LG AI 센스 클린 식기세척기

Existing dishwashers require users to set the cycle, which can lead to insufficient cleaning performance or excessive water and electricity waste due to inappropriate cycle selection. Furthermore, existing products do not adequately address small-load washing or single-person households, resulting in unnecessary resource consumption.

The AI Sense Clean Dishwasher uses an internal camera/sensor to determine the amount and degree of soiling of the dishes. Therefore, even if the user does not select a separate cycle, the washing method is automatically optimized, such as using a powerful mode for greasy pots or a quick cycle for light teacups.

This minimizes water and energy consumption while ensuring clean washing results. In addition, AI learns washing patterns and performs increasingly personalized washing tailored to the user's eating habits. Fine-tuning is also possible, such as using only half the water for small loads like in single-person household mode. In other words, the differentiation lies in the fact that optimal washing and savings are always realized without user intervention.

Most are kitchen appliance consumers (B2C), especially single- or two-person households or consumers interested in eco-friendliness. Small restaurants and other small food service businesses (B2B) can also adopt it to reduce labor.

With the smart home boom, these AI convenience features are expected to expand to mid-range lines. Although LG has not had a large share of the dishwasher market in the global market, it can increase its presence through this product.

Synergy with other LG appliances is possible through ThinQ app integration, and it is good for marketing by emphasizing water and electricity savings in line with the trend of strengthening environmental regulations.

It was evaluated as a life-integrated innovation. At the CES review, it was praised as "killing two birds with one stone by reducing hassle and saving resources," and it was seen as in line with the trend of increasing single-person households.

Technically, it is not a particularly difficult new technology, but it is mostly well-received in terms of highly complete UX improvement. However, since there is already market competition (e.g., Bosch, etc.), continuous differentiation is pointed out as a challenge.