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How do real-time inventory analytics help brands reduce waste and become more sustainable?


The atma.io Real-time Waste Elimination Tool uses artificial intelligence and machine learning to analyze and alert on anomalies and inefficiencies across the supply chain. This includes information about the overdue movement of products at a pallet level or even isolated individual items within a warehouse that are close to perishing or otherwise ‘lost’.


These features help ensure action can be taken quickly and proactively in order to improve the efficiency of brands’ supply chains, minimize product loss and provide adequate stock to meet customer demands.


The precise item-level data provides brands with valuable new insights which are vital to the environmental, social, and governance (ESG) commitments. For example, by identifying items such as food or pharmaceutical products that have been held longer in a distribution center, are nearing expiry, or have a temperature variance, alerts can be made by the platform to help mitigate those risks, including minimizing spoilage, reducing loss, waste and greenhouse gas emissions, and in turn maximize sales.






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