Tiny, efficient AI models are revolutionizing business by enhancing time series forecasting, crucial for predicting sales and demand. These small models, with 1M to 3M parameters, demonstrate significant computational efficiency while achieving state-of-the-art results. They can process complex, multi-variable data and adapt to new datasets, outperforming larger models at a reduced cost. As enterprise data remains largely untapped, these models are expected to drive significant transformation in the business landscape.