Predicting Retail Traffic Patterns

retail traffic patterns

Retail traffic patterns are changing. SenSource’s people counting technology will help identify how many customers are shopping in your store, peak and low shopping times, and predicted traffic volume.

Post-Pandemic Retail

The pandemic pushed all retailers to improve their online shopping experiences. Long-awaited projects were kicked into overdrive to make online shopping, next day delivery, in-store pickup and inventory management systems happen overnight as storefronts were forced to temporarily close. According to a recent report by NRF titled Using Retail Tech Innovation to Enhance the Customer Experience, “72% of retail professionals say COVID-19 accelerated their company’s digital transformation by at least a year”.

As we emerge from the pandemic, stores are reopening and customers are once again visiting. But retailers are not retreating to their former ways of business-as-usual. The reinvention and improvements made to adapt during the pandemic also brought about a plethora of knowledge and technology innovations.

Through data collected by online shopping, retailers gained a new or refined understanding of their customer demographics and shopping habits. Jason “Retailgeek” Goldberg explains in the Retail Gets Real podcast, “This is a great opportunity to reset and figure out what the customer does want and get to where she is, instead of trying to change her.”  

While webpage visits, duration on site and items placed in basket are easily collected online, retailers are now looking to collect comparable metrics for their in-store customers such as quantifying store visitors, retail traffic patterns and shopper duration.

Retail Traffic Patterns

One technology utilized to understand retail traffic patterns within physical stores are people counting systems.

Placed at the entrance, sensors accurately detail total traffic, peak and low times of the day and days of the week. Using SenSource’s Vea Analytics Reporting Platform, historical traffic data is calculated to report predicted future traffic volumes. Vea takes into account holidays and shifting calendar events for accurate traffic predictions.

Placed within checkout, sensors can measure and manage queues. This information can be analyzed and alert management when queues exceed acceptable length.

Knowing current and future retail traffic patterns allows for more efficient operational decisions such as staff schedules, promotional dates, and store layout. When accomplished optimality, each of these decisions will have a positive impact on overall customer experience, ensuring potential sales do not become missed opportunities.

Contact SenSource today to see how people counting systems and the Vea analytics reporting platform can help your retail traffic and sales.

For other ways traffic data can help management understand their operations and predict retail traffic patterns read these articles:

Video: Customer Service, More Important Than Ever

Video: A Dynamic Product for Post-COVID Retail

Video: Retail Consumer Behavior

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