SECTORS

E-Commerce

The e-commerce sector is shaped by intense competition, constantly changing consumer behaviors, and expectations for personalized experiences. To succeed, merely offering products is not enough; it is necessary to understand the customer, provide a seamless shopping experience, ensure operational efficiency, and turn data into a strategic advantage.

As Corius, we offer the latest technologies, especially artificial intelligence, custom software, and data analytics solutions, to help e-commerce businesses grow and achieve sustainable success in this dynamic environment.

Online Retail Platforms

Development of scalable and high-performance e-commerce sites tailored to your needs, built from scratch or on existing infrastructure.
AI-powered personalized product recommendation engines and search results.
ML-based solutions for dynamic pricing and promotion management.
Data analytics integrations for A/B testing and user behavior analysis.

Marketplace Solutions

Custom software development for multi-vendor marketplace platforms.
Vendor management, commission calculation, and payment flow automation.
Advanced product catalog management, search, and filtering features.
Security and vendor verification mechanisms.

Subscription-Based Business Models

Development of flexible subscription package management and automatic renewal systems.
ML models that predict customer churn rate and suggest preventive actions.
Integration of personalized offers and loyalty programs.
Business intelligence solutions for subscription analytics and reporting.

Omnichannel Sales Systems

Seamless integration between online (web, mobile) and physical store channels (via API).
Unified customer profile and shopping cart management across all channels.
Real-time inventory synchronization and features like 'Click & Collect'.
Ensuring consistent brand and customer experience across channels.

Customer Experience Optimization

AI-powered chatbots and virtual assistants offering 24/7 customer support (LLM-based).
Hyper-personalization engines based on behavioral data (content, product, campaign).
Gaining insights by performing sentiment analysis on customer feedback and reviews.
Data analytics and heatmap analysis for user experience (UX) improvements.