SHERIDAN, WYOMING - April 14, 2026 - INFORM GmbH, a software developer with more than 1,000 active customers worldwide, has published a study identifying rising complexity as the defining challenge confronting the vehicle logistics sector. The findings point to a convergence of cost increases and transparency gaps that are pushing logistics managers and supply chain operators to reassess how decisions are made across the vehicle supply chain. INFORM develops its software on a Decision Intelligence foundation, combining mathematical algorithms and AI methods, and frames these capabilities as directly relevant to the structural pressures its study describes.
Study Findings
The INFORM study centres on three interconnected pressures building within vehicle logistics. Operational costs are rising in ways that compound existing margin constraints across the sector. At the same time, transparency limitations are reducing the visibility that logistics managers and supply chain operators require to make timely, well-grounded decisions. Together, these conditions are accelerating a sector-wide shift in how decisions are approached-away from less adaptive models and toward more structured, data-informed frameworks. The study frames complexity itself as the defining factor that will increasingly separate operationally effective logistics providers from those facing structural disadvantage.
Business Impact
For vehicle logistics operators, the study's findings carry direct commercial implications. Rising costs translate into tighter unit economics at every stage of the vehicle supply chain-spanning inbound logistics, yard operations, distribution, and final handover. Limited transparency compounds this pressure by increasing the likelihood of unplanned delays, missed scheduling windows, and suboptimal resource allocation. Where operators lack high-resolution process visibility, the ability to respond to disruption is constrained and cost overruns become harder to contain and reverse. INFORM's study positions better decision-making not as an incremental efficiency measure but as a strategic response to conditions that are now structurally embedded in the sector.
Decision Intelligence as Operational Response
INFORM describes its software development approach as grounded in Decision Intelligence, a methodology that applies mathematical algorithms and AI methods to operational planning and execution problems. With more than 1,000 active customers globally, the company has deployed this approach across a broad range of industries and use cases. In vehicle logistics, such methods typically address scheduling, routing, capacity allocation, and process sequencing-areas where growing complexity directly undermines manual or rules-based approaches. The study appears to function as a sector-specific demonstration of operational relevance for INFORM's software portfolio at a time when vehicle logistics is under measurable and increasing strain.
Sector Context
Vehicle logistics sits at the intersection of automotive supply chains, transport infrastructure, and third-party logistics services-a segment that has faced sustained disruption from production volatility, shifting demand patterns, and infrastructure constraints. The identification of complexity, cost pressure, and transparency gaps as co-occurring challenges reflects conditions that have been building across the broader logistics and supply chain sector. For buyers, operators, and decision-makers evaluating operational gaps and technology investment priorities, a study that frames these conditions in sector-specific terms provides a reference point for action. The shift the study describes-toward structured, intelligence-driven decision-making-aligns with a wider industry movement to reduce operational exposure through better process control and forecasting capability.
Key facts:
- INFORM GmbH develops software using Decision Intelligence, combining mathematical algorithms and AI methods
- The company reports more than 1,000 active customers worldwide
- A new INFORM study identifies rising complexity as the defining challenge in vehicle logistics
- Study findings highlight rising costs and limited transparency as primary co-occurring pressures
- The study frames the current environment as driving a structural shift toward better decision-making in vehicle logistics