Finished Vehicle Logistics: Detect damages instantly and assign responsibility
Trusted across industries






























How it works
Scan any vehicle
Scan any vehicle effortlessly with our 360° guided system. Visual AI detects damages istantly-no expertise required.
Actional reports
After the scan, a detailed vehicle condition report is generated, logged, and accesible in your system. Receive alerts on new damages and more.
Track and monitor
Manage your damages and inspections from your dashboard. Customize functionality and acces for different user groups.
68%
Correct adjudication
Actual vs. planned inspections
67k+
Damages detected
17,254
Inspections completed
AI Use Cases for Vehicle Logistics
Vehicle Reception Inspection
Upon receiving the vehicle from the manufacturer, check for any damage or discrepancies in condition.
Transport and Handling Inspections
Regularly inspect vehicles during transit to detect any damages as they occur, ensuring quick identification of responsibility and efficient claims filing.
Pre-Delivery Inspection
Ensuring the vehicle meets all specifications and is free from defects before it’s handed over to the customer or dealer.
Integrate with any platform
Our solutions works across every platform and integration that your organization may need

Standalone systems
Standalone systems
A mobile app for iOS and Android, plus a web platform for managing inspections and customizing processes and user roles.

Integrated functionality
Integrated functionality
Easily add our features to your existing iOS, Android, or web apps with a quick SDK integration.

Plug & Play API
Plug & Play API
For customers with existing image capture systems, our API analyzes uploaded images for potential damage and returns results in real time.
More damages detected
To process an image
Datapoint processed per inspection
Loved by leaders in Finished Vehicle logistics
"At Focalx, complicated solutions are made simple by a team that is good at listening to the market. Input is received with curiosity and they always try to find the best solution for their customers. "
Helle Söderholm
Commercial Director, Applus
"Thanks to Focalx's AI, we saw ROI in the first month by catching damage we could've missed."
Steffen Ness
CEO
Frequently asked questions
We have put together some commonly asked questions
Can Focalx integrate with my existing logistics systems?
Yes, our APIs and SDKs are designed to integrate seamlessly with logistics and fleet management systems.
Does Focalx follow AIAG standards?
Yes, the systems allows reporting in AIAG standards.
Can Focalx handle large enterprise organizations?
Yes, Focalx works with enterprise-level clients and is designed for high inspection volumes.
Does Focalx offer enterprise-grade security?
Yes, we use secure AWS environments.
Want to see how it works?
Join teams transforming vehicle inspections with seamless, AI-driven efficiency
Further reading
Rail Claims: The Part No One Sees Until It Explodes
Rail claims “explode” because verification collapses at interchange points where multiple parties, workflows, and inspection standards meet. In finished vehicle...
Who Pays for Damages (and Why It’s Rarely Fair)
Who pays for damages is rarely decided by what truly happened; it is usually decided by what each party can...
Why ‘Just Train People Better’ Stops Working at Scale
‘Just train people better’ stops working at scale because training improves individual performance, but it does not eliminate the operational...
When Standards Are Optional, Disputes Are Guaranteed
When standards are optional, disputes are effectively guaranteed because the same physical damage can be described, coded, and escalated in...
IT Didn’t Block the Rollout—Bad Rollout Design Did
Bad rollout design, not IT resistance, is usually what blocks a deployment because it tries to solve every dependency (hardware,...
What OEMs Actually Want From Logistics Providers (But Rarely Say Out Loud)
OEMs want logistics providers to deliver provable outcomes—especially around damage, handovers, and claims—not just well-written service descriptions. Finished vehicle logistics...
The Claims Cycle-Time Trap
The claims cycle-time trap: why do damage claims stall for weeks? Damage claims stall for weeks because the underlying evidence...
Stop Paying for Damage You Didn’t Cause
You stop paying for damage you didn’t cause by making liability decisions depend on standardized handover evidence rather than on...
