Celerum’s software is created from AI algorithms based on Nature Inspired Computing (NIC). This takes lessons from then natural world where evolution has overcome inefficiency: examples include understanding how insects choose the most efficient routes for collecting food and returning to nests. These algorithms mean our systems can make real-time, data-driven decisions to optimise logistics planning and logistics. They allow you to maximise resources, cut costs and reduce carbon emissions.
Transport Logistics System
Our Transport Logistics System (TLS) is for any company operating fleets of trucks, trailers and/or light goods vehicles including vans. It provides intelligent planning and allocation, allowing you to reallocate resources in real time when demands change or problems arise.
Our dynamic AI is able to respond quickly to unforeseen events, such as vehicle breakdowns, traffic delays, and driver sickness. It can also be used to support planning to cover vehicle maintenance and holidays. Operators are able to assess, quickly and easily, how best to allocate resources in response to such disruption.
TLS is a cloud-based web application. You can run it on any computer and browser. Drivers only need a smartphone to interact with the system in real-time. This low barrier to entry means TLS can be implemented quickly and operators need no technical knowledge to use the system.
Features of the system include:
- Resource management
- Jobs management
- Jobs planning
- Real-time optimised recommendations
- Driver tracking and interaction
- Invoicing interface with accounts systems
- What-if scenarios
TLS allows real-time data feeds from multiple sources, including traffic information. Once jobs are loaded into the system, your operators can modify them instantly as job priorities, requirements and road conditions change. Drivers can update their availability and job status, via their smartphones.
We will fully support you with the initial set up of the system. It can be configured to meet your precise requirements. The first step is to input resources and any constraints that might apply and then the jobs to perform. The AI then constantly reviews all the data to provide real-time recommendations on how resources can best be used. Your operators can then easily choose whether or not to accept the system’s suggestions.
Challenges the system overcomes:
Celerum’s technology delivers real world benefits:
re-allocates resources as problems occur
