It is AI innovation: DMALL AIoT Intelligent Clearance, solving the problem of fresh produce loss. 

The clearance of goods, especially the rapid handling of perishable goods such as fresh fruits and vegetables, is a high-frequency scenario in the retail industry that occurs almost every day, but it has always been hindered by issues of accuracy and efficiency.

On one hand, retail enterprises often rely on manual judgment and sales experience to formulate clearance plans, including the selection of goods, the timing and extent of price reductions. This "human governance" approach is highly subjective and prone to causing deviations, lags in clearance decisions, and losses in gross profit. On the other hand, traditional clearance also has limitations in information dissemination. Promotion information is often spread through small price tags or even verbal calls, making it difficult to cover a wide range of consumer groups and limiting the promotional effect.

Taking the loss of fruits and vegetables as an example, the freshness of fruits and vegetables is the key for consumers to make a purchase. However, factors such as transportation losses and inaccurate demand forecasts have led to a decline in the quality of a large number of fruits and vegetables in many supermarkets at different degrees during the initial listing and selling process, and eventually they can only be cleared at low prices; meanwhile, many daily fresh fruits and vegetables cannot be sold on the shelves the next day and can only be directly eliminated. This results in some supermarkets' monthly inventory check showing that the daily purchase of fresh fruits and vegetables in the store is 9 tons, but only 7 tons are sold in terms of turnover, further exacerbating the already meager profits.

The loss of fruits and vegetables is inevitable. But is there any method to reduce the loss rate of fruits and vegetables and optimize and improve profits within the possible range? DMALL's AI intelligent clearance solution is providing an answer. This solution utilizes advanced AI large model technology to achieve a comprehensive intelligent upgrade from sales trend prediction to the formulation of personalized promotion strategies.

Thanks to this solution, every store of the supermarket can flexibly formulate a clearance strategy according to the actual situation. The AI algorithm analyzes inventory and sales data in real time to provide accurate and reasonable promotion suggestions for the stores. Whether it is the need for early promotion due to excessive inventory or the need for precise pricing due to tight inventory, this solution can ensure that each store completes the clearance task with the preferred strategy at the right time, truly achieving the refined management of "thousand stores with thousand faces".

With the continuous maturity of AI technology and the in-depth application, it is expected that DMALL's AI intelligent clearance solution will bring a revolutionary change to more retail enterprises.