We developed a real-time AI-powered recommendation engine for a leading e-commerce retailer. By leveraging user behavior, purchase history, and seasonal trends, the system delivered personalized product suggestions. Within just one month, the platform saw a 35% surge in sales, a 40% reduction in bounce rate, and increased customer engagement across all product categories.

Our team empowered a national retail chain by analyzing 3+ years of sales data using advanced predictive modeling. We pinpointed high-demand regions and seasonal trends with 89% accuracy. These insights enabled proactive inventory planning, reduced stockouts by 27%, and improved on-shelf availability, directly enhancing customer satisfaction. We built intuitive dashboards that visualized forecast accuracy and sales anomalies in real-time.

We revitalized a global logistics company’s outdated website with a modern, responsive, and SEO-optimized design. The new architecture improved load times by 62%, enhanced mobile experience, and streamlined navigation. As a result, inquiries tripled, organic traffic rose sharply, and user engagement metrics improved significantly. The improved UX and SEO readiness led to a 70% increase in organic search impressions within weeks.

AIWEB built a feature-rich, cross-platform mobile app for a health-tech startup. It included real-time fitness tracking, teleconsultation booking, and personalized health insights powered by AI. The app exceeded 10,000 downloads in just 6 weeks and achieved a stellar 4.9-star rating, becoming a top choice among fitness and wellness users.