EC

When it comes to meeting consumer needs, Amazon has been trying its best to explore a variety of ways, including some whimsical ideas, such as using drones to deliver deliveries and robots to manage to the warehouse. According to the Wall Street Journal report, last year Amazon obtained a patent called "pre-determined shipping". In the future, Amazon may analyze user behavior data to predict customer buying behavior and send out packages in advance before customers place an order. So as to minimize the logistics time. Amazon said that the data they use to determine whether to "predict shipment" includes: customers' previous orders, customers' product search records, wish lists, shopping carts, and even the time the user's mouse stays on a product page. According to the patent, "pre-judged delivery" also includes some techniques. Amazon may fill in the user's delivery address in a vague manner to facilitate the delivery of the product to the area near the potential customer. Once the customer's order is received during the delivery process, Amazon The address information is complete. At the same time, Amazon will also recommend the product to potential customers during delivery to improve the accuracy of judgment. Amazon believes that predictive shipments are more suitable for bestsellers and products that are likely to attract a large number of buyers at the beginning of the listing. As a customer, the survey and statistics of big data infringe on the customer's personal privacy to a certain extent. However, for merchants to conduct marketing, big data is more important to the value created after the processing, integration, and analysis of massive information data. In IDC and McKinsey’s research on big data, it is pointed out that big data can create huge commercial value in at least four aspects: First, the segmentation of customers and users can achieve different actions for each group. ; Second, use big data to simulate the reality to achieve new demand acquisition and increase the rate of return; third, increase the degree of sharing of big data in various departments, which can increase the return on investment of the management chain and the industrial chain; fourth, Realize the innovation of business models and products and services.