What is intelligent transformation?
Building on digitalization by adding AI and data analytics, so systems move from recording business activity to supporting judgment and execution.
In detail
Digitalization addresses “whether the data exists and is accurate”; intelligence addresses “whether the data can help get things done”. For example, the system not only records inventory but can also predict stockouts, suggest replenishment, flag anomalies, and even act automatically within authorized limits.
For example
The system finds that a customer's order volume has fallen 30% for two consecutive months, and automatically alerts the responsible salesperson with the customer's recent orders and communication records attached.
How companies use it
First confirm that the data foundation is reliable, then start with lower-risk scenarios such as alerts, analysis and decision support.
Common misconceptions
Skipping digitalization and going straight to intelligence. If data is incomplete or inaccurate, the recommendations AI gives are unreliable too.
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