Maximise profitability of your retail business with custom AI solutions
Product Recognition
Enhancing customer experience and automating processes remain ongoing priorities for any business. With a product recognition solution, you can find missing items, streamline stock management, and get more reliable data to draw your business processes upon.
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Years expertise
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Satisfied clients
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Team members
With Altamira, you can streamline store operations, ensuring products are properly displayed and overall shopping process runs smoother.
Computer vision-based product recognition technology is mainly used in retail stores. It serves two main purposes:
- It helps analyse planograms, showing the perfect arrangement of products on shelves
- It enables self-checkout systems by identifying and tracking the items customers are buying
Product recognition use cases
Planogram compliance
Cameras and mobile phones with computer vision-powered applications help analyse planograms and ensure adherence to the store’s strategy, representing another move toward digitising the retail environment.
Automated checkout
Automated computer vision-powered systems improve the shopping experience by reducing waiting times, enhancing convenience for customers, and decreasing costs on the retailers’ side.
Store stock audit
Store stock audits empowered by computer vision streamline and enhance inventory management, providing real-time insights into stock levels and discrepancies.
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Altamira has been awarded numerous times for its performance and achievements. Join our community of successful customers, whom we helped to build and grow their businesses through product recognition solutions.
Inventory tracking
Eliminate errors in inventory management with precise product identification, ensuring accurate stock levels.
Quality control issues
Detect and identify defective or mislabelled products automatically, maintaining high standards of quality control.
Product identification
Minimise the risk of human error by using AI-driven recognition for consistent product information.
Loss prevention
Strengthen loss prevention measures by accurately tracking products throughout the supply chain and in-store.
Cataloguing
Automate the process of cataloguing products, significantly reducing the time and effort required for manual entry.
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Our tech stack
Our AI experts deliver high-end business tech solutions that enable efficient product identification and tracking in various environments.
Explore our full range of services
Identify and assess vehicle damage and activate insurance policies on the spot without any need for expert assessment.
Transform your visual data into actionable insights, enabling accurate image identification and categorisation for various industries and use cases.
Eliminate manual data entry, categorise documents, process images, or transcribe videos, converting text into digital format.
Automate processes, gain insights into customer behaviour, and product performance with real-time object detection and classification.
Ensure top-notch quality control, automatically detecting and classifying product defects to maintain high standards.
Case studies
People also asked
AI in computer vision refers to the implementation of artificial intelligence techniques to enable computers and systems to derive meaningful information from digital images, videos, and other visual inputs. It involves training machines to interpret and understand the visual world in a way that mimics human vision, using deep learning models and neural networks.
Yes, computer vision solutions utilise AI techniques, particularly machine learning algorithms, to interpret visual data. However, not all AI involves computer vision. AI can be applied in other domains like speech recognition, analytics, and language translation. Get in touch to discover more!
Yes, AI computer vision can predict outcomes based on visual data analysis. By training on large datasets, these systems can identify patterns and make predictions, such as forecasting trends, detecting potential defects in manufacturing, or anticipating movements in autonomous vehicles.
AI recognition refers to the ability of AI systems to identify and understand patterns, objects, speech, text, or data. Computer vision often involves recognizing and interpreting visual elements in images or videos, such as facial recognition, product recognition, object detection, and scene analysis. Contact us to learn how AI recognition can benefit your business.
AI can significantly facilitate product development by analysing market trends, customer preferences, and feedback. It can also streamline the design process through predictive modeling, automate testing and quality control with precision, and enhance customisation and personalisation of products based on consumer data analysis. For example, by integrating AI product recognition technology, retail stores can swiftly identify items for inventory management and enhance customer shopping experiences. Contact us to learn more!
Visual recognition AI is a technology that enables computers to identify and process visual data from the world around them. This includes identifying objects, faces, scenes, and activities in images and videos. It’s widely used in various applications, from security surveillance to healthcare diagnostics and consumer applications like photo tagging. For example, the latest advancements in computer vision recognition have significantly improved the accuracy of automated facial recognition systems used in security applications.
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