Lazada, the South-East Asia lead electrician platform, launched an artificial intelligence-based personal shopping assistant, AI Lazzie Seller, which aims to enhance the consumer ‘ s shopping experience through virtual trials and smart discount referral. This initiative reflects the continuing investment of Lazara in AI technology to meet the growing demand for digital shopping in the region.
According to a joint study by Lazada and the market research institute Kantar, 96 per cent of South-East Asian net buyers rely on AI-screening for more personalized goods, highlighting the importance of AI in individualized purchases. The study also revealed consumer preferences: 54 per cent focused on product quality, 51 per cent on price, and 36 per cent tended to compete actively and wait for discounts.
The above data suggest that AI Lazzie ‘ s virtual trial-dressing function (which allows consumers to try clothes and recommend sizes through virtual models) and smart discount recommendations may directly match market demand and help consumers make more informed purchasing decisions. AI Lazzie not only provides 24/7 individualized support to consumers, but also further optimizes the shopping process by providing customized referral and hidden benefits through the Message+ function.
Lazada aims to increase user adhesion, especially in the highly competitive South-East Asian electricity market. However, the study also noted that, despite the high level of consumer confidence in AI (92 per cent relying on individualized recommendations), there was room for improvement in the actual usage rate, suggesting that the platform needed to continuously optimize the visuality and usefulness of AI tools.
Lazzie Seller, through the introduction of AI technology, is committed to helping businesses to improve their operational efficiency and reduce their operating costs, thus taking advantage of intense market competition. Lazzie Seller, based on Lazada ‘ s deep accumulation in the field of electric power, and using natural language processing techniques, is able to respond quickly to the problems faced by the business in its operation, including functional navigation, shop risk assessment and the provision of professional advice.
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