privacy-first
occupancy analytics.

Pets at Home is continuously investing in its sites to improve the in-store experience for customers. Recently, the group introduced a range of Pets-branded merchandising fixtures and engagement points, including product spotlights and interactive screens.

However, Pets at Home had no data on which fixtures customers found engaging and which were less appealing. The group did not want an expensive camera-based system and instead opted for Pemberton Digital's privacy-first, radar-based solution to measure customer interactions in store.

Pemberton Digital deployed mmWave advanced occupancy sensors at strategic locations in store to capture customer flow and dwell. The client-facing product was a digital floor plan and dashboard, reporting key appeal metrics:

• Impressions – the number of customers who passed the fixture
• Engagement – the number of customers who paused at the fixture
• Browse time – the average time customers spent at the fixture

The Result

Using real data captured in store, Pets at Home gained a clear view of how its merchandising and engagement points were performing. This insight allows the business to continuously refine in-store features and make better-informed decisions about which fixtures to include in future refits, improving the customer experience while avoiding unnecessary spend.

Why It Works

Pemberton's solution met Pets at Home's requirements around privacy, scale and cost, providing access to behavioural data that had previously been difficult to capture. The underlying technology is well suited to large, open-plan trading areas, making it a practical and deployable solution for Pets at Home's large-format stores.

K10 is a quick-service restaurant chain serving the City of London's lunchtime rush. With a narrow service window, maximising throughput and conversion is critical to success.

As operators like K10 scale across multiple locations, maintaining visibility at site level becomes a challenge. Multi-site managers are stretched between stores, making it harder to intuit busyness, manage queues and optimise staffing. Reliable data is required to plan and resource effectively.

Pemberton Digital deployed a queue detection and reporting solution using a single ceiling-mounted mmWave sensor positioned above the service counter and within reach of the store entrance. The system:

• Tracks footfall and total occupancy
• Measures queue length, customer wait time and peel-off
• Reports trends, anomalies and alerts via a central dashboard

Why It Works

Recognising and addressing service bottlenecks improves throughput, margins and profitability, particularly during compressed service windows. Pemberton's lightweight, cost-effective and fully private solution operates independently of existing store systems, making it a practical alternative to video-based solutions, which are often costly and overbuilt for most hospitality environments.