Multi-platform cargo management is complicated
Multi-platform stores carry out business, and the data is many and miscellaneous.
The data of the goods on different platforms is disconnected, and it is difficult to manage.
Inventory, in-transit statistics, etc. are not clear, which affects replenishment.
Data aggregation is complex and error-prone
The data dimensions of different platforms are not uniform, and it is difficult to manage.
Manual statistics take a lot of time and lag.
The amount of data is huge and complex, and statistics are prone to errors, which affects decision-making.
The barriers to multi-platform systems are obvious
The existing system is large and multi-functional, redundant, and the learning cost is high.
The data between multiple platforms is completely separated, and the data barriers are large.
The data logic of each module is not in line with the business.