DingGo has launched Crash Intelligence, an AI-powered platform designed to estimate the cost of minor vehicle damage from a small number of photographs.
The Australian technology company says the platform can provide an estimated repair cost within seconds, giving dealerships, service departments and repair businesses a faster way to assess dents, scratches, scuffs and minor collision damage.
Crash Intelligence has been developed using data from hundreds of thousands of completed Australian vehicle repairs managed through DingGo’s network.
Rather than relying on a general-purpose artificial intelligence model, DingGo says its platform compares photographed damage with the actual cost of similar repairs previously completed in Australia.
Faster decisions at the service counter
Damage assessment can be a slow and uncertain process for dealerships and fleet operators, particularly when a vehicle is being serviced, returned, traded or prepared for disposal.
A customer may leave before a repair quote is available, while visible damage on a trade-in can become a negotiation point without either party having a reliable estimate of the likely repair cost.
Crash Intelligence is intended to provide an initial figure while the vehicle is still on site.
DingGo Co-Founder and CEO Shaun Janks said the inability to quickly price visible damage could result in missed repair work and reduced margins.
“We hear the same pain point over and over again, from dealer principals to service managers,” Janks said.
“They know that there’s revenue in the damage they see every day, but they have no fast, reliable way to price it. By the time a quote comes back from a third party, the customer is gone and the margin goes with them. Crash Intelligence puts the answer in their hands before the car leaves the site.”
DingGo claims the platform can deliver approximately 95 per cent accuracy for smaller, commonly photographed repairs. As with any automated estimate, users will still need to consider the type and extent of damage, including any issues that may not be visible in photographs.
Potential applications for fleets
For Fleet Managers, Crash Intelligence could have applications across several stages of the vehicle lifecycle.
The ability to produce an early repair estimate may help fleets assess accident damage, compare repair options, approve minor work and make decisions about whether damage should be repaired before an asset is sold or returned.
It could also support end-of-lease inspections and vehicle disposal processes by giving fleet teams an earlier indication of the financial impact of visible damage.
For dealerships, DingGo has identified three main applications: calculating trade-in damage deductions, offering repairs while a vehicle is in the service department and providing customers with a branded digital estimating tool.
Repairers may use the platform to reduce the time spent producing initial assessments and re-quoting jobs, although a detailed physical inspection may still be required before more complex work is authorised.
Repair data underpins the estimates
DingGo said Crash Intelligence was developed over eight years and was trained exclusively using repair information collected through its collision-repair network.
Every completed repair managed through the platform adds further information to the dataset, which the company says will improve its coverage and accuracy over time.
DingGo Co-Founder and CPO Josh Sandford said the platform was based on completed repairs rather than theoretical pricing.
“We did not build Crash Intelligence by fine-tuning a generic model and calling it a product,” Sandford said.
“We built it by managing hundreds of thousands of real repairs, capturing the actual cost data behind every one, and training the platform exclusively on that closed loop system. That is why the estimates are grounded in industry standards, rather than guessed, and it is something that can’t be replicated overnight.”
DingGo also holds ISO 27001 certification, which relates to information security management systems. This may be relevant to larger fleets, dealerships and repair organisations assessing how vehicle, customer and repair data is handled.
Supporting fleet management excellence
DingGo is a Foundation Sponsor of the Fleet News Group Awards, which recognise and encourage fleet management excellence across Australia.
The Awards highlight organisations, fleet professionals and suppliers that demonstrate measurable improvements in areas including safety, sustainability, technology adoption and overall fleet performance.
Crash Intelligence reflects the growing role of data and automation in vehicle lifecycle management. Its value for fleets will ultimately depend on how consistently its estimates compare with final invoices and whether the platform can reduce assessment time without creating additional administration or uncertainty.