Why Inspection Quality Collapses Under Time Pressure
Inspection quality collapses under time pressure because misses become a predictable outcome of constrained conditions, variable standards, and human limits—not...
Hybrid Inspection Is the Future (and We Learned It the Hard Way)
Hybrid inspection is the future because one capture method cannot reliably fit every finished vehicle logistics node, and we learned...
The Scratch That Bankrupted Trust
The Scratch That Bankrupted Trust: why does a small defect trigger big losses in finished vehicle logistics? The biggest cost...
Why Standards Fail in the Field (Even When Everyone Agrees)
Standards fail in the field (even when everyone agrees) because the gap is rarely knowledge—it is usability under time pressure...
What We Learned Deploying AI Inspections Across Real Operations
We learned deploying AI inspections across real operations that AI works best when the workflow, capture standard, and governance are...
Why ‘Inspection’ Is the Wrong Word: It’s a Set of Events
It is a set of events because what the industry calls an “inspection” is not one workflow with one standard...
You Don’t Need the Whole Chain to Start Getting Visibility
You don’t need the whole chain to start getting visibility because you can start in the nodes you control today,...
The Cheapest Damage Is the One You Stop Before Departure
How do you stop damage before departure? You stop damage before departure by detecting exceptions at the last controllable point...
One Source of Truth Doesn’t Mean One View
One source of truth doesn’t mean one view because the same inspection evidence must answer different operational questions for different...
Why Claims Stay Manual (Even When Everyone Wants Automation)
Claims stay manual because evidence is not standardized enough to move cleanly between stakeholders, populate downstream systems, and still hold...
From Photo to Action: The Workflow Layer FVL Has Been Missing
Finished vehicle logistics moves from photo to action by treating every inspection photo as structured work: an exception that is...
Inspections Don’t Create Value. Closed Loops Do.
Inspections don’t create value because the value is not in detecting an exception—it is in routing it to the right...
The Case for ‘Securement Exceptions’ as a First-Class KPI
The case for ‘securement exceptions’ as a first-class KPI is that if you measure securement exceptions and fix rates, you...
Damage Doesn’t Start With Damage — It Starts With Securement
Damage often starts with securement, because securement is where preventable movement, contact, and load shift begin long before a scratch,...
Why Early AI Adopters in FVL Will Compound Advantage
Why will early AI adopters in FVL compound advantage? Early AI adopters in FVL will compound advantage because they build...
AI as the New Differentiator in FVL Tenders (Profitability = Winning More Contracts, Not Just Cutting Cost)
How is AI becoming the new differentiator in finished vehicle logistics tenders, beyond cutting cost? AI is becoming the new...
5 Common Failures When Adopting AI in FVL Inspections
5 common failures when adopting AI in FVL inspections are rarely caused by the model itself; they are usually caused...
A Simple Maturity Model for Vehicle Logistics Quality
A shared maturity model makes the journey to fast, damage-free delivery understandable and actionable by turning “quality” from an abstract...
The Cost of ‘Evidence Debt’ in Finished Vehicle Logistics
What is the cost of ‘evidence debt’ in finished vehicle logistics? The cost of evidence debt in finished vehicle logistics...
The Surprise Truth About ‘Damage Prevention’
Damage prevention is not about finding more defects—it is about reducing repeat damage by turning inspection results into root-cause decisions...
The Handover Moment: Where Accountability Is Won or Lost
The handover moment is where accountability is won or lost because it is the point of custody change—and the last...
Revolutionizing Finished Vehicle Logistics with FocalXx.ai’s AI-Powered Inspection Solutions
The Finished Vehicle Logistics (FVL) industry faces significant challenges in ensuring vehicles reach dealers and customers in pristine condition. Manual inspections often lead to inconsistencies, inefficiencies, and disputes over vehicle condition at the time of handover. FocalX.ai is transforming this process with cutting-edge AI-powered vehicle inspection technology, enabling logistics providers to streamline operations, improve accuracy, and enhance customer satisfaction.
FocalX.ai’s AI Solutions for Finished Vehicle Logistics
Pre-Delivery Inspection (PDI) with AI
FocalX.ai automates pre-delivery inspections, identifying defects, damages, or inconsistencies before vehicles reach customers or dealers. High-resolution cameras and AI-driven computer vision detect:
- Scratches, dents, and paint irregularities
- Misalignments and missing components
- Windshield and glass damage
This ensures that only vehicles meeting quality standards proceed through the supply chain, minimizing post-delivery complaints and disputes.
AI-Powered Damage Detection
Transportation and storage expose vehicles to potential damage. FocalX.ai’s damage detection system utilizes AI-powered cameras and sensors to:
- Scan vehicles for external and internal damage
- Classify damage severity and generate detailed reports
- Provide real-time insights to logistics providers, reducing disputes and liability concerns
By integrating AI-driven inspections, logistics providers can proactively manage vehicle conditions and mitigate risks.
Seamless Quality Assurance and Inventory Management
FocalX.ai ensures that all vehicles meet manufacturer and dealer standards by verifying:
- Functionality of critical components (lights, mirrors, tires, etc.)
- Presence of required accessories and parts
Additionally, our AI system enables real-time tracking and documentation of vehicle conditions, improving inventory accuracy and preventing miscommunication during handovers.
Automated Reporting and Transparency
AI-generated inspection reports enhance transparency and accountability in FVL. FocalX.ai’s system provides:
- High-resolution images and videos of detected issues
- Automated reports for easy sharing with dealers, insurers, and customers
- Tamper-proof digital records to resolve disputes quickly
This level of documentation builds trust between logistics providers and stakeholders, reducing operational inefficiencies.
Predictive Maintenance and Data-Driven Insights
FocalX.ai goes beyond inspection by offering predictive analytics. By analyzing historical inspection data, our AI system can:
- Identify recurring issues and common damage patterns
- Suggest proactive maintenance to reduce delays and repair costs
- Optimize logistics operations based on data-driven insights
Seamless Integration with Logistics Management Systems
FocalX.ai’s inspection technology integrates effortlessly with existing logistics and fleet management systems. This connectivity allows for:
- Instant synchronization of inspection data
- Faster handovers and reduced downtime
- Enhanced efficiency in vehicle tracking and quality control
The FocalX.ai Advantage: Efficiency, Accuracy, and Scalability
Improved Accuracy and Consistency
AI-powered inspections eliminate human error, ensuring consistent vehicle condition assessments across the entire supply chain.
Faster Inspections, Lower Costs
Automated inspections significantly reduce time spent on manual checks, lowering labor costs and improving operational efficiency.
Enhanced Customer Satisfaction
Detailed and transparent reports improve trust with customers and dealers, ensuring seamless handovers and fewer disputes.
Scalability for Large-Scale Operations
Whether managing a few hundred or tens of thousands of vehicles, FocalX.ai’s AI-driven solutions scale effortlessly to meet the needs of high-volume logistics operations.
Future-Proofing Finished Vehicle Logistics with AI
As vehicle logistics evolve, AI-driven solutions like FocalX.ai’s are becoming essential for staying competitive. Future advancements in AI, including:
- Autonomous inspection robots for large-scale logistics hubs
- Blockchain integration for tamper-proof vehicle records
- Augmented reality (AR) for enhanced damage detection and repair guidance
…will further revolutionize how vehicle inspections are conducted.
Conclusion
FocalX.ai is redefining Finished Vehicle Logistics by delivering AI-powered inspection technology that enhances accuracy, efficiency, and transparency. By automating pre-delivery inspections, damage detection, and quality assurance, we empower logistics providers to reduce costs, improve customer satisfaction, and streamline operations.
Join the future of vehicle logistics with FocalX.ai and experience the power of AI-driven inspection solutions today.