Compare GenLogs vs. Lane Match

GenLogs is an advanced freight intelligence platform that leverages a comprehensive array of roadside sensors, cameras, satellites, and both proprietary and publicly available data to provide immediate, accurate insights into the movements of commercial trucks and trailers, the identities of carriers, details about their equipment, and lane activities on a large scale. By consolidating trillions of data points into a cohesive format, this platform allows users to effectively identify carriers based on specific origin-destination pairs and equipment requirements, create lists of potential shippers, validate the authenticity of carriers, and track fleets effortlessly without the need for IoT device installations or Electronic Logging Device (ELD) permissions. Its capabilities surpass those of conventional databases by capturing both photographic and observational data of vehicles in transit, which aids in minimizing fraud, preventing double brokering, broadening capacity sourcing beyond typical load boards, and even plays a crucial role in recovering stolen assets or aiding law enforcement and insurance investigations. Additionally, the platform's innovative approach helps users navigate the complexities of the freight industry with heightened efficiency and confidence.

Lane Match is a software tool designed for logistics optimization that effectively pairs backhaul movements with shipments, thereby enhancing asset utilization for both carriers and private fleets. This application, which operates on Windows, allows users to assess potential matches between available transportation capacity and necessary freight movements with remarkable ease. Users of any experience level can quickly set up problems and generate solutions without hassle. By integrating with Microsoft MapPoint and the PC*MILER suite, Lane Match offers advanced features in mapping, geocoding, and path-finding. It enables users to align capacity with freight demands while also allowing for constraints to be applied during the matching process based on out-of-route distances, frequency, and the distances involved in freight lanes. Users can examine possible matches before making a final decision, and they can conduct 'what if' analyses by adjusting constraints and running various scenarios. The software also provides output options that include the ability to export all matches or just the ones that have been confirmed. With a straightforward implementation process, users can learn to effectively work with Lane Match in less than a day of training, making it an accessible tool for logistics professionals. Additionally, this efficiency in learning ensures that users can start optimizing their logistics operations almost immediately.