Streamline everything from proof of delivery and real-time driver tracking, through to route optimisation and customer updates. Save time, reduce operating costs, and boost productivity with Detrack.
Integrations
Integrate with the best accounting and SMS platforms. From order creation through to proof of delivery, everything works together seamlessly - orders sync automatically, customers get notified instantly and drivers receive jobs in real-time.
Test drive all features for free
It only takes a few minutes to add your drivers, upload or create jobs and start branding your customer comms. Our free trial gives you access to all features for 14 days. We know that there aren’t enough hours in the day and our experts are available 24/5 to help you get set up to achieve your goals faster. You can chat live or book a call back for practical, hands-on support.
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Vehicle Acquisition Network (VAN) is an automotive software platform built to help car dealerships acquire high-quality used vehicles directly from private sellers—without relying on auctions. As wholesale prices rise and vehicle availability tightens, VAN empowers dealers with tools to source inventory faster, more profitably, and with greater control.
VAN aggregates local FSBO (for-sale-by-owner) listings, applies real-time market data to assess profitability, and automates communication with sellers at scale. Buyers can manage leads, track seller conversations, and streamline acquisition workflows through an intuitive CRM-style dashboard designed specifically for dealership teams.
For dealers who don’t have dedicated acquisition staff, VAN offers a Managed Buyer program, pairing stores with expert buyers who actively source, engage, and negotiate with private sellers on their behalf—saving time and boosting acquisition volume without internal hiring.
VAN is trusted by hundreds of dealerships across North America—from independent rooftops to franchise groups—looking to beat Carvana and CarMax at their own game. It's the smarter way to buy cars.
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Safe Fleet FOCUS
Utilize automated license plate recognition to track down criminals effectively. The Safe Fleet® FOCUS™ H2, equipped with an ALPR system, serves as a robust instrument for law enforcement, facilitating the identification of vehicles and individuals linked to criminal activities. By creating and managing hotlists of warrants, crimes, and suspects, this system enhances the ability to spot offenders, thereby increasing the number of eyes on the ground. Officers can improve their efficiency and safety by automatically analyzing thousands of license plates, capturing images at high speeds and from sharp angles across multiple lanes of traffic. The data collected can be shared seamlessly with pertinent local and national law enforcement agencies, ensuring a coordinated effort in crime prevention. Whether through fixed installations, portable units, or mobile setups, the system can be mounted on front grilles, lightbars, or used at special events, making it versatile for different scenarios. Additionally, it ensures that officers are alerted in real-time about suspect vehicles, utilizing the latest information from APBs, BOLOs, and Amber alerts, thus maximizing the chances of apprehending criminals swiftly. With this advanced technology, law enforcement can significantly enhance their operational capabilities and response times.
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SentiVeillance SDK
The SentiVeillance SDK is tailored for creating applications that execute biometric facial recognition, track moving pedestrians, vehicles, or various objects, and automatically recognize license plates through live feeds from digital surveillance cameras. This SDK facilitates passive identification, meaning it can recognize individuals without requiring them to take any deliberate action to be identified. Its potential applications span various fields such as law enforcement, security services, attendance tracking, visitor counting, traffic oversight, and a range of commercial uses. By leveraging SentiVeillance technology, users can achieve real-time face recognition, as well as the classification and tracking of pedestrians and vehicles. Optimized for multi-core processors, the technology ensures rapid processing capabilities. Additionally, SentiVeillance can also handle data from recorded video files, enabling processing either in real-time as if sourced from a virtual camera or at maximum speed, contingent on the available hardware resources. This flexibility allows for versatile deployment in diverse environments.
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