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AI-Powered Retail Solutions - Cases Retail

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Accessibility & Inclusive Design ApplicationsAI-Powered Retail SolutionsAugmented Reality & Virtual ExperiencesCustomer Engagement, Loyalty & CRM PlatformsDigital Marketing, Advertising & SEO SolutionsE-commerce Platform Development & ModernizationEnterprise Systems Modernization & Cloud InfrastructureIn-Store Operations & POS SystemsInventory, Supply Chain & Forecasting SystemsMarketplace & Multi-Vendor PlatformsMobile Commerce & Customer Apps
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  2. Retail
  3. AI-Powered Retail Solutions

AI-Powered Retail Solutions

AI-Powered Customer Support and Sales Assistant for Retail Industry

Retail

Design and develop an AI-powered virtual assistant capable of engaging customers in natural language conversations to gather requirements, recommend suitable products, and facilitate detailed product discussions and purchase support. The system should seamlessly transfer complex or personalized conversations to human sales representatives.

Cloud infrastructure (e.g., AWS Cloud), Container orchestration platforms (e.g., Kubernetes), Relational databases (e.g., PostgreSQL)...
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AI-Powered Interior Design and Visualization System for ECommerce Retail Platform

Retail

Design a comprehensive AI-powered system that enables dynamic furniture collage generation, photorealistic room rendering, personalized virtual designing, and immersive product exploration.

AI-driven image and 3D rendering engines, Scalable cloud infrastructure (e.g., AWS or similar cloud providers), Responsive web and mobile front-end frameworks...
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Development of an AI-Enhanced Business Intelligence Platform with Computer Vision for Retail Optimization

Retail

Design and implement a comprehensive BI platform that collects, normalizes, and analyzes customer behavior data, integrating AI modules for recommendations and image recognition, suitable for real-time insights and personalized experiences.

Cloud-based serverless architecture to support scalability and fault tolerance., Apache Spark for large-scale data processing and machine learning pipelines., MLlib and ALS algorithms for collaborative filtering-based recommendations....
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Development of an AI-Powered Shelf and Retail Analytics Platform for Enhanced Store Auditing

Retail

A web-based platform that captures shelf images via mobile or fixed devices, automatically recognizes SKUs and prices through image recognition, and provides detailed analytics reports. The system must support load handling during peak times and facilitate data migration between cloud providers.

Ruby on Rails for backend development, React.js for frontend interfaces, Event-driven architecture leveraging Elasticsearch and RabbitMQ for data processing...
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