Select the most concerned indicators from all store performance data items to display and sort them. You can set an upper/lower threshold for each indicator. If the threshold is lower or higher, an alert will be sent to you via SMS or WeChat. Each indicator provides daily, monthly, and annual change curves, and all change curves support labeling.

Smart Dashboard+ supports the performance of a single listing. You can select the data you care about most and display it in the listing dashboard, such as advertising performance, real-time orders, returns, reviews, etc. Similarly, alarm thresholds can be set for each indicator, and historical curves can also be provided, which can also be marked for further analysis.

Based on the historical data of listing, combined with information such as festivals, current events, weather, and market conditions, neural networks can be used to calculate sales performance for a period of time in the future, and then combined with port cargo volume, international shipping costs, and Amazon warehouse shelf time to plan replenishment for you ,shipping schedule.

Based on the historical data of listing, combined with information such as festivals, current events, weather, market conditions, etc., neural network can be used to intelligently formulate scientific advertising strategies and price strategies to make you one step ahead.

Use neural network learning, combined with listing historical data, market quotations and other information, to propose optimization guidelines for listing pictures, titles, and keywords. It even supports optimized hosting, which can automatically adjust titles and keywords based on current affairs hotspots.

Using powerful data capabilities, combined with neural network learning, you can warn about possible infringements in the listing pictures, titles, keywords, and descriptions, and give legal replacement words.

Using RPA technology (Robotic Process Automation) and neural network learning to produce many automation tools to provide your work efficiency. For example: analyze customer information based on sentiment, intelligently reply or remind manual response; invite customer reviews under Amazon's permission; analyze reviews, extract good and bad reviews based on sentiment analysis, and extract key content from them to optimize products; track FBA /FBM shipments, automatically analyze logistics exceptions and automatically process or remind manual processing.

Through a large amount of data support and neural network learning, combined with product title, picture, description, pricing, advertising strategy and other information to simulate ROI, we can proudly point out that the error between this simulation method and the real result is 20%!

An artificial intelligence-driven secretary, you can interact with her through text and voice on our WeChat platform, she can report your customized data for you every day, such as the number of orders for each product in each country, customer reviews, and shops You can define account status, ACOS, remittance, deduction information, etc. by yourself. You can also execute some simple commands, such as removing a certain product, stopping a certain advertisement, increasing a certain price, and so on.