this module, sellers can clearly understand which products are outstanding in sales, understand the current sales volume, the proportion of the product in total sales, and inventory status. This not only helps sellers avoid out-of-stock of hot products, but also provides a scientific basis for store traffic.
3. Time range sales comparison: understand the store operation from multiple angles.
This function meets the seller’s needs for a deeper analysis of sales data. By selecting dates and filtering conditions, sellers can have a more intuitive understanding of store operations:
Product category filtering: Sellers can filter sales under different categories, gain an in-depth understanding of the performance of each category, and provide guidance for subsequent product selection and inventory management.
Logistics selection comparison: Logistics selection is related to the seller’s cost and consumer purchase decisions. By comparing the sales of different sites, sellers can easily understand the sales performance of overseas warehouses and self-delivery, which helps optimize logistics strategies.
Meikeduo’s data analysis function not only provides basic sales data, but also goes deeper into the product level, helping sellers gain insight into sales trends, optimize inventory management, and scientifically guide traffic, which helps stores operate successfully.
Conclusion: Data is the golden key to operation
With the increasingly fierce competition in e-commerce, data analysis has become an indispensable part of improving the competitiveness of stores. Meikeduo provides sellers with powerful tools to understand sales trends and optimize operations through its powerful backend data analysis function. Sellers should make full use of these functions to understand the store situation at any time, lock in hot products, and scientifically guide traffic to ensure that the store achieves greater success in the fierce market competition. Data is the golden key to operation, and Meikeduo provides sellers with this key tool to open the door to success.