Every inspection, incident, and repair on one evidence trail — AI-screened.
- Company
- Aslan Kurierdienste GmbH
- Where
- Germany · Amazon DSP / last-mile
- Fleet
- 36 vans · 41 drivers · 3 dispatchers
- Plan
- Enterprise — all modules on
- Live since
- Late April 2026 (~6 weeks at full scale)
On 10–20% margins, undocumented damage is the cost you can't see.
Amazon DSPs run thin, typically 10–20% net, and non-warranty repairs and excess wear are the operator's bill — paid out of pocket, charged back when the van is returned. Industry analysis of last-mile fleets puts the average van at around eight separate damage points at any time, against a roughly 20% annual accident rate per vehicle. When damage isn't captured the moment it appears, a DSP pays three ways: leakage it can't pin to a shift, unplanned downtime at €410–€700 per van per day, and disputes lost to whoever holds the evidence. The job Aslan hired Fleet to do: capture defensible condition evidence on every shift, and triage it without burying a three-person back office.
Pilot to full yard in two weeks.
| Week of | Shifts | Drivers active | Vans used |
|---|---|---|---|
| Mar 16 (pilot) | 3 | 1 | 3 |
| Apr 27 (rollout) | 47 | 26 | 23 |
| May 4 | 133 | 30 | 31 |
| May 11 | 104 | 28 | 25 |
| May 18 | 120 | 31 | 29 |
| May 25 | 114 | 33 | 29 |
| Jun 1 | 98 | 28 | 32 |
Evidence discipline became automatic
Drivers captured a pre-shift inspection on 99.5% of shifts, the full six-angle set on 97.4% of them — 3,667 time-stamped photos in six weeks. Every van now carries a continuous shift-over-shift before/after record. Damage has a provable origin window instead of a shrug.
AI carried the triage load
When AI photo review switched on in mid-May, it compared each inspection against the van's previous shift: it auto-cleared 175 clean shifts (~64% of what it analyzed) so dispatchers never opened them, surfaced 74 localized damage findings with 73 flagged as new, and processed ~4,960 images in total. That's what makes a three-dispatcher back office viable at ~20 inspections a day.
Incidents and repairs on one trail
Aslan documented 8 incidents and 8 repair jobs — about €8,100 in repairs against 9 vendors, including a €7,080 collision — every case photographed and claim-ready instead of a month-end scramble. Eight logged incidents on 36 vans in six weeks tracks almost exactly with the industry's ~20% annual accident rate: the system is catching essentially all of them.
in addressable damage exposure per year — recoverable, charged back, or caught early on a fleet this size.
That's Aslan's real activity costed at published industry benchmarks: roughly €16,500–€28,900 a year for a DSP this size. A mid- to high-single-digit return on an Enterprise subscription. These euros are an illustrative estimate, not money Aslan has booked.
How we modeled this (assumptions & sources)
Benchmarks: ClearQuote (fleet damage), Automotive Fleet (~20% accident rate), Michelin & Penske (downtime cost), Route Consultant & Tullis (DSP margins), Amazon DSP Fleet Program. Full citations on file.
Damage you can prove is damage you can recover or refuse to pay for. Damage you can't prove, you eat.
What Aslan isn't doing yet
Today Aslan uses Fleet as a condition-evidence and incident system of record. The step that turns this evidence into booked euros — formal insurance-claim records, claim-pack submission, at-fault liability, and recovered-amount tracking — isn't being captured in-app yet. With six weeks of airtight evidence already stacking up, that's the natural next phase, and where the modeled numbers above become real ones in the next revision of this story.
“Fleet replaced our WhatsApp groups, our spreadsheet, and three different paper forms with one workflow the drivers actually use. The photos are the evidence — there is no more arguing about damage.”
Run your DSP like Aslan does.
Photo-based shift starts. AI-triaged inspections. Incidents and repairs on one evidence trail.