Grocers that integrate Planalytics’ predictive demand analytics are generating at least $3 million in EBITDA annually per $1 billion in revenue.

 

Brown grocery bags displaying benefits of predictive demand analytics for grocers: reduce shrink in perishables by 10 to 35%; decrease out-of-stocks by up to 20%; reduce back-stock by 5 to 10%

 

Grocers need to optimize demand forecasts in order to balance inventory costs and perishable waste/shrink* in a way that doesn’t sacrifice service levels. Planalytics’ predictive demand analytics enable companies to adjust inventories based on when, where, and how much the sales of specific products will increase or decrease due to the weather, the most omnipresent external driver of consumer purchasing.

Grocers that integrate Planalytics’ predictive demand analytics are generating at least $3 million in EBITDA annually per $1 billion in revenue primarily by increasing availability and reducing perishable waste/shrink (typically by 10-35%).

For more details, we invite you to request a financial benefit estimate for your business.

*Waste reduction can significantly reduce a company’s carbon footprint and associated tax expense in jurisdictions with carbon taxes.  Request our white paper for more information.  

Contact us to learn how Planalytics’ predictive demand analytics can help your business.  

 

 

Additional Insights


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Asda Improves Availability and Waste Performance by Adjusting Demand Forecasts with Weather Analytics

Rubbish! Who Says Grocers Can’t Pursue Sustainability Objectives Profitably?

Factor the Weather in
Grocery Demand Shifts


Grow Grocery Sales & Reduce Shrink via Daily Weather-Driven Demand Analytics
The Quick Replenishment Fix That
Boosts Sales & Cuts Waste