LOGISTICS
Planning that adapts to reality.
In logistics, reality is always different from the plan. Delays, peaks, disruptions. The best planners adapt continuously. But that knowledge is scarce. BrainStax makes that flexibility scalable with data and AI.
Common challenges
Where logistics goes wrong
Planning based on gut feeling
Your best planner knows from experience what the right sequence is. But that knowledge isn't documented anywhere. During illness, peak times, or departure, it becomes improvisation. And the new planner starts from zero.
Inventory that doesn't add up
Too much of one thing, too little of another. Inventory optimisation happens after the fact, not before. That costs space, capital, and rush deliveries.
No visibility into what's actually happening
Data is scattered across the WMS, TMS, Excel, and people's heads. By the time you have the full picture, the situation has already changed. You're steering on outdated information.
How we solve it
From reactive to predictive
Smarter planning
AI agents that optimise based on all available data. Historical patterns, current situation, predicted demand. The experience of your best planner, available to the entire team.
Inventory optimisation
Predictive models that anticipate seasonal patterns, customer behaviour, and supplier reliability. Less capital tied up in inventory, fewer shortages, fewer rush deliveries.
An operational dashboard that actually works
Not a dashboard that reports, but a system that warns and advises. Based on real-time data from all your systems. So you steer on reality, not on yesterday.
Concrete example
Fewer rush shipments, lower inventory costs
At a mid-sized distributor, we connected data from the WMS, TMS and sales system. On top of that: an AI agent that advises on inventory levels and route planning based on historical patterns and the current situation.
The result: fewer rush shipments, lower inventory costs, and a planning process that scales without additional people. The investment was recouped within ten months. And most importantly: the team trusts the recommendations because they helped build them.
Learn more about the Hypereffective Method or how we guarantee results.
We also work in manufacturing, healthcare and the public sector.
Trusted by organizations like
Planning that thinks ahead. Starting tomorrow.
In a no-obligation conversation, we explore where data and AI can make your logistics faster and more reliable.