CASE FILE 003 · FLEET INTELLIGENCE
Turning technical capability into commercial evidence.
When the product works, but the company still does not know which proposition deserves further investment.
Ongoing engagement
UPDATED JULY 2026
Commercial Validation
PROPOSITIONS · ASSUMPTIONS · EVIDENCE
Evidence created
NOT FINAL COMMERCIAL OUTCOMES
THE SITUATION
The technology worked. The commercial choice remained unclear.
The company had a broad set of telemetry checks and anomaly-detection capabilities across safety, maintenance, efficiency and route behaviour.
The underlying belief was that a growing feature portfolio would naturally create traction. Outreach, demos and partner conversations created activity, but not enough decision-quality evidence about which buyer problem and proposition deserved further investment.
The decision: which proposition should the company back—and which should be narrowed, repositioned or stopped?
WHAT CHANGED
The proposition—not the feature—became the unit of commercial learning.
- Capabilities were turned into explicit commercial propositions.
- Buyer, urgency, ownership, willingness to pay and technical feasibility became visible assumptions.
- Outreach, demos, pilots and partner conversations were judged by what they changed in confidence.
- Weak propositions could be deprioritised instead of continuing by default.
- Further product investment became easier to connect to commercial evidence.
FRAME → EVIDENCE → COMMIT
Activity had to become evidence.
Frame
Define each proposition through a customer, problem, buying situation, reason to act and the assumptions that must hold.
Evidence
Use buyer conversations, targeted outreach, demos, pilots and partner signals to test the assumptions rather than count activity.
Commit
Prioritise, narrow, reposition or stop propositions and connect the next product investment to the evidence.
EVIDENCE CREATED SO FAR
A commercial decision system—not a claimed market outcome.
Commercial structure
- Proposition portfolio
- Assumption register
- Evidence map
Market learning
- Targeted fleet contacts
- Customer conversations
- Pilot and partner signals
Decision system
- Evidence-led prioritisation
- Clearer investment logic
- Repeatable commercial review
WHAT REMAINS UNCERTAIN
The ending remains open by design.
The work has not yet established final conversion, pricing, willingness to pay or repeatable acquisition. Those are the outcomes the evidence system is designed to test rather than assume.
Evidence beats features.
When customer activity is not producing clearer investment choices, send me the decision you’re trying to make.
Jörn Green 