Traditional spreadsheet-based inventory planning often causes excessive food waste, stale items, and long customer wait times in fast-paced restaurant operations. To solve this critical challenge, Mac Haik Restaurant Group, a popular Texas-based First Watch franchise, adopted PreciTaste’s AI-powered Prep Assistant solution to accurately predict daily food preparation needs. Intel software and core processors played a pivotal role by empowering developers to build, optimize, and execute intricate machine-learning models seamlessly. Utilizing the Intel OpenVINO toolkit, the system delivers precise, real-time demand forecasting. This technological integration drastically reduces ingredient waste, optimizes labor efficiency, and significantly elevates the overall daily restaurant guest dining

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