AI and automation for logistics
Logistics processes combine incomplete data, constraints, and time-sensitive decisions. We integrate rules, optimization, and AI models to produce reviewable plans, record exceptions, and reduce manual work.
What is included
- Constraint and decision model.
- Operational data integration.
- Review and exception workflow.
- Controlled comparison with the baseline.
How implementation works
- 1
Process diagnostic, baseline, and prioritization.
- 2
Target workflow, human controls, architecture, and metric design.
- 3
Controlled pilot with users, logs, and acceptance criteria.
- 4
Monitored production, knowledge transfer, and continuous improvement.
Evidence we can publish
We do not publish client names, figures, or testimonials without authorization. Available evidence describes the scope, evaluation window, and operational metric used.
Automated pallet planning for a pharmaceutical laboratory
A pharmaceutical laboratory needed to reduce the manual work required to build pallet plans. The solution combined operational data, dispatch constraints, volume, priorities, and business rules to produce a reviewable plan before execution.
Read the full case- Scope
- Pallet planning using dispatch, volume, priority, and operational constraints.
- Window
- Cycle-by-cycle comparison between baseline and controlled pilot.
- Metric
- Planning time per cycle and manual adjustments required before dispatch.
- Figures
- Baseline and numerical results are not authorized for publication.
References and testimonials
Client references are coordinated during the commercial process when authorization exists. Until a public quote can be verified, we prefer not to attribute anonymous testimonials.
Frequently asked questions
Is every problem solved with an LLM?
No. Many problems require optimization, rules, or predictive models; an LLM may be only one part of the interface.
How is the plan validated?
It is compared with the baseline, tested on edge cases, and kept under human approval where appropriate.
Let’s discuss the right process.
The initial diagnostic helps decide whether to implement, rescue, or stop the use case.
Schedule a diagnostic