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    AI powered people counting technology is changing how retailers analyse shopper behaviour and preferences to improve sales at their brick-and-mortar stores. 

    Explore the case study to discover  how understanding your customer’s in-store foot traffic can help optimise store layout for better conversion rates, manage staff allocation, improve marketing and promotional efforts operations, and more. You’ll also get a look at our process—from initial planning to deployment, rollout, and results.

     

    Learn How New Balance Leveraged Beonic’s AI-Powered Platform To Enhance Store Performance

    This Case Study Uncovers:

    • How New Balance used AI-driven insights to optimize store layouts, staffing, and product placements.
    • The specific challenges they faced and how Beonic’s AI driven people counting technology and data analytics capabilities provided the perfect solution.
    • The impressive results: Increased foot traffic, optimised dwell times, and higher conversion rates.

    Why Download This Case Study?

    • Real-World Results: See how New Balance overcame their retail challenges using cutting-edge technology.
    • See AI in Action: Discover how AI and IoT were seamlessly integrated into physical retail environments to yield measurable results.
    • Proven Success: Understand the step-by-step implementation that led to New Balance’s success story.

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    We're proud to partner with these organisations that have joined us in revolutionising the way data drives success.