Improving Audience Understanding and Store Operations with EVERYANGLE and Meraki

Understanding how to best serve customers is a primary focus for retailers. However, gaining this understanding can be complex. Retailers need to know what their customers are buying, when they’re buying it, and their feelings while shopping. Stationing staff members in the store to gauge customer reactions is not an efficient solution. This is where Meraki and EVERYANGLE come into play, enhancing the customer-focused daily operations of the Cisco Store.

The MV12 and MV63 are directional cameras. The indoor MV12 offers a choice of a wide or narrow Field of View (FoV) and provides intelligent object and motion detection, analytics, and easy operation via the Meraki dashboard. The outdoor MV63 monitors the entrances and exits of the store.

Meanwhile, the MV32 and MV93 are 360° fish-eye cameras. The indoor MV32 combines an immersive de-warped FoV with intelligent object detection and streamlined operation via the Meraki dashboard, in addition to addressing major security vulnerabilities. The outdoor MV93 offers panoramic wide area coverage, enhancing surveillance capabilities even in low light.

The data from these Meraki cameras is utilized by EVERYANGLE in the Cisco Store in various ways.

Footfall Intelligence and Customer Demographics

A challenge for physical stores is obtaining metrics comparable to online stores, making it difficult to tailor the retail experience effectively. EVERYANGLE’s technology levels the playing field for physical retailers.

EVERYANGLE uses data from the directional cameras MV12 and MV63 to help the Cisco Store better understand its visitors. The Next Generation Footfall App breaks down customer genders and ages, monitors their satisfaction levels post-visit, and tracks the time spent in various store sections. For example, data from a Cisco Live event revealed a 50:50 male to female customer ratio, contrary to the expected 60:40, leading to adjustments in the Store’s product range.

EVERYANGLE determines purchase conversion rates at physical locations by analyzing integrated sales data and foot traffic. Their machine learning and AI algorithms provide 95% accurate customer insights. Staff members are automatically excluded from these insights, ensuring data accuracy. 

EVERYANGLE’s True Customer Identification accurately distinguishes genuine shoppers from non-customers. This empowers retailers with precise customer data, crucial for targeted strategies and store optimization, ensuring decisions reflect real customer activity.

Improving Audience Understanding and Store Operations with EVERYANGLE and Meraki

The Cisco Store can thus easily gauge customer demographics, engagement, and group dynamics without a heavy in-store staff presence, adjusting displays and marketing tactics accordingly. Fortunately, we have seen an increase in positive sentiment from when customers enter the Cisco Store to when they exit!

Footfall Intelligence 

Customer Demographic Breakdown

Queue Counting and Dwell Times

This data is used to maintain smooth store operations and continuously improve performance. The fish-eye cameras MV32 and MV93 are used to monitor the checkout lines: a threshold on the queue count allows for staff adjustment at checkouts as needed. If people spend a comparatively longer time at certain stations, we can begin to understand if that longer dwell time means more sales of those specific products.

In-Store Security

Meraki’s people detection capabilities, integrated with EVERYANGLE, help the Cisco Store maintain top-notch security. Cameras, integrated with the point of sale (POS) system, anonymously track high-value purchases and returns, aiding in fraud prevention. 

Meraki and EVERYANGLE enable the Cisco Store to better understand its customers and serve them effectively, prioritizing their security and privacy. The analytics and dashboards facilitate customer service improvement, ensuring customers leave with a positive shopping experience.

Source: cisco.com