Retail & E-Commerce
Smarter Shelves, Better Search, Frictionless Commerce
Retail AI wins or loses on the quality of its product data, its recommendations, and its understanding of what customers actually want. Nextura trains the models that turn catalog noise into revenue signal at the scale e-commerce demands.
What we deliver here.
Product Catalog AI
Image annotation, attribute extraction, multi-angle tagging, and category hierarchy labeling across millions of SKUs, enabling accurate visual search and discovery.
Visual Search & Try-On
Clothing segmentation, body pose estimation, fabric texture annotation, and AR try-on training data for fashion and lifestyle e-commerce.
Review & Sentiment NLP
Multi-language review classification, aspect-level sentiment labeling, and fake review detection datasets in 30+ languages including Indic and Southeast Asian.
Demand Forecasting
Time-series signal labeling, inventory anomaly tagging, and supply chain event annotation for predictive retail AI models.
Retail Computer Vision
Shelf planogram compliance, out-of-stock detection, customer footfall heatmaps, and cashierless checkout training data.
Conversational Commerce
Shopping chatbot intent labeling, product QA pair generation, and RLHF datasets for multilingual retail assistants.
Results that survive production.
Ready to ship Retail & E-Commerce AI that earns its place in production?
Tell us your model, your data gaps, and your deadline. We'll scope a pilot dataset that proves Nextura's quality before you commit to scale.