DMALL AIoT AI Intelligent Shopping Guide truly realizes "Goods find people". 

"At what time does the supermarket close in the evening?"

"Two friends are coming to my house. Are there any new snack recommendations?"

"I'm going to make Kung Pao Chicken."

...

Online shopping was once known for its efficiency and convenience. However, with the explosive growth of product information, consumers are facing increasingly difficult screening problems.

The wide range of products greatly enriches consumers' choice space. But shuttling through various product lists and conducting complicated comparisons and screenings also consume a lot of consumers' time and energy. Therefore, how to efficiently serve consumers well and facilitate transactions in the shopping guide process has become a major issue that the retail industry urgently needs to solve.

The rise of AI intelligent shopping guides has become an opportunity for the transformation of the shopping guide model in the retail industry, and is driving the online shopping experience to a new stage.

The concept of "AI intelligent shopping guide" is not new. In the digital age, many platforms have launched intelligent shopping guide services. However, due to reasons such as a weak content foundation, most intelligent shopping guides are more like a tool attached to the surface of the software, failing to achieve a deep integration with the content ecosystem, resulting in recommendation results that cannot well meet the real needs of users.

The complaint posts that can be easily found are real and funny: When requesting a gift recommendation for a man, you are given a pink preserved flower; When asking for a cost-effective phone, you are mindlessly recommended an outrageously expensive flagship high-end phone...

But when talking to the DMALL AI intelligent shopping guide, such a problem of "I talk about the city gate tower, but the shopping guide talks about the hip joint" will not occur. Through the AI large model, DMALL's AI intelligent shopping guide can deeply understand consumers' needs and provide personalized product recommendations. More importantly, it can also excavate and precisely match for users' ambiguous or situational needs.

For example, when telling the DMALL APP intelligent shopping guide "Xiao Duo": I want to make Braised Pork Spareribs in Brown Sauce. "Xiao Duo" will not only recommend all the related ingredients for Braised Pork Spareribs, allowing you to add them to your cart with one click, but also considerately attach the recipe for Braised Pork Spareribs.

And when the consumer mentions "Two friends are coming to my house. Are there any new snack recommendations?", "Xiao Duo" will quickly analyze the consumer's social situation, taking into account the party atmosphere, seasonal changes, and possible food preferences, and recommend a series of novel and suitable snacks, beverages, and even small home decoration items for the party, making the consumer's party more perfect.

What is more worth mentioning is that "Xiao Duo" can also learn consumers' shopping habits and preferences. Over time, its recommendations will become more and more in line with consumers' personal tastes.

This combination of deep understanding, precise matching, and personalized service makes the DMALL AI intelligent shopping guide not just a shopping assistant, but more like a friend, accompanying consumers in every shopping journey, making the online shopping experience easy and pleasant; at the same time, it objectively helps retail enterprises to improve the导购 efficiency and conversion rate, reduce labor costs, and truly achieve the transformation from "people looking for goods" to "goods looking for people", leading the retail industry into a new era of intelligent shopping guides.