A large U.S crew hauler in the U.S who manage a large fleet of vehicles operated by a few thousand drivers, some full time, some part time who pick up crew from railway yards and deliver fresh crew to the yards was looking for a way to optimize its resources to drive operational efficiencies and cost savings, drive better event handling and resource management, meet Hours of Service requirements and provide its customers real-time visibility to trips, crew and events.
Logistrics offered its solution to the crew hauler and customized it to allow for specific rules and data inputs. The real-time optimizer provided the optimal use of resources spread across hubs and yards while helping the company adhere to Hours of Service (HOS) rules. Drivers and vehicles were scheduled using the scheduler that supported availability data of both drivers and vehicles to be input, the logical engine computed HOS compliance in real-time and the Optimizer factored all of this to determine trip allocations. Tracking information was provided in real-time. Additionally, the solution supports Fuel PIN issuance to drivers in real-time helping control fuel fraud and save money. It also supports service alerts for vehicles based on pre-determined criteria.
As a result of adopting the Logistrics solution, the crew hauler was able to automate and optimize its trip dispatch process driving significant cost reductions. It was able to provide its customers (the rail roads) accurate trip events and GPS data as well as mileage information that it was obligated to do. The crew hauler was able to effectively monitor and track HOS compliance. Additionally, the use of Fuel PINS drove down fuel fraud significantly providing cost savings and significant ROI. The Company has since rolled out the solution to its entire fleet.
This 50+ vehicle taxi operator handles a large trip volume often exceeding 30 trips per day per vehicle. Managing this volume on a daily basis meant incrementing the dispatch team. However in addition to incrementing costs, this did not help optimize allocations as these were done by multiple dispatchers resulting in sub-optimal allocations and associated costs.
The client decided to trial Logistrics Taxi Android taxi dispatch solution. Satisfied with the initial results, the client rolled out the solution to its entire fleet. Each vehicle was equipped with an Android device. Additionally the service area was broken up into geo-fenced zones. Vehicle statuses are available on screen and the system supports Caller ID call handling. A suite of reports are available for viewing and download.
The results have been tremendous. The Company has been able to handle up to 20% higher volumes without adding more dispatchers. Its unit cost per trip has dropped due to better trip allocations based on zones and zone queues. The ability to view vehicle statuses in real-time has obviated the need to call drivers frequently. The dispatchers are now able to just focus on handling exceptions and providing high quality customer service. They are able to review and invoice account customers by just clicking a button saving lots of time and effort. Even better, the company is now well poised to scale its business without adding to technology costs or additional resourcing costs.
A large soft drink bottler operating in multiple countries approached us to see if we could help them manage order fulfillment in the field in real time once vehicles are in-route. Orders come into its CRM system and fulfillment is required to happen in the field in real-time requiring route changes. All of this was being managed manually.
LogistricsThe bottler decided to pilot using the Logistrics solution. This solution involved providing Android devices to drivers which connects to the Logistrics Distribute web application. The solution would receive orders in real time from the bottlers CRM and route these to the vehicles in-route based on predetermined criteria. Information based on in field events would flow back to the CRM. The Logistrics web interface would provide real-time tracking and status information besides allowing for better customer service. Results of the pilot are being monitored with expectation of a full rollout in the near term.
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