Machine learning models trained on your transaction history can predict demand with 91% accuracy — reducing waste, improving margins, and making your operations more sustainable.
Food waste is one of the largest controllable costs in F&B — typically 4-10% of revenue. Most of it comes from poor demand planning: over-prepping based on gut feelings or last week's numbers.
1Pulse's demand forecasting models analyze historical orders, weather patterns, local events, and seasonal trends to predict exactly how much you'll sell — by item, by hour, by location.
Our customers see an average 18% reduction in food waste within the first 90 days. At 200+ locations, that translates to millions in savings — and a meaningful impact on sustainability goals.
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