Pricing Workbench
Review pricing recommendations by facility, unit type, size, occupancy, competitor position, confidence, and risk.
Competitor Intelligence
Compare facility rates against local market competitors using unit-specific rate observations and market-position insights.
What A.R.M.S. Does
A.R.M.S. centralizes decision-making across revenue management, pricing, existing renter rate reviews, competitor intelligence, forecasting, approval workflows, and reporting.
GOOD / BETTER / BEST Package Pricing
Support customer-facing package pricing structures where operators can configure pricing ladders aligned to their strategy.
Executive Dashboard
View portfolio performance, revenue trends, occupancy, net rentals, approvals, alerts, and revenue opportunity.
Existing Renter Rate Management
Identify existing renter rate opportunities, review risk, manage approvals, and measure outcomes.
Reporting and Auditability
Track rate changes, approvals, outcomes, user activity, and performance over time.
Icons and data shown are illustrative only.
What Makes A.R.M.S. Different
Built for rate optimization by self-storage experts
A.R.M.S. is designed to help operators understand why a pricing decision is being recommended, what data supports it, and how it performs after implementation.
- Connects pricing recommendations to competitor intelligence, facility performance, and approval workflows.
- Supports configurable GOOD / BETTER / BEST package pricing.
- Provides visibility into pricing confidence, risk, and expected impact.
- Tracks outcomes after recommendations are approved or implemented.
- Gives leaders a portfolio-level view while allowing facility-level detail.
- Supports demo, import, and integration-ready workflows.
- Built with governance, permissions, and audit visibility in mind.
Data Inputs
A.R.M.S. Engine AI Pricing Intelligence
Human Review / Approval
Export or Implementation
Outcome Measurement
Platform Modules
A.R.M.S. organizes revenue intelligence into focused, operator-ready modules.
Executive Dashboard
Monitor portfolio performance, revenue trends, and key KPIs in one view.
Strategy Comparison
Compare pricing and revenue strategies side by side to understand tradeoffs.
Existing Renter Rate Management
Evaluate existing renter rate opportunities with risk and impact context.
Market Intelligence Map
Visualize facility and competitor performance across your markets.
Model Performance
Review how pricing models perform against actual results.
Data Management
Manage the core data powering pricing, demand, and performance views.
Approval Center
Centralize review, approval, and status tracking for pricing decisions.
Pricing Workbench
Review, filter, and prioritize pricing recommendations across facilities and unit types.
Rate Decision Simulator
Test how potential rate changes could impact occupancy, revenue, and positioning.
Competitor Intelligence
See how your rates compare to local competitors by unit type, size, and access.
Recommendation Outcomes
Track how accepted recommendations perform over time.
Reports
Export-ready views for leadership, investors, and operating teams.
Data Integration Hub
Support import and integration-ready workflows based on client systems.
Alerts
Surface key changes, risks, and opportunities that need attention.
GOOD / BETTER / BEST Pricing
Customer-Facing Package Pricing Built Into the Rate Strategy
A.R.M.S. can support GOOD / BETTER / BEST customer-facing package pricing. Operators can align package gaps to their strategy and evaluate how package pricing compares to current rates, competitor rates, and facility demand signals. Calculation methods are not exposed; the focus is on clear, client-facing decision support.
- GOOD acts as the base customer-facing package.
- BETTER adds value above GOOD.
- BEST represents a premium customer-facing option.
- Operators can review, approve, and export package sets.
- Package pricing can be tied to strategy, market conditions, and operator-defined guardrails.
Competitor and Market Intelligence
See the Market Before You Move the Rate
A.R.M.S. helps operators compare their rates against local competitor rate observations, promotions, and market positioning by unit type, size, and access type. The goal is to give teams a clear, explainable view of the market before they move a rate.
- Competitor rate comparisons.
- Market position indicators.
- Promotion visibility.
- Freshness and data quality indicators.
- Facility and market-level comparison views.
- Support for approved data sources, imports, and integration-ready workflows.
Competitor data can be loaded through approved imports, configured sources, or authorized collection workflows depending on client setup.
GOOD
$129/mo
Example rates shown for illustration only.
BETTER
$139/mo
BEST
$149/mo
Governance, Approval, and Trust
Designed for Human Review, Governance, and Accountability
Designed for multi-site precision, A.R.M.S. is not just a recommendation engine; it gives teams a structured way to review, approve, reject, modify, export, and measure pricing decisions.
- Role-based access
- Approval workflows
- Audit trails
- Recommendation status tracking
- Confidence and risk indicators
- Outcome measurement
- Export-ready records
Engine Calculated
AI Advised
Human Reviewed
Approved
Exported
Outcome Measured
Who A.R.M.S. Is For
Essential for operators needing centralized visibility across multiple facilities, rate types, competitors, and reporting workflows.
Self-storage owners
Operations leaders
Multi-site operators
Asset managers
Revenue management teams
Technology and advisory partners
Partner-Friendly Enablement
A Platform Partners Can Confidently Introduce
A.R.M.S. gives partners a practical way to introduce clients to modern revenue intelligence without replacing entire legacy systems. The platform supports structured workflows and integration-ready processes built for diverse client environments.
Partner Introduction
Client Demo
Data Review
Pricing Workflow
Reporting and Outcomes
Ready to See A.R.M.S. in Action?
Schedule a walkthrough to see how A.R.M.S. can help your team connect pricing strategy, market intelligence, approvals, and measurable revenue outcomes.
A.R.M.S. uses synthetic example data in demonstrations. Client-specific results depend on data availability, operating strategy, configuration, and implementation scope.