What AI and ML features does NexusRMS offer?

NexusRMS AI & ML includes demand forecasting using Prophet models, predictive maintenance with XGBoost, churn prediction, revenue forecasting, dynamic pricing, and smart alerts. All models are trained on your rental data for accurate predictions.

When will AI & ML analytics be available?

AI & Machine Learning analytics is currently in development and will be available as a paid addon. Join the waitlist to be notified when it launches. Pricing will be £99 per month.

Paid Addon

AI & Machine Learning

Predictive analytics powered by machine learning. Demand forecasting, predictive maintenance, churn prediction, and dynamic pricing.

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Demand forecasting

Predictive maintenance

Churn prediction

Dynamic pricing

Intelligent Predictive Analytics

Machine learning models trained on your rental data for accurate predictions

Demand Forecasting

Prophet-powered predictions for equipment demand and seasonal trends.

Predictive Maintenance

XGBoost failure probability scoring for proactive equipment care.

Churn Prediction

Identify at-risk clients before they leave with behavioural analysis.

Revenue Forecasting

ML-driven revenue projections based on pipeline and historical data.

Dynamic Pricing

Demand-based pricing with seasonal adjustments and client rules.

Seasonal Analysis

Detect patterns across seasons to optimize inventory and pricing.

Equipment ROI

Calculate true return on investment per equipment item or category.

Client Scoring

Score and segment clients by profitability, reliability, and growth.

Smart Alerts

Proactive notifications when models detect anomalies or opportunities.

ML-Powered

Demand Forecasting

Meta's Prophet model analyses your historical booking data to predict future equipment demand with seasonal trend analysis.

Meta Prophet model for time-series forecasting

Equipment demand predictions by category

Seasonal