A successful strategy is one that has the optimal tools for visual merchandising and intuitive shelf arrangement. The 3D eye-tracking technology not only replaces the old time and cost-consuming trial and error testing methods, but also helps to understand better which, how, and where to position products in a way that can boost sales and appeal to customers

Fremont, CA: Artificial Intelligence and technology have become the norms for innovative and thriving businesses around the world, and they are showing no signs of slowing down. From technology-related fields to customer-centric industries like retail, everyone wants to adopt the latest tech and enhance their business. Standard merchandising practices like premium shelf space, color block merchandising, and avoiding stock-outs are no longer the pinnacle of business techniques. New cutting edge technology like Eye Tracking and Big Data Analytics are helping retailers implement competitive retail strategies that can be backed up by hard numbers. By understanding shoppers' behavior and attention, retailers can get helpful insights into the kind of products and services that attract them.

Eye-tracking has become one of the most significant research studies on visual perception and predictive outcomes today. Earlier, eye tracking required the use of equipment like special glasses, VR headsets, calibration, and shoppers’ direct approach. This gave the technology a minimal and rather intrusive space of the application. Eye-tracking technology has advanced much since those times. It is now available in the form of simple software that can recognize and track multiple people in the same frame, to provide real-time data on all customers’ attention, intention, and interest.

Here are three strategies that can help enhance your shelf and merchandising strategy.

Smart Shop Layout for Customer Flow

Store layout and customer flow in merchandising campaigns is of high importance, a known fact to retailers. Shopping is the result of experience based on conscious and subconscious choices, and the tailored experience can be positive or negative based on the way a store is designed and structured. Using 3D eye-tracking software, retailers can get clarity on where shoppers’ attention landed first when they entered the shop, what they look at in certain aisles or what exactly attracted them at end-caps. This kind of data helps retailers to implement the right store layout, optimal product placement, and signage and increase sales through better customer flow and navigation between the aisles.

Optimal Shelf Level Implementation

A successful strategy is one that has the optimal tools for visual merchandising and intuitive shelf arrangement. The 3D eye-tracking technology not only replaces the old time and cost-consuming trial and error testing methods, but also helps to understand better which, how, and where to position products in a way that can boost sales and appeal to customers. Remote eye tracking also helps to monitors details like how long it took the client to observe a specific product on the shelf, what area he saw first, the number of times they looked at a product, and how long they spent gazing at it for the first time or on average. Retail big data from eye-tracking technologies offers practical information that can help retailers to save big bucks spent on testing methods for shelf level arrangement.

Detailed Display Performance

More often than not, one product sells more than another, and the reason could be anything from colors, the display design, and shape to anything else. Using remote eye tracking, retailers can find what makes a specific product more attention-grabbing than another. This can help discover which signage or particular characteristics make it enjoyable or, on the contrary, ignored. This is made possible by using data to measure display performance by tracking which display promotions are read and which are ignored. It also helps to identify what shoppers tend to look at and what they ignore while passing across an aisle, which display design helps increase sales for the same product across different stores.

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