AI CROSS Inc. (Minato-ku, Tokyo, CEO Noriko Harada, hereinafter "AI CROSS") announced that the adoption rate of its "Operational Optimization Option" for its AI demand forecasting and operational service "Deep Predictor" has surpassed 90% among companies implementing "Deep Predictor." This option automatically converts forecast results into a format that can be directly utilized in business operations. This option features a function that converts and outputs demand forecast results into formats tailored for various business scenarios such as ordering, shipping plans, and sales plans. Its design, which allows on-site staff to directly use AI demand forecast results for business decisions, has been highly praised. Background A common challenge many companies face when implementing AI demand forecasting for ordering, shipping adjustments, and sales planning is "operational adoption." Even if AI produces highly accurate forecasts, significant effort is required to convert these results into actual business decisions (such as calculating order quantities) by on-site staff, involving the reflection of company-specific logic, rules, and constraints. If this conversion process is not systematized or automated, it leads to operation dependent on individual staff skills and experience, hindering the realization of the operational efficiency that predictive AI should provide. Conversely, attempting to resolve these issues through scratch development (developing uniquely from scratch without using off-the-shelf products) requires substantial cost and time, making it an unrealistic option for many companies. AI CROSS has directly addressed this challenge since the initial development of "Deep Predictor," concretizing it as the "Operational Optimization Option." Overview of the Operational Optimization Option The "Operational Optimization Option" is a function that automatically converts and outputs the AI demand forecast results from "Deep Predictor" into "actionable business o