Mike Swain presents Arkham — airline-style yield management for equipment leasing. Reinforcement learning learns demand elasticity, stochastic dynamic programming prices long-term leases, and a real-time auction clears spot rentals for laser-cleaning fleets.
Fixed rental rates leave willingness-to-pay uncaptured at peaks and idle machine-hours wasted in troughs. Arkham continuously clears supply and demand with RL elasticity agents, SDP for long-term leases, and a spot auction for opportunistic rentals — projecting +29.6% annual revenue and +16 pp utilisation without additional CapEx on a 50-unit LME Laser fleet.
| Metric | Static | Arkham | Δ |
|---|---|---|---|
| Average utilisation | 62% | 78% | +16 pp |
| Avg. revenue / machine-hour | $18.50 | $21.30 | +15.1% |
| Total annual fleet revenue | $1.62M | $2.10M | +29.6% |
| Booking satisfaction rate | 74% | 91% | +17 pp |
| Engine | Horizon | Role |
|---|---|---|
| Reinforcement learning | Continuous | Learn demand elasticity by vertical |
| Stochastic DP | Long-term lease | Risk-adjusted forward contract pricing |
| Spot auction | Real-time | Clear opportunistic hourly rentals |
| REST + dashboards | Ops | Quote, fleet, booking, FX, audit path |
Mike Swain · Æ Hive · doi:10.5281/zenodo.21873050 · Arkham Yield Management · Borel Sigma Inc. venture
Dynamic Yield Pricing report — RL elasticity, SDP contracts, spot auctions, and LME laser fleet case study.
View project →Live partner console — offerings, sales, on-call jobs, customers, and fleet inventory via /api/dynprix.
View project →Open-source pricing engine, fleet API, booking flows, and Arkham operator UI for equipment yield management.
View project →Live customer estimator, partners console, and Pricing API — quote → reserve → track → release.
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