Dynamic yield pricing for equipment leasing

Arkham · Real-Time Dynamic Pricing & Yield Management

Kryptur Research presents Arkham — a dynamic pricing and yield management engine that applies airline- and hotel-style revenue management to equipment rentals. Reinforcement learning, stochastic dynamic programming, and spot auctions clear laser cleaning fleets in real time.

10.5281/zenodo.21873050 Raja Ram Arkham 1.0

Fleet revenue lift

+29.6%

Projected annual revenue · 50-machine fleet

Utilisation

+16 pp

62% static → 78% with Arkham

Rev / machine-hour

+15.1%

$18.50 → $21.30 average

Booking satisfaction

+17 pp

74% → 91% quote-to-rental completion

Recent news

Dynamic Yield Pricing: Real-Time Pricing and Yield Management for Laser Cleaning Equipment Leasing

Research Paper

Raja Ram M · Main Author · Kryptur OU / Krypur Quantum R&D

August 2026

Fixed rental rates leave revenue and utilisation on the table. Arkham continuously processes demand and supply signals to adjust prices — combining RL agents for elasticity, SDP for long-term leases, and real-time auctions for spot rentals. Projected results for a 50-machine laser cleaning fleet show a 29.6% annual revenue increase and a 16-percentage-point utilisation gain without additional capital investment.

Yield ManagementReinforcement LearningEquipment Leasing

Program architecture — RL, SDP, and spot auction clearing

Figure 1

Quote → pricing engines → market-clearing price → audit path

ArchitectureFastAPI

Operator surfaces — customer, partners, API docs

Dashboard

Quote → reserve → confirm → track → complete/release

ArkhamNext.js

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Results & figures

Table 1. Projected fleet performance — Arkham vs static pricing

Metric	Static	Arkham	Improvement
Average utilisation	62%	78%	+16 pp
Avg. revenue per machine-hour	$18.50	$21.30	+15.1%
Total annual fleet revenue	$1,620,000	$2,100,000	+29.6%
Booking satisfaction rate	74%	91%	+17 pp

Table 2. Core Arkham REST API endpoints

Method	Path	Purpose
GET	/fleet/machines	Catalogue and status
GET	/fleet/summary	Availability and utilisation
POST	/pricing/quote	Signed time-limited quote (~90s TTL)
POST	/booking/confirm	Confirm → in_use
GET	/booking/{id}/track	Live tracking
POST	/booking/{id}/complete	Release machines (end service)