Train dispatchers, before real orders become expensive.
DisPulse combines structured onboarding with a realistic AI Dispo World. Dispatchers work through operational cases, communicate with AI customers and AI carriers, and receive direct, case-specific feedback. Progress becomes transparent and confidence grows before real orders are at risk.
Academy
Onboard new team members systematically
World
Train real cases without customer risk
Radar
Make onboarding progress visible
Learning by burning money
The most expensive training happens on live orders.
Many dispatchers learn pricing logic, capacity pressure and customer communication inside daily operations. That is exactly where weak commitments, dropped waiting time or poor escalation cost margin and trust.
01
Mistakes are paid for with real margin
New dispatchers often learn through trial and error. The company pays the tuition: lost margin, cancellations, unjustified concessions and damaged customer relationships.
02
Communication is rarely trained
Dispatchers must lead customers, hold carriers and escalate internally. That instinct does not come from PDFs.
03
Leadership sees patterns too late
HR, leadership and operations need a transparent onboarding view: which learning steps are complete, where coaching still helps and which company standards are already applied safely.
Demo case: waiting time
A customer rejects waiting time. Now dispatching instinct matters.
This is where DisPulse differs from normal training: the learner must secure facts, lead the carrier, argue cleanly with the customer and apply company DNA.
World case STG-017
Demo case: waiting time
10:00
Slot confirmed
The truck is on time at the plant. Loading does not start and the driver waits.
13:20
Carrier pushes back
Novak Trans requests waiting time. The driver has been tied up for more than three hours.
13:31
Customer refuses
Purchasing writes: "We will not pay waiting time. That is your problem."
Release waitlist
Train the waiting-time case at release
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Karlo Compass · AI training coach
Feedback that nobody can provide after every email in daily operations.
Karlo Compass is the AI coach inside DisPulse. It understands the specific case context, reviews responses and decisions, and explains immediately what was operationally safe, where risk appeared and how the next step can improve. It supports the training – it does not evaluate employees.
“You were polite, but you did not name a concrete next action.”
“You implied cost acceptance even though the cause has not been clarified.”
“You reassured the customer, but did not separate ETA, status and responsibility clearly.”
How DisPulse trains
From operational basics to real decision confidence.
DisPulse combines FTL fundamentals, micro-decisions and a persistent Dispo World. Customers, carriers and market pressure react to learner behavior.
Basics become micro-decisions
Short operational choices train trailer logic, loading meters, weight, temperature, waiting time, ETA and pricing without long classroom blocks.
World cases have memory
Customers remember, carriers react with their own character and market phases change pressure. Every reply builds relationship or risk.
Radar shows onboarding progress
Managers and HR see learning progress and recurring coaching needs across multiple training situations without manually reviewing every case.
AI Dispo World
The system does not only train knowledge. It trains instinct.
Good dispatching happens under incomplete information: protect margin, hold customers, lead carriers, document cleanly and act according to company DNA.
Enforce waiting time with proof without losing the customer unnecessarily
Communicate ETA realistically before false certainty appears
Qualify customer enquiries, defend pricing and follow up offers professionally
Select, negotiate with and lead carriers reliably
In future, train and review AI actor voice calls as the next communication layer
Train freight exchange, order capture and contract-condition checks
For the entire organization
One training world, three clear views.
Learners train realistic decisions. Operations supports learning progress. HR and leadership see how far onboarding has progressed and which company standards are already applied safely.
For dispatchers
Short units, clear feedback, XP and World cases. Training feels like work, not like a generic learning portal.
For operations
Team leads see which operational topics are already secure and where targeted coaching still helps.
For HR and leadership
Onboarding progress, completed learning steps and the application of company standards become transparent without personality scores or automated employment decisions.
Responsible intelligence
Development becomes visible. Responsibility stays human.
DisPulse makes learning progress and observable decisions understandable without reducing people to a single score or a black-box judgment.
Observable decisions
Cases make communication, decisions and outcomes visible without inferring personality traits.
Progress with context
Operations and HR follow onboarding progress across multiple training situations, not isolated mistakes.
Human accountability
DisPulse supports learning and coaching. It does not make automated employment decisions.
FAQ
The key questions before getting started.
Clear answers on use cases, product boundaries, voice, company DNA and responsible evaluation.
What is DisPulse and which problem does it solve?
DisPulse is an AI simulator and training system for FTL dispatchers. It combines a structured Academy with a living operations world, allowing dispatchers to practice decisions, communication and customer handling before mistakes on live loads cost margin or relationships.
Is DisPulse only for new dispatchers?
No. New dispatchers and career changers receive a structured foundation. Experienced dispatchers can focus on commercial skills, customer handling, negotiation, escalation, claims and complex operational situations.
Which FTL situations and workflows can be trained?
Training ranges from FTL fundamentals and micro-decisions to waiting time, ETA, price pressure, customer complaints, carrier negotiation and operational sales. Workflows such as freight exchange, order capture, required fields, extra costs and conditions are practiced inside real case context.
How is the AI Dispo World different from a normal AI chatbot?
Customers and carriers are persistent actors with a company, role, character, relationship and memory. Previous decisions affect trust, patience and future reactions while cases, market conditions and communication channels remain part of the same training world.
Can DisPulse train calls with AI customers and AI carriers?
DisPulse is designed for written communication and realtime voice within the same World case. Voice is the next product layer: AI actors handle objections live and calls are evaluated by reasoning, conversation structure, outcome and company standards. Until general release, this capability is clearly marked as Voice Preview.
Does DisPulse replace an LMS or TMS?
No. An LMS delivers content and a TMS processes live transports. DisPulse trains the people between them: build knowledge, act in a risk-free operations world, experience consequences and retrain open patterns.
How is DisPulse adapted to our company DNA?
The company defines its operational standards for margin, service, risk, transparency, commitments, escalation and communication. These standards shape cases, feedback and evaluation so teams train according to their own operating logic.
What do operations, HR and management see?
DisPulse shows onboarding progress, completed learning steps and recurring coaching needs across multiple training situations. It does not create personality profiles or make automated employment decisions; interpretation and coaching remain with the company.
How can a freight company get started with DisPulse?
The company creates an account, defines its first learner group and relevant standards, then starts with the appropriate Academy and World content. The waiting-time demo case shows how learning, operational decisions and evaluation connect before rollout.