Revolutionising In-Store Analytics With LiDAR and Captive Portal WiFi

Empowering a Global Fashion Brand: How Beonic’s AI-Driven Platform Enhanced In-Store Performance  

The client is a multinational clothing company based in Sweden that focuses on fast-fashion and has a coverage of over 4,800 stores in 75 geographical markets under various brands.

As the rapid shift in the retail industry continues, the client wanted to understand their in-store analytics better and how shoppers behave to improve both their ways of working and customer satisfaction.

The Problem

Across the globe, there are many different types of stores within the client’s portfolio with varying layouts. From small local shops that specialise in specific departments, to huge, multi-level flagship stores that contain their entire collection, every building requires its own solution that fits the client’s analytical requirements as well as the preservation of the building it is in. The client was looking for a solution that could be used across their portfolio and be flexible to the needs of each store.

The client also wanted to be able to answer specific questions. For example: 

• Which rails are more popular? 

• Are customers using certain stores as walk-throughs? 

• Do self-service tills reduce the need for staff managed tills?

These types of questions require highly accurate data that is precise down to the centimetre.

The Solution

As a global data and technology company, Beonic has a depth of experience in the retail industry for a range of technology and in-store analytics services. This includes Captive Portal WiFi, People Counting, Data Analytics, LiDAR, Data Science, Marketing Services, and Support. 

Supported by a team of experienced system engineers, the Beonic solution utilised a cabled installation, best-in-class sensors, and our scalable multi-data platform. 

Beonic’s omni-channel solution utilised the pre-existing captive portal WiFi technology as well as new LiDAR sensors that were installed across the store. Cutting-edge digital LiDAR sensors were leveraged to monitor shopper behaviour. Multiple sensors worked together to follow shoppers over multiple touch points like entrances, clothing rails, and tills. Captive portal WiFi data was used to understand the behaviour of new vs. returning guests, as well as provide additional data to more accurately segment customers.

The Results

The client was provided with a cloud-based suite of customer analytics and engagement tools that helped them better understand and influence the experiences in their stores.

These proprietary dashboards provide:

• Insights into how effective the store layout is at attracting customers to browse and purchase, identifying ‘hot & cold spots’ in order to best optimise their store design. 
• Ability to set location based alerts and triggers which help optimise staffing levels within your store. By accurately measuring queue length and occupancy, additional staff can be alerted to help when needed.
• Accurate measurements of passerby footfall traffic for the client to clearly understand the ‘window conversion’ rates for each store.
• Integrations with existing data points such as in-store WiFi, POS data, and people counters to build up a richer ‘omni-channel’ data set to provide a robust ROI.  

Beonic delivers solutions that are innovative, representative of the best technology in the market, adoptive of the best service delivery practices, and are future-proofed to meet our clients’ needs.

To learn more about how Beonic’s solutions can optimise in-store analytics and transform your retail operations, visit our Solutions page or Request a demo today.