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:

Operational stress: Controllers carry significant amounts of information in their heads. High intensity operations can lead to weak decisions.
Rapidly changing environment: Capacity planning is difficult making it hard to predict future needs.
Fragile supply chains: Covid situation has exposed weaknesses and volatility.

Celerum’s technology delivers real world benefits:

Intelligent optimisations through NIC AI algorithms.
Low barrier to entry: No special hardware required.
Environmental benefits: fewer vehicles, less fuel, less pollution.
Real-time allocation of resources:
re-allocates resources as problems occur
Highly extensible and configured to your needs, is sophisticated and easy-to-use
Can be adapted to multiple logistical problems by interfacing with external data sets.