GUEST & SPEAKER STRUCTURE

Chief Guest: Mr. A B M Abdus Sattar — Principal Secretary to the Hon'ble Prime Minister, Prime Minister's Office 

Moderator: Mr. Mirza Salman Hossain Beg, Founder and CEO, iKori Limited

Panelist (Academia):   Dr. Md. Hadiuzzaman - Civil Engineering Department, BUET

Panelist (Government):  Mr. Habibur Rahman— Chairman, Bangladesh Road Transport Authority (BRTA)

Panelist (Government):  Rear Admiral S. M. Moniruzzaman, OSP, ndc, ncc, psc — Chairman, Chattogram Port Authority

Panelist (Government):  Mr. Md Anisur Rahman — Additional Police Commissioner (Traffic), Dhaka Metropolitan Police (DMP)

Panelists (Private Sector):  Amid Sakif Khan, Managing Director, BYD Bangladesh (Promised)

Panelists (Innovator):  Zafir Shafir Chowdhury- Cofounder, Bondstein (Promised)

CONTEXT & BACKGROUND

Congestion in Dhaka costs Bangladesh an estimated US$3 billion or more every year, with average vehicle speeds in the core city falling below 7 km/h at peak hours (World Bank; BUET Accident Research Institute studies). Logistics inefficiency compounds the loss: Bangladesh ranked 88th of 139 economies on the World Bank's Logistics Performance Index 2023, and high logistics costs erode export competitiveness at precisely the moment of LDC graduation. Artificial intelligence offers a practical way out — AI-driven signal and traffic management, GPS-based fleet and cargo tracking, and data-sharing across ports, corridors and last-mile delivery can recover productivity without waiting decades for new physical infrastructure.

SYNOPSIS

Transport is a productivity platform that shapes trade, urban life and national competitiveness. This plenary focuses on how artificial intelligence and real-time data can solve Bangladesh's two most stubborn mobility problems: urban traffic and the end-to-end tracking of transport and logistics. It brings together government agencies, port and traffic authorities, logistics operators, automotive and mobility companies, researchers and investors to identify deployment-ready solutions for intelligent traffic management, supply-chain visibility, freight efficiency and low-emission transport — with an emphasis on investable operating models and pathways from pilot to scale.

OBJECTIVE OF THE SESSION

Identify how AI-based traffic management, digital tracking of transport and logistics, and intelligent mobility infrastructure can raise productivity, trade competitiveness and urban quality of life — and define concrete pathways for pilots, investment and adoption.