Comprehensive AI solutions that help with demand forecasting!
In the retail industry, accurate demand forecasting is essential for optimizing inventory management and reducing lost opportunities. Particularly, predicting the demand for products that are susceptible to seasonal fluctuations, promotions, and external factors is crucial for maximizing profits. Inaccurate demand forecasts can lead to lost sales opportunities due to excess inventory or stockouts. This document introduces AI solutions that can assist with demand forecasting in the retail industry. 【Use Cases】 * Demand forecasting by product in stores * Demand forecasting for online stores * Demand forecasting for seasonal products 【Benefits of Implementation】 * Cost reduction through inventory optimization * Increased sales through maximization of sales opportunities * Improved customer satisfaction
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**Features** * Comprehensive AI solutions for the retail, service, and e-commerce industries * Introduction of 95 cutting-edge AI solutions that innovate operational efficiency and customer experience * A wide range of AI technologies, including generative AI and AI agents * Presentation of AI implementation and utilization case studies * Request for materials available **Our Strengths** Aismiley Inc. operates one of the largest AI portal media in Japan that supports corporate digital transformation (DX). We offer a wide range of services including support for the introduction of AI products, promotional support, and consultations regarding AI implementation and DX promotion.
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IceMiley Inc. is a company that proposes appropriate solutions to solve various challenges faced by businesses through AI. Our job is to connect companies that want to develop and sell AI products with those that want to implement AI and achieve digital transformation, bringing smiles to both sides. Additionally, we operate one of the largest portal media in the country that introduces suitable AI products for companies, referencing numerous implementation and utilization case studies.
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