Mojtaba Mozafari@mozafari
1
Events attended
1
Submissions made
United Arab Emirates
6+ years of experience
About me
Mojtaba Mozafari is a UAE–based entrepreneur, strategist, and technology-driven business builder who specializes in bridging global supply chains with AI-powered trade innovation. As the founder of KIEFZCO and its Iranian sister company KT1CO, he has built a multi-sector import–export ecosystem spanning solar energy, industrial equipment, foodstuff, and advanced logistics — all connected through intelligent automation and digital infrastructure. Driven by precision, speed, and scalable systems, Mojtaba integrates enterprise-level tools such as AI agents, predictive sourcing workflows, and automated delivery chains between Dubai and emerging markets. His signature approach blends hands-on commercial execution with high-level system design: from custom e-commerce architectures and SSO identity layers, to real-time order-tracking dashboards, ERP-ready workflows, container-level sourcing programs, and multi-market sales engines. At the core of his work is the belief that modern trade should be frictionless, transparent, and data-driven. Through Lablaba.ai, he is extending this philosophy into a next-generation AI ecosystem that empowers entrepreneurs and enterprises to operate faster, smarter, and more independently without the inefficiencies of traditional supply-chain models. Mojtaba’s ventures combine AI + commerce + logistics into a unified operational brain, building a foundation for a future where global trading companies run with automated intelligence, human-level decision-making, and market agility at scale.
🤝 Top Collaborators
🤓 Latest Submissions
K-Sales-Expert-KIEFZCO-KT1CO
K-Sales Expert is an AI-powered sales assistant designed for KIEFZCO (Dubai) and KT1CO (Tehran) to transform the way solar equipment is sourced, evaluated, and purchased across the UAE–Iran trade corridor. Built with watsonx.ai, the agent introduces the companies, qualifies incoming leads, and asks all essential commercial and technical questions such as model, capacity, quantity, destination, network type, budget, and payment terms. It then recommends suitable inverter and panel models based on brand reputation, project requirements, and market availability. The system is designed to streamline early-stage buyer engagement, reduce response time, and ensure consistent, professional communication. By acting as the first point of contact, it helps standardize sales interactions, improves customer confidence, and showcases how AI can enhance international trade operations, even in complex regulatory environments. The project demonstrates how intelligent assistants can automate initial sales workflows and support real-world procurement processes for solar and industrial equipment.
23 Nov 2025
