AI-Powered Retail Solutions

The system must analyze clothing sketches and body measurements to generate accurate, photorealistic 2D and 3D models, enabling designers to quickly visualize clothing fit and style during the prototyping phase.

Develop an ML-powered demand forecasting engine utilizing advanced neural network architectures, integrated with existing data sources and visual analytics tools to support strategic decision-making.

Design a natural language interface integrated with advanced data analysis modules capable of interpreting user queries and executing complex exploratory data analysis tasks, including variable selection, visualization, and initial insight generation.

Design and implement a computer vision-based platform capable of capturing, processing, and analyzing high-resolution in-store images to monitor stock levels, detect misplaced products, and identify empty shelves in real time. Integrate AI models for product detection and placement verification, and develop dashboards for actionable insights.

A comprehensive platform aggregating verified industry data, offering trend forecasting, competitor benchmarking, AI-driven design generation, and collaboration tools within a user-friendly interface.

Design and implement a comprehensive search system comprising a core search engine, autocomplete, advanced filtering, and configurable synonym and redirect mappings, integrated with a user-friendly configuration platform.

Design and implement a scalable AI-powered chatbot integrated into multiple retail channels to deliver personalized product recommendations, handle customer inquiries, and support targeted marketing campaigns.

Development of an integrated MLOps platform supporting automated data ingestion, preprocessing, model training, deployment, and real-time monitoring, leveraging cloud-native services and orchestration tools.

Create a mobile application utilizing computer vision techniques to locate and identify product packages (SKUs) on store shelves, generate detailed reports, and support real-time monitoring.

The platform must combine AI-driven recommendation, pricing, demand forecasting, inventory management, and customer engagement features within a scalable eCommerce environment, accessible via web and mobile interfaces.

Design and implement an online platform that captures employee-customer conversations via various microphones, transcribes speech using voice recognition technology, evaluates script compliance automatically, and provides detailed analytics dashboards for management oversight.

A comprehensive platform combining secure user management, subscription and payment processing, AI-powered interior design generation, and e-commerce functions, providing a seamless, personalized shopping and design experience.