Posted by Daniel Malak

Hurricane Matthew

Weather patterns can be unpredictable at times, but seasonal forecasting for your business doesn’t have to be. Whether it’s snow storms or heat waves, the threat of a natural disaster comes around every year. Hurricane Matthew, which just passed over the southeastern coast of the country last week, prompted citizens to run to their local grocery stores and big box retailers to stock up on essentials in preparation for days spent inside.

This long-lived cyclone formed September 28th and ended October 10th, created 160mph winds and was the first Category 5 Atlantic hurricane since Hurricane Felix in 2007. While many grocery chains typically see an increase in sales during these types of events, other businesses that rely on walk-in traffic, like apparel retailers and restaurants, often times see a drastic decline. Once the climate calms down, how do retailers fully measure if their efforts to bring stability back to their business actually work?

Much of the technology currently available to do so focuses on measuring indoor traffic only. Motionloft goes one step further by taking into account what happens outside a property as well. Fully weatherized sensors installed in seven different locations across the lower eastern seaboard all maintained accurate and constant function throughout the peak times of the storm. Not only did they withstand the brutal weather front, they also reported metrics on businesses traffic counts before, during and after the most inclement times. Take a look at our dashboard comparisons for data captured during that period.


Motionloft Hour Display

Here we see an hour-by-hour comparison of varying traffic times throughout the course of the week when the storm hit Florida. We noticed a considerable traffic shift between October 5th and October 8th.


Motionloft Trend Lines

In this graph, we compared two sensor locations in Florida that were located 350 miles apart. The sensor in Miami (red) and the sensor in Jacksonville (blue) showed a distinct correlation to the pace of the storm as it traveled up the state. Normal volumes for each of the seven sensors were compared, each of which saw about a 90% decrease in traffic during the day on which the storm was strongest.

Motionloft data is presented through informative trend lines that offer quantifiable insights on hourly vehicle and pedestrian traffic, which can help decision makers react or plan accordingly. Business owners can now see month over month and year over year analyses on average traffic patterns and fully prepare before any seasonal shifts affect the bottom line.

If you’re curious about how sensor technology can be applicable to your business, request a traffic study or get in touch with us by clicking here.


Daniel Malak


Daniel Malak works on the Sales and Marketing team at Motionloft. When he’s not busy finding solutions for retail industry leaders or commercial real estate brokers, he can usually be found cooking something fancy or researching the next biggest IoT trends for smart cities.

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