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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. Layering specific Planalytics’ weather-driven demand analytics onto current forecasting solutions allows companies to balance the need for high on-shelf availability with limiting waste in perishable categories.
- 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.
Layering specific Planalytics’ weather-driven demand analytics onto current forecasting solutions (some of our integration partners are listed highlighted on the right) is helping grocers balance the need for high on-shelf availability with limiting waste in perishable categories. Contact Planalytics to learn more.