The biggest risk is building a system optimized for a fictional, efficient world rather than real-world operations. For example, an AI trained on synthetic data might schedule appointments perfectly back-to-back without realizing that stylists need consultation time with new clients, or it might not account for the chaos of no-shows and last-minute swaps that define actual salon workflows.
The biggest risk is building a system optimized for a fictional, efficient world rather than real-world operations. For example, an AI trained on synthetic data might schedule appointments perfectly back-to-back without realizing that stylists need consultation time with new clients, or it might not account for the chaos of no-shows and last-minute swaps that define actual salon workflows.
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The biggest risk is building a system optimized for a fictional, efficient world rather than real-world operations. For example, an AI trained on synthetic data might schedule appointments perfectly back-to-back without realizing that stylists need consultation time with new clients, or it might not account for the chaos of no-shows and last-minute swaps that define actual salon workflows.
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