According to 36Kr Automotive, Ideal Auto is poised to embark on a fresh round of organizational restructuring, with a primary focus on refining the product decision-making process. The company plans to divide certain key functions within the product department and incorporate them into the R&D department.

In detail, the product department, under the leadership of Fan Haoyu, will transfer its electric vehicle definition team to the vehicle R&D department headed by Liu Liguo. Additionally, the autonomous driving terminal product team will be merged into Zhan Kun's base model R&D team. Furthermore, a select group of product personnel specializing in user experience may be reassigned to Liu Jie's product line.

Following these adjustments, the original three-tier decision-making framework of 'product line - platform product definition - R&D' will be streamlined to two tiers. This involves eliminating the intermediate platform product definition layer, thereby shortening the decision-making process and enhancing both efficiency and quality.

Notably, this is not Ideal Auto's first organizational adjustment this year. In January, in response to the escalating AI competition, Ideal restructured its R&D team around base models, software, and hardware. By the end of May, the base model department had expanded to include three new secondary departments: Embodied Engineering, Embodied Interaction, and Embodied Behavior.

These frequent adjustments reflect a company's introspection amidst rapid industry changes. Li Xiang, CEO of Ideal Auto, articulated during last year's third-quarter earnings call that the company aims to 'revert to a startup mindset.' By bypassing the product definition phase, Ideal essentially aims to expedite product decision-making, minimizing layers of approval and meetings to accelerate product rollout.

From this sequence of adjustments, it is evident that Ideal Auto is proactive in tackling existing challenges. However, organizational restructuring is merely a tool; while it may entail short-term growing pains, the ultimate success hinges on whether genuine efficiency improvements can be realized.