OptimaiteLogistics Optimization, At Scale

Optimaite brings new machine learning methods for logistics optimization at-scale, providing rapid re-optimization at the edge for a range of assets (e.g. transport aircraft, trucks, drones) and elements (e.g. liquid fuels, personnel, spares).

Maturity

Technical maturity (TRL-4) established via benchmarks associated with "Airlift Demonstrator" and "Truck Fleet Optimization Demonstrator".

Integration & Support

Can either operate as a stand-alone software package or via integration to existing network.

Support provided at Tier 0 (self-service), Tier 1 (helpdesk), Tier 2 (technical support), and Tier 3 (subject-matter expert support) levels.

Price Approach

At-cost trial for 30–90 days on relevant asset to deliver a value projection report.

Per-asset system acquisition fee, plus ongoing training, support, and upgrades package.

Competitive Advantage

The Deep Reinforcement Learning solver will solve large-scale combinatorial instances beyond what's feasible with traditional solvers, without requiring large-scale compute resources.

Any small change in input constraints can be completely re-solved in a matter of seconds, enabling rapid scenario iteration.

The solution is deployable to edge compute without a reliable communications link.

The Deep Reinforcement Learning solver will solve large-scale combinatorial instances beyond what's feasible with traditional solvers, without requiring large-scale compute resources.

Any small change in input constrains can be completely re-solved in a matter of seconds, enabling rapid scenario iteration.

The solution is deployable to edge compute without a reliable communications link.

Data Sheet

Information	Units/Form	Fidelity	Integration Required
Use profile	Form text	Parameters or scenarios as a percentage of time and overall use.	File import or database integration.
SOPs	Free text	Use, maintenance, intervals, measurements.	File import or database integration.
Flagged / Identified issues / faults	Free text/form text	Digitized (ideal) or hand-written (acceptable).	File import or database integration.

Data Inputs

Essential

Desirable

Helpful to increase accuracy

Routing Performance Benchmarks

The Priori Difference

Reduced number of assets required to achieve a logistics outcome.

Reduced operational inputs (e.g. cost, fuel) required to achieve a logistics outcome.

Reduced human capital required to make low-level tasking allocation decisions.

Reduced number of assets required to achieve a logistics outcome.

Reduced operational inputs (e.g. cost, fuel) required to achieve a logistics outcome.

Reduced human capital required to make low-level tasking allocation decisions.

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