Replenishment With Predictive
Weather-Driven Demand Analytics

Incorporating Planalytics’ predictive Weather-Driven Demand (WDD) metrics into replenishment processes and forecasting solutions helps retailers stay ahead of changing sales patterns, resulting in better availability, increased sales, reduced wastage, lower inventory costs, and enhanced customer satisfaction and loyalty.



Many companies lean heavily on recent sell rates to determine how much to replenish into different regions or individual stores. While the recent sales trend is important, it is distorted by the weather conditions that have occurred and it is not factoring in how upcoming weather conditions are going to change sales volumes. Since the weather and its effects on sales can change significantly from day-to-day and from week-to-week, retailers often end up understocked in some locations and overstocked in others.

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Winning With The Weather

A regional grocer integrated daily WDD adjustments into their demand forecasting solution.

A  mass merchant pushed additional swim toy product into stores ahead of positive WDD.

In-stock improvement of 125 bps Captured weekly comp sales gain of 52% 



What Our Clients Are Saying

We’ve used Planalytics for years to enable our retailers to take care of their neighbors with weather-related demand. Great scalable insights integrated directly into our demand planning application!

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