AI-powered mobile app solution for product recognition and in-store operations improvement
Enhanced in-store performance powered by image recognition technology
About the client
Our Client, a retail startup based in the USA, envisioned a mobile app solution to improve in-store operations and product accessibility for staff and customers alike.
Our Expertise
Mobile App Development
Artificial Intelligence
Scope
Discovery phase
MVP
Product development
Vertical
Retail
Key results
- Image recognition and AI integration
- Boosted user satisfaction and accessibility
- 30% time reduction spent locating and recognizing products
- Accurate product information across all locations
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01
The Challenge
Artificial intelligence brings new life to the retail sector, enabling businesses to streamline their processes, find new ways to connect with customers and improve the shopping experience.
The Client’s main goal was to create a simple and user-friendly application to recognise retail stores’ products. The goal was to streamline product management, facilitate product placement, reduce staff workload, and provide accurate, instant product information.
Manual auditing of retail shelves is time-consuming and often subjected to mistakes, with an error rate as high as 20%. To address this challenge, it was decided to AI and implement image recognition technology to simplify product placement and stock tracking, offering retailers more accurate and dependable data to guide their business operations.
Additionally, the solution should address the following challenges:
- Inefficient product tracking across multiple store locations.
- A lack of synchronisation between new products and their in-store availability.
- Low internet connectivity
One of the biggest challenges was ensuring reliable synchronisation of product updates, especially in offline mode. Altamira’s developers implemented smart synchronisation protocols, enabling smooth transitions between online and offline operations. Our team also refined image recognition algorithms through extensive testing, ensuring high accuracy even in low-light or cluttered environments. The final phases covered thorough testing to deliver a reliable, user-friendly solution.
02
The Solution
Altamira’s role began with understanding the Client’s vision and engaging their internal team during key stages of the project. Collaborating closely with the Client’s operational teams, we structured the project into three phases:
- Discovery and planning: Gaining a deep understanding of their retail operations and product catalogue to define technical requirements.
- Development and testing: Building and iterating on the solution with frequent feedback sessions.
- Deployment and support: Ensuring integration into the Client’s environment and ongoing technical assistance.
Our team’s deep expertise in AI technology, cross-platform development, and retail industry in general, was key to solving the existing challenges. Our experts designed a custom cross-platform mobile solution that balanced technical and business impact. Using Flutter for the front end and PHP for backend services, Altamira ensured the application could scale and adapt to the Client’s growing needs.
Key features
- Image recognition and AI integration: Users could identify products on shelves using their mobile devices and newly delivered software, which resulted in reduced manual searches.
- Multi-scanner support: The app included barcode and trademark scanning capabilities for added flexibility in product placement automation and overall store operation routines.
- Product information library: The app offers a centralised database with product descriptions and categories, which allows users to quickly learn about product locations, prices, availability, etc.
- Audio features: Users could receive auditory cues and details about scanned items, improving accessibility.
- Admin panel synchronisation: A backend system enabled the Client’s team to add and update products in real-time, ensuring synchronisation across stores.
- Offline mode: The core app features, such as search, catalogues, and libraries, operate without an internet connection.
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03
The Result
As a result, the delivered AI-powered mobile app solution empowered store employees to quickly locate and recognise products on the shelves, reducing time spent on inventory tasks by 30%. On top of it, the synchronised admin panel ensured accurate product information across all locations, minimising errors.
Also, informative audio features boosted user satisfaction and accessibility by providing easy-to-follow product details. The offline mode ensured uninterrupted functionality, even in stores with limited connectivity.
Through a combination of advanced technologies, functionality, and user-focused design, Altamira helped the Client redefine the role of AI in retail, delivering a tool that met their immediate objectives and opened the door to new opportunities in the busy retail space.
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