CASE STUDY

Accelerating Cashierless Experiences with Computer Vision and AI

See how this global retailer scaled R&D, validated sensing systems, and launched touchless checkout faster.

A leading retailer set out to accelerate its next-generation cashierless initiative but faced fragmented development, complex validation requirements across camera, electrical, and optical systems, and slow, inconsistent testing that limited scalability.

They partnered with TSG for its cross-disciplinary expertise in computer vision, machine learning, and sensing systems, along with a proven ability to scale R&D into secure, repeatable, production-ready solutions.

THE OPPORTUNITY

The retailer aimed to accelerate its next-generation cashierless initiative by enabling faster, more scalable development and testing.

THE CHALLENGE

Fragmented development and complex validation of camera, electrical, and optical systems led to slow, inconsistent testing that hindered scale.

THE SOLUTION

From fragmented R&D to scalable cashierless checkout

To accelerate its cashierless initiative, a global retailer needed to move beyond fragmented R&D and establish a scalable, production-ready model that could support rigorous validation, optimize system performance, and enable reliable rollout to live store environments.

Scaled R&D with embedded expertise

Deployed optical and ML engineers to evaluate sensor and edge device performance, quickly identifying constraints and optimization opportunities.

Standardized automation and validation

Built consistent test environments and automated validation processes to ensure accuracy, speed, and reliability before advancing.

Enabled integration and production rollout

Developed secure APIs, integrated vision systems into the delivery stack, and implemented observability and rollout playbooks for safe, scalable deployment.