Oalur is a data analysis tool launched by the original technical team of Paishi on June 18th to improve operational efficiency and provide refined operational insights.
What are the features of Oalur?
1. Product selection function
1. The top 100,000 BSR products in the first-level category are updated daily. This is real big data product selection, which is large and timely.
2. Support all categories available for sale by third-party sellers on Amazon, up to 8 levels deep, with 17,000+ bottom-level categories for users to choose from.
3. Provide 30+ screening conditions from 5 product selection angles: category, keyword, brand, store, and functional features.
4. Select commonly used product selection modes, which can be used even if you don’t know how to select products.
5. Oalur provides BSR rankings and trends of commodities in different industries to help reasonably allocate industry nodes.
6. Simple and fast real-time comprehensive analysis helps users quickly understand the rules of the selected product set.
7. Oalur provides store/brand competitiveness analysis to improve product selection efficiency for users.
2. Operational Functions
1. Oalur has a full-process visualization solution to meet the needs of different scenarios.
· Quickly identify the real reason for abnormal sales volume/BSR;
· Learn the operating methods of industry stars that sell well;
Compare the results of different operations with competitors.
2. Oalur is the world's first all-in-one model, with deep integration of multiple monitoring tools, eliminating the need to frequently switch between different tools/functions.
This is the end of the introduction to Oalur in this issue. If you want to get more information about Oalur, please continue to pay attention~
