Retail / E-commerce

*Overview DataClap delivers specialized annotation services tailored for the retail and e-commerce sectors. We provide accurate product image tagging and categorization to enhance visual search and recommendation systems, sentiment analysis of customer reviews to gauge consumer feedback, and detailed chatbot data labeling that improves customer interaction and support automation. Product Image Tagging & Categorization: Precise labeling of product images by attributes, styles, and categories for optimized search and inventory management. Customer Review Sentiment Analysis: Annotating sentiment, intent, and key topics within customer reviews to extract actionable insights. Chatbot Data Labeling: Structuring conversational data with intent, entity, and dialogue act annotations to train robust virtual assistants. Deliverables Annotated datasets in JSON, CSV, or relevant e-commerce platform formats Quality and consistency reports with accuracy and inter-annotator agreement metrics Customizable taxonomies and label hierarchies to match client product catalogs and chatbot intents Documentation of annotation protocols and verification processes Security & Compliance Data is processed under encrypted storage, private S3 buckets, and role-based access protocols. Optional compliance packages available for regulated industry datasets. Integrations & Scalability Compatible with AWS S3, SageMaker, and common data management systems Scalable workflows to handle large product catalogs and high-volume review datasets API support for real-time annotation updates and chatbot model retraining Use Cases Enhancing product discovery and recommendation engines Extracting meaningful customer sentiment for marketing and product development Training responsive, accurate retail chatbots for improved customer service Creating benchmark datasets for retail AI application validation *