Retail Merchandising
A computer vision solution that automates shelf analysis, helping retailers monitor product availability, improve merchandising, and support data-driven decisions.
The client is a retail company operating supermarket and convenience store chains across Central and Northern Europe. Competing in a fast-moving retail environment, the business continuously invests in operational efficiency and merchandising innovation.
To improve product visibility and shelf management, the company sought to augment traditional retail operations with AI-powered computer vision capable of turning shelf images into actionable business insights.
The client wanted to automate shelf monitoring without adding manual workload for store personnel. Lionwood.software developed a computer vision solution combining AI models, mobile applications, and web dashboards to recognize products, analyze shelf layouts, monitor stock visibility, and notify merchandisers when intervention was needed. The platform transformed shelf inspections into a continuous, data-driven process.
Lionwood.software implemented a computer vision platform that combines mobile image capture with AI-powered product recognition and operational dashboards. The solution integrates with existing business systems and delivers real-time insights to merchandising teams.
25% higher sales efficiency
AI shelf recognition
Product and brand detection
Real-time dashboards
Push notifications
ERP integration
Manual shelf inspections are time-consuming, inconsistent, and difficult to scale across numerous retail locations. The client needed an automated solution capable of recognizing products directly from shelf images, monitoring merchandising quality, and providing actionable recommendations without disrupting store operations.
Lionwood.software developed an AI-powered retail platform combining computer vision, mobile applications, and web dashboards into a unified merchandising ecosystem. Store personnel capture shelf images, while the AI model identifies products, evaluates shelf conditions, and generates operational insights for merchandisers and managers.
YOLO-based computer vision
Mobile-first image capture
Real-time analytics dashboards
Automated push notifications
ERP integration
An AI model that detects products, brands, packaging, and shelf placement from photographs.
Lionwood.software delivered the solution through a multidisciplinary team combining AI engineering, software development, and UX expertise. The platform integrates computer vision with enterprise systems while providing intuitive interfaces for field teams and retail managers.
Business analysis and AI concept validation.
Training and integration of the recognition model.
Development of mobile applications and dashboards.
Deployment, monitoring, and continuous improvements.
#HoReCa
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#Transportation & Logistics
Transportation & Logistics
Lionwood.software helps companies integrate AI into real operational workflows. From computer vision and analytics to enterprise software and custom platforms, we build solutions that turn complex technologies into measurable business outcomes.
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Fill the formThe solution uses a computer vision model trained to identify products, brands, packaging, and shelf layouts from photographs taken in stores.
