Articles
Read articles by the Avathon staff on artificial intelligence and how AI is transforming industry
AI: Bridging the Gap Between Insight and Action
Author: Bart A. De Muynck In boardrooms across the globe, Artificial Intelligence (AI) is being lauded as the single greatest transformation engine for efficiency, resilience, and competitive advantage in a generation in supply chain. Yet, for every success story, the reality is stark: 95% of enterprise AI projects are a complete failure, representing billions of dollars being “lit on fire” with no measurable return on investment (The GenAI Divide STATE OF AI IN BUSINESS 2025 – MIT). This profound gap between promise and reality has one single, non-negotiable cause: a broken foundation rooted in low-quality data. To move past this crisis, supply chain leaders must shift their focus from the
Energy and AI: Powering Up Intelligence
Fresh off Reuters EnergyLIVE 2025 in Houston, we’re still digesting everything we heard and learned about the current state of the energy industry and the issues on the minds of industry leaders. Key challenges and opportunities of course vary depending which industry you happen to work for (oil and gas, electric power, renewables), but there are definitely some consistent themes that emerged from our discussions with line-level managers and executives from these verticals. It will not come as a surprise to hear that top issues center around operating and capital costs, particularly given the parlous state of the economy throughout much of this year and prospects for the coming year.
AI Powers Operating Performance in the Oil and Gas Industry
The oil and gas industry faces profound challenges due not only to the rapid growth in renewable energy and EVs, but also the accelerating pace of technology. AI creates immense value in the operating areas unique to each major energy sector, but there is also significant opportunity for value creation that spans the full oil and gas value chain. Avathon’s Autonomy Platform for Oil and Gas Operations leverages the operating data that upstream, midstream, and downstream operators possess and turns that information into valuable insights that maximize asset performance, production outputs, and worker safety, all using the power of AI.
Artificial Intelligence—A Prescription for Industrial Asset Performance Optimization
Industrial companies spend billions annually purchasing, operating, and maintaining capital-intensive assets. Whether it’s oil platforms, manufacturing plants, power generation equipment, or wind turbines, the challenge is the same: keep your assets producing as economically and for as long as possible while driving maintenance costs down and ensuring product quality remains high. In years past that meant lots of preemptive maintenance to hedge against the possibility of asset failure, maintenance that in many cases was actually unnecessary and incurred undue costs, both in terms of work performed and productivity lost during that work.
AI Drives Opportunity in South Asia
The Asian subcontinent—and India in particular—presents vast and unique opportunities for Artificial Intelligence (AI) due to the area’s scale, diverse population, and strong government focus on digital transformation. Three specific industry verticals—manufacturing, aerospace, and energy—offer especially immense opportunities to leverage AI’s capabilities, supported by government initiatives like the “Make in India” and “Production Linked Incentive” schemes, as well as a strong focus on transitioning to Industry 4.0. AI is critical to these industries for its ability to improve product/service quality, lower operating and capital costs, and increase global competitiveness.
Artificial Intelligence Optimizes MRO Operating Performance
Avathon harnesses the power of AI to turn today’s MRO practices from statically planned and reactive to dynamically planned and proactive. Autonomy for MRO Operations enables users to rapidly detect emerging issues, prescribe the most effective actions, and align the entire maintenance ecosystem in real time. Autonomy for MRO’s wide-ranging feature set equips asset managers—whether aircraft, vehicles, manufacturing equipment, or energy providers—to extract the most value from their asset base while minimizing recurring and capital costs.
Global Trade Management Demands World Class Autonomous Capabilities
Global trade management regulations are a constantly moving target. In a trade environment as complex and fast-changing as the current one, the ability to quickly and flexibly adapt to changes is key to commercial success. Supply chains span international boundaries, and every decision on classification or tariff optimization includes potential compliance risk. Products must be delivered on time, in the required quantities, and at the expected cost. Avathon Autonomy for Global Trade Management delivers on these unflinching demands.
Keeping Aviation Assets Airborne in Turbulent Times
Avathon’s Autonomy for Aerospace Operations is an integrated artificial intelligence (AI) platform that analyzes supply chain, manufacturing, and maintenance data, delivering actionable recommendations that enable coordinated decision-making across the full range of end-to-end aerospace processes. By leveraging the full power of AI, leaders in the aerospace industry turn complexity into operational advantage—connecting manufacturing, maintenance, and supply chain data to better manage resource constraints, quality challenges, and parts availability for production or in-service fleets.
Forcing the Pivot: What the End of De Minimis Means for Logistics Providers
The suspension of the de minimis exemption (Section 321) is a monumental shift for logistics providers—from giant express carriers like FedEx and UPS to the thousands of global freight forwarders—whose business models were optimized around high-volume, frictionless small parcels. The end of duty-free, minimal-paperwork entry is forcing a profound pivot from a speed-and-volume focus to a compliance-and-data-first approach. With the advances in AI, especially natural language processing and large language models, the industry can effectively deal with these changes.
Agentic AI Amplifies Success in Logistics Planning
Growth in global maritime logistics is forecast to grow at about 2.4% annually through the end of the decade according to the UN Conference on Trade and Development (UNCTAD). And growth across all global logistics is expected to increase at a CAGR of 7.2% from 2025 – 2030, according to a recent report by Grand View Research. But these growth projections have a counterpoint: The sector faces powerful headwinds in the never-before-experienced geopolitical challenges of tariff volatility, embargoes, war, and piracy—resulting in strategic gamesmanship being played out across global supply chains.
Effective Data Management plus Integrated Asset Models Define Performance Success
Reframing the Industrial AI Frontier: Verdantix Green Quadrant 2025 Verdantix has released its latest Green Quadrant: AI Analytics Software 2025, a comprehensive benchmark of how leading industrial AI platforms are redefining performance, reliability, and autonomy across global operations. Among the nineteen vendors evaluated, Avathon was positioned as a Challenger—a designation that reflects both the strength of our platform’s foundation and the pace at which we’re advancing the frontier of applied industrial intelligence. A market defined by acceleration Verdantix describes a market in rapid evolution, where AI analytics is transitioning from insight generation to decision execution. Generative AI and agentic automation are reshaping expectations.
The Symbiotic Nexus: Decision Intelligence and Decision Execution Platforms in the Modern Supply Chain
Author: Bart A. De Muynck — Advisor, Avathon
The relentless pace of global commerce, amplified by unprecedented disruptions like tariffs, geopolitical shifts, and volatile consumer demands, has solidified supply chain agility as the ultimate competitive differentiator. What began as a simple quest for real-time visibility—a digital dot on a map—has rapidly evolved into a sophisticated pursuit of Decision Intelligence Platforms (DIPs) and, increasingly, their symbiotic partners: Decision Execution Platforms (DEPs). These two technological pillars are fundamentally reshaping how businesses navigate complexity, not just through insights but through automated action, paving the way for truly autonomous supply chains.
