Demand Analytics for Sustainability

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Enhancing store-level replenishment in produce, dairy, meat, seafood, and other fresh food departments is an opportunity to reduce carbon for retailers. Compared to other sustainability initiatives, improving demand forecasts is an easy way to get results quickly, and as it turns out, profitably.

Nearly 40% of food waste occurs within the retail supply chain. Using Planalytics’ predictive demand analytics to improve replenishment helps grocers to reduce both waste and carbon emissions.
Improved demand forecasting can propel retailers towards sustainability and be a profit enhancer. Reducing fresh food shrink with better analytics produces results immediately.

Planalytics solutions can reduce perishable waste by 12%, which corresponds to an average of over 4% in decreased carbon emissions.

By integrating Planalytics’ predictive demand analytics for sustainability into demand forecasting, grocers can balance the need for high on-shelf availability with limiting waste in perishable categories. Contact Planalytics to learn more.

Additional Insights

Zeroing Out Carbon Emissions by Reducing Perishable Waste