Tossing nearly expired food is not only expensive, it’s the third biggest cause of global warming – and it’s wildly unpopular with consumers.
Most supermarkets still make markdown decisions arbitrarily, or at best using guidelines developed in the 1970s. The results are cuts too infrequent, too deep, and too late.
Traditional markdowns almost always miss the mark: too little or too much – and too late or too early. Using thousands of data points from your own store and partner retailers around the globe, Wasteless AI calculates the precise price that will maximize your revenue and minimize your food waste.
Wasteless works with your existing systems and hardware, meaning that you can get started almost instantaneously.
Simply scan, mark down, and get on your way.
Wasteless fits right in with your regular routines.
Wasteless AI continuously analyzes customer sensitivity, sell-out patterns, waste events, and markdown effectiveness to deliver optimized, profit-driven pricing decisions automatically, moving beyond manual guesswork.
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Our intelligent tool streamlines and optimizes section checks across your entire store, dynamically determining ideal check frequencies based on shelf-life and expiration sensitivity.
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Our intuitive in-store tool intelligently flags items nearing expiration, enabling swift, profitable action. Seamlessly discount, divert to alternative channels, donate, or appropriately discard items, transforming costly waste into recovered value.
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Ensure USDA & FSMA compliance and streamline operations with a simple digital solution. Track grinds, shop trims, and essential sanitation activities, providing an audit-ready, error-reducing system that upholds the highest safety standards.
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Integrate your waste tracking tool to feed data into Wasteless learning processes, or use Wasteless' plug-n-play solution that powers easy and fast waste capturing for all your products.
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Our powerful analytics platform consolidates performance data from all Wasteless modules and your integrated systems, providing unparalleled clarity into product performance, markdown effectiveness, operational efficiency, and waste drivers.
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