1st International Conference on Smart Mobility and Vehicle Electrification

Comparative Analysis of Smart Freight Matching Business Models and Sustainability KPIs

Tomas Agustin Bas, Samira Keivanpour & asad yarahmadi
Publisher: IEOM Society International
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Track: Digital Transformation of Business Models
Abstract

The logistics and transportation sector is evolving rapidly due to digital advancements. A notable innovation in this field is Digital Freight Matching (DFM) platforms, reshaping freight matching. Comprehensive examination of DFMs indicates varied business models. A business model provides a structured framework for how a company generates value and profit, ensuring clarity in strategy, operations, and stakeholder engagement. Generally, the business models in the context of freight logistics can be classified into five different categories: Platform-based, Brokerage, Carrier-based, SaaS-based, and Asset-light models. Each configuration has distinct advantages and challenges, influencing a company's strategic choices. This study investigates these models, analyzes their influence on sectoral effectiveness, profitability, and long-term viability. The analysis compares their performance metrics, efficiency, expense, and sustainability considering market fluctuations. The findings aim to aid practitioners, regulators, and scholars, enabling informed navigation through the shifting logistics landscape.

Published in: 1st International Conference on Smart Mobility and Vehicle Electrification, Southfield, USA

Publisher: IEOM Society International
Date of Conference: October 10-12, 2023

ISBN: 979-8-3507-0550-8
ISSN/E-ISSN: 2169-8767