Why we do this
AI should relieve teams, not overwhelm them.
We do not like AI theatre. What matters to us is whether a team spends less time on manual work, finds answers faster, and can move forward with a clear next step.
About
Two founders. Clear delivery.
We help teams in logistics, supply chain, and operations frame AI properly and make it genuinely usable in daily work.
- GDPR-aware
- close to the mid-market
- on-site & remote
How we work
Calm, concrete, and close to reality.
We first sort honestly where AI really helps. Then we prioritise. And only when the case holds do we build the first working solution together.
What we believe
Good delivery beats loud consulting.
For us, trust does not come from big promises. It comes from clear language, clean introduction, durable outcomes, and honest limits.
The founders
Why Fluxward is credible for operational teams
We understand not only tools and technology, but also pressure, coordination, and friction inside real operating environments.
Co-Founder | AI, implementation, product logic
David Rofall
David built SCMFlux — not as a product promise, but as running software. Previously: studied supply chain management, worked in operational companies. He translates abstract AI technology into hard, operationally useful tools. His focus: Does the process run reliably and save money today?
- Master in Supply Chain Management
- builder-focused on AI, automation, and pragmatic product delivery
- works on operational workflows, product logic, and realistic rollout paths
Co-Founder | sales, rollout, collaboration
Frederic Baltes
Frederic knows the coordination reality in logistics-adjacent companies. Logistics degree, operational experience, and the ability to translate between management and team level. His test: Does the shift supervisor understand why something is changing?
- logistics studies with a clear sector focus
- focused on client collaboration, rollout, and practical execution
- strong in stakeholder communication, rollout logic, and concrete next steps
Our values
How we want to work
Straight talk, no buzzwords
We explain AI in a way decision-makers and teams can actually follow. No theatre, no artificial complexity.
Small sensible steps
We start pragmatically, prove measurable ROI, and only then scale the solution. With clear scope boundaries and controllable next steps for your business.
Partnership at eye level
We do not want to impress. We want to help. Transparently, honestly, and close to your operational reality.
Next step
If you first want to understand whether and where AI makes sense for you.
Then we start with an orientation call. Short, honest, and without consulting theatre.