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ENHANCED PRODUCT CATEGORIZATION
Inaccurate and time consuming manual product categorization.
The company leveraged LinkedAI’s image labeling services to accurately categorize products based on attributes like color, size, and style.
Improved product discovery, leading to a 25% increase in average order value and a 20% decrease in customer returns.
CUSTOMER BEHAVIOR ANALYSIS
Limited insights into customer behavior and preferences within the retail store.
The company leveraged LinkedAI’s image labeling services to analyze in-store surveillance data for customer behavior patterns.
Improved store layout and product placement strategies, leading to a 25% increase in average transaction value and a 20% rise in customer loyalty.
SHELF INVENTORY AUTOMATION
Tedious and error-prone manual shelf inventory management in retail stores.
The company employed LinkedAI’simage labeling services to train AI models that automatically recognize and track product stock on shelves.
Real-time inventory updates reduce stockouts by 30% and optimize restocking efforts, resulting in a 15% decrease in operational costs.
Time-consuming manual sorting and handling of packages in distribution centers and retail stores.
The company utilized LinkedAI’s image annotation tools to enable AI-powered package recognition and sorting.
Streamlined package management processes, reducing handling time by 40% and minimizing package misplacement.
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