Transform Your Retail Strategy with AI Image Recognition
Enhance Product Management and Sales Efficiency with Advanced
Computer Vision Technology
This use case demonstrates how businesses can leverage a Computer Vision AI Image Recognition System to analyse and interpret visual data. By using advanced AI algorithms, the system can identify and categorise objects, patterns, and features within images. This technology is precious for industries such as retail, healthcare, and manufacturing, where understanding visual content can lead to improved decision-making, enhanced customer experiences, and optimised operations. Implementing a computer vision AI image recognition system enables businesses to automate tasks, reduce errors, and gain actionable insights from visual data, ultimately driving growth and efficiency.
Key Benefits
The AI image recognition system was able to identify attributes from different clothes and help the business understand the sales/volume of each clothing item based on their attributes, estimating to save them tens of thousands of dollars purchasing the right item
Business Challenge
An online fashion retailer wanted to understand what makes clothes popular.
Traditional research highlighted fashion trends, but they needed more insights.
They sought a data-driven approach to understanding what makes a piece of clothing sell well.
Our Approach
We analysed the client’s business model, focusing on how they buy and promote clothing products.
Explored attributes that could predict product popularity based on sales volume.
Manufacturer-provided descriptions were insufficient, so we created our own attributes using computer vision.
The Solution
Analysed images from the online/ecommerce store to feature engineer attributes.
Conducted feature engineering in two stages: top-level identification (e.g., collar, sleeve, colour, pattern) and detailed attribute labelling (e.g., collar styles: straight point, semi-spread, cutaway).
Identified common attributes among high-selling products.
Business Outcomes
Discovered common attributes correlated with high sales volumes.
Enabled the client to predict sales volumes of different clothing items based on their attributes, optimising inventory decisions.
Estimated savings of tens of thousands of dollars in purchasing optimisation.
Features and Capabilities
AI Image Recommendation Technology
AI Image Recognition Technology Infohensive’s Computer Vision AI Image Recognition System utilizes state-of-the-art algorithms to analyze attributes from clothing items, including color, pattern, style, and more. This technology accurately identifies and categorizes product characteristics, enabling retailers to manage inventory more effectively and make data-driven decisions.
Inventory Management Optimization
Enhanced Stock Control Our solution optimizes inventory management by providing real-time insights into stock levels, popular items, and product performance. By monitoring inventory dynamics based on AI-driven insights, businesses can reduce overstock and understock situations, minimize storage costs, and improve overall operational efficiency.
Sales Forecasting and Demand Prediction
Accurate Sales Projections Infohensive’s system enhances sales forecasting accuracy by analyzing historical sales data and current trends identified through AI image recognition. This capability enables retailers to predict demand more precisely, adjust marketing strategies accordingly, and capitalize on emerging market trends to maximize sales opportunities.
Cost Savings And Operational Effeciency
Smart Purchasing Decisions By leveraging detailed insights into product attributes and customer preferences, our solution helps retailers optimize purchasing decisions. This results in significant cost savings by aligning inventory investments with customer demand, reducing excess inventory, and minimizing markdowns.
Actionable Insights and Reporting
Data-Driven Decision Making Infohensive provides actionable insights through intuitive dashboards and customizable reports. Retailers gain deep visibility into product performance metrics, sales trends, and customer behavior patterns. These insights empower informed decision-making, supporting strategic initiatives such as merchandising optimization and marketing campaign refinement.
Scalability and Security
Flexible and Secure Solutions Our solution scales seamlessly to accommodate varying business sizes and operational complexities. Whether managing a single storefront or a multinational retail chain, Infohensive ensures robust performance and reliability. Security is prioritized with stringent data protection measures, ensuring the confidentiality and integrity of sensitive information.
Reasons to Choose Our: Computer Vision AI Image Recognition Use Case
Potential clients choose our use case because it:
- Delivers Data-Driven Insights: Provides a deeper understanding of product popularity through data analysis, moving beyond traditional research methods.
- Optimises Inventory Management: Identifies attributes that drive sales, enabling precise inventory decisions and significant cost savings.
- Enhances Customer Understanding: Utilises computer vision to reveal customer preferences, leading to more targeted marketing and improved customer satisfaction.
