LEVERAGE DISPLAY RECOGNITION TO MAXIMIZE POTENTIAL SALES GROWTH

According to the U.S. Census Bureau, brick-and-mortar stores account for 80% of total retail sales, reinforcing the importance of in-store shopper engagement as a core driver of sales growth.

To stay competitive, retailers and manufacturers are adopting new technologies such as AI, sensors, cameras, and robots to enhance the in-store experience and optimize display performance. In-store advertising, digital TV screens, and static product displays are now essential tools for capturing attention and influencing shopper behavior.

Because most product categories benefit from well-placed displays, brands must maximize the value of their existing retail space and infrastructure.

Measuring the Impact of Display Performance

How can brands measure display effectiveness and adjust in-store execution to unlock higher sales growth potential? 

Implementing relevant in-store displays and tracking their performance is a straightforward yet powerful strategy to monitor real-time impact. Using on-device image recognition, such as StayinFront’s On Device Neural Network (ODNN), store representatives can capture and analyze display data instantly, including display type, assortment, quantity, and location. 

Turning Data Into Actionable Insights

By transforming image data into key performance indicators (KPIs) and combining them with other retail metrics, managers gain a precise benchmark of store performance. StayinFront Retail Data Insight (RDI) further enhances this process by delivering AI-driven, actionable insights that guide field reps and sales teams toward data-informed decisions. 

Growing Retail Sales Organically

Optimizing and measuring in-store displays is one of the most effective ways to drive organic retail sales growth. 

Contact a StayinFront representative today to learn how to Know More, Do More, and Sell More, and turn every store visit into a strategic opportunity for measurable retail performance.