SeeChange Technologies: How AI is Used in Retail Stores
1. Introduction to the Company
SeeChange Technologies is a UK-based leader in Vision AI solutions tailored for the retail sector. Founded in 2021 after incubation in Arm Ltd., the company specializes in transforming existing retail infrastructure into intelligent systems that enhance operational efficiency, safety, and customer experience. Its flagship platform leverages computer vision and machine learning to provide real-time insights across various retail touchpoints, from aisles to checkouts.
2. Features of the Product/Platform
- Computer Vision AI Platform: Processes data from existing sensors like CCTV cameras and self-checkout systems to recognize real-world scenarios.
- Units of Recognition: Breaks down raw data into meaningful units, which are then combined into use cases for specific business needs.
- AI Rules Engine: Applies business logic to the recognized units, triggering alerts and actions in real time.
- Dynamic Configurability: Allows businesses to adjust sensitivity based on changing circumstances like seasonality or footfall.
- Seamless Integration: Integrates with existing retail systems, including store communication methods, self-checkouts, CCTV, etc., facilitating quick deployment.
3. Challenge the Company Is Solving
Traditional retail environments often struggle with issues like theft, operational inefficiencies, and inconsistent customer experiences. SeeChange addresses these challenges by providing a platform that offers real-time visibility and actionable insights, enabling retailers to proactively manage risks, streamline operations, and enhance the overall shopping experience.
4. Benefits of Using the Product/Platform
- Loss Prevention: Reduces shrinkage by connecting real-time events in aisles and at shelves, checkouts, and exits.
- Operational Efficiency: Automates routine tasks and provides real-time data to optimize staffing and reduce unnecessary employee interventions.
- Enhanced Safety: Detects hazards like spills or blocked exits, allowing for immediate action to prevent accidents.
- Improved Customer Experience: Speeds up checkout processes and reduces friction points, leading to higher customer satisfaction.
- Scalability: Designed to scale from single-store deployments to enterprise-wide implementations.
5. Recommendations on How to Best Use the Product
- Integrate Seamlessly: Leverage existing infrastructure to minimize deployment time and costs.
- Customize Use Cases: Tailor the AI rules engine to address specific business challenges and objectives.
- Monitor and Adjust: Continuously monitor performance metrics and adjust configurations to adapt to changing business needs.
- Train Staff: Ensure that employees are trained to understand and interact with the system effectively, maximizing its benefits.
For more information, visit SeeChange.
