In response to the on-site inspection needs of Kenyan customers, we have created a service scenario featuring "immersive driving experience + scenario-based professional explanation" to make the value of agricultural machinery intuitively perceptible:

In the scene, Kenyan customers sit in the agricultural machinery's cab in person — they grip the steering wheel to test the control force, step on the pedals to feel the response speed, and even start the equipment on-site to personally perceive the smoothness of power output and the effectiveness of suppressing body vibration (corresponding to the core action of "customers taking seats in the driver's position" in the picture); when they glance at the instrument panel, they can also intuitively judge the user-friendliness of the human-machine interaction.

Meanwhile, the on-site service staff closely focus on the pain points of Kenyan agriculture (such as the need for grip on sandy soil, stability during slope operation, and heat dissipation design for high temperatures in the dry season). They conduct professional explanations while demonstrating operations, centering on key modules including the off-road adaptability of tire patterns, the precise control logic of hydraulic systems, and the localized functions of intelligent modules. For questions raised by customers during the test drive, such as "Can the machinery get out of trouble in muddy fields during the rainy season?" and "How to maintain it during long-term operation", the staff immediately provide answers by combining the machinery's design principles with the actual working conditions in Kenya, ensuring that "explanation" is always deeply integrated with "experience".

This model of "discovering needs through personal driving and addressing concerns via professional explanation" not only allows Kenyan customers to fully understand "how the agricultural machinery performs when driven", but also helps them predict "how well it will work after purchase" through the service staff's interpretation of "exclusive adaptability to Kenyan agricultural scenarios", laying a solid experiential foundation for accurate machinery selection.