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Here is our demo (English):
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AI Shift is a web app that automates and optimizes shift scheduling. Simply input your complex workplace rules, and it will generate shifts that meet both employee preferences and operational needs, considering factors like interpersonal relationships and individual circumstances that traditional methods often struggle to handle.
Shift creation has long been a complex challenge in workforce management. Traditional mathematical optimization methods simply allocate staff numbers to meet basic requirements. However, they cannot handle complex workplace constraints like interpersonal factors, individual preferences, or nuanced company policies.
Moreover, relying solely on generative AI for shift creation also presents challenges. While AI excels at understanding shift rules, it struggles with aggregating data and performing the type of mathematical optimizations that traditional methods handle well.
To address these limitations, we’ve implemented a hybrid Chain-of-Thought method, where non-AI code performs the statistical analysis that AI typically struggles with, and feeds this aggregated data back to the AI. AI Shift overcomes these limitations through this hybrid approach that combines the power of large language models (LLMs) with specialized non-AI algorithms.