The development lasted only a few months and failed to meet performance expectations based on testing results, the company said.
Robotization proved to be more difficult than expected
The Blue Jay system was initially positioned as a next-generation intelligent robot capable of autonomously moving cargo and adapting to the dynamic warehouse environment.
However, in real-world conditions, the system has shown insufficient stability and poor performance compared to existing solutions, notes investing.com.
According to industry sources, the project was tested in a limited number of warehouses in the US. Despite significant investments in automation – Amazon allocates billions of dollars annually to robotization of logistics – Blue Jay has not passed the scaling stage.
A company spokesperson noted that “innovation requires experimentation, and not every project goes to commercialization.”
Experts believe that the project’s closure reflects a common problem in the industry: the integration of AI robots into the physical environment remains significantly more difficult than the development of software models.
This is an important signal for the market: even technology leaders are forced to adjust strategies and cut projects if economic efficiency is not confirmed by figures. At the same time, Amazon will continue to invest in automation, relying on proven solutions.
