AI-Powered Retail Solutions

Digital transformation of catalog retail with elderly-centric design

Development of AI-driven personalization tools with seamless integration for retail clients

AI-driven recruitment platform with multi-stage automated screening and scheduling capabilities

Integrated commerce ecosystem with multi-stakeholder capabilities

Machine learning platform for demand forecasting and order optimization with real-time data integration

Build an AI system that processes expert content, manages product knowledge, and delivers personalized recommendations with source attribution

The platform will analyze product specifications and market data to provide price estimates. It will offer features for both sellers and buyers to facilitate price discovery and comparison.

The project aims to improve the existing auditing application's core functionalities, focusing on performance, stability, and data processing efficiency.

The system should automatically process printed advertisements, identify ad blocks, extract key information such as product details, prices, offer types, and generate a structured data output.

The application must allow users to scan physical objects using their iOS device’s LiDAR sensor, customize the scanned 3D models (e.g., adjust quality), preview the models in AR, and export them in USDZ format for use in marketing campaigns.

The enhanced Click & Collect platform will provide customers with a user-friendly interface to select pickup locations, schedule convenient pickup times, manage orders, and receive real-time order updates. It will also provide retailers with tools to manage inventory, optimize logistics, and track order fulfillment.

The system must collect and analyze data related to customer movement, behavior, and location. It should provide reporting and analytics dashboards for business users.