Industry Intelligence for the Modern Freight Ecosystem  |  2025

Dieselly.ai Founder Joins Forbes Technology Council to Advance the Case for AI-Powered Freight Fraud Prevention

By [Staff Reporter]  |  Published: [2025]  |  FreightTech Insider

As cargo theft and freight fraud continue to accelerate across the U.S. transportation sector, one of the industry’s most focused technology voices has joined a major platform to amplify the message: Abdulkhamid Abdullaev, Founder and CEO of transportation AI company Dieselly.ai, has been accepted into the Forbes Technology Council, an invitation-only organization for senior technology executives and founders.

Abdullaev’s acceptance into the Forbes Technology Council comes at a critical moment for the freight industry. Fraudulent activity targeting carriers and brokers jumped 27% year-over-year in 2024 according to industry data, with double brokering, identity fraud, and cargo theft among the most prevalent and costly schemes. The losses are not theoretical: individual incidents regularly exceed $40,000 per load, and the cumulative annual cost to the U.S. freight ecosystem runs into the billions.

“The freight industry has a fraud problem that is growing faster than its defenses,” Abdullaev said. “My goal as a Forbes Technology Council contributor is to make the AI-based solutions to this problem more visible, more accessible, and better understood — by carriers, by brokers, by insurers, and by the policymakers who need to understand what’s happening.”

Abdullaev plans to use his Forbes Technology Council platform to publish expert analysis on several specific dimensions of transportation fraud and AI-based countermeasures, including: the behavioral data signatures that distinguish legitimate freight transactions from double-brokering schemes; how machine learning models can be trained on telematics data to detect fuel fraud before it is reported; the structural design requirements for AI systems that can serve as real-time fraud defense infrastructure rather than post-loss investigation tools; and the intersection of cargo theft, carrier identity fraud, and the gaps in current digital verification systems that organized criminal operations exploit.

These topics are not academic for Abdullaev. He built and operated Majha Transport LLC — a multi-state fleet operation that generated over $7 million in revenue — before founding Dieselly.ai, giving him firsthand operational experience with every form of fraud and financial leakage his platform is now designed to prevent. That combination of operator experience and AI expertise is increasingly rare in a sector where most technology founders come from one background or the other but rarely both.

Dieselly.ai’s platform currently integrates with major trucking industry data systems including Samsara, Motive, DAT, Truckstop, McLeod, QuickBooks, WEX, and Comdata, and its Freight Intelligence module has scored over 50,000 carriers for fraud risk and prevented $8.1 million in fraudulent load transactions. The company’s AI Insurance Quoting module — which provides real-time operational truth verification for underwriting purposes — is positioned to address one of the most significant information asymmetry problems in commercial transportation insurance.

Abdullaev is also pursuing a Master’s degree in Entrepreneurship in Applied Technologies at the University of South Florida under Professor Dirk Libaers, a recognized authority on technology commercialization and venture scaling. He frames his Forbes Technology Council membership as an extension of the same mission that drives his academic and commercial work: making the case that transportation should not react to fraud — it should predict and prevent it.

“The technology to protect this industry already exists,” he said. “The gap is awareness, adoption, and the willingness to build systems that share data across the ecosystem rather than hoarding it. Forbes gives me a platform to make that case to the people who have the power to change it.”

Dieselly.ai  |  dieselly.ai  |  Forbes Technology Council  |  University of South Florida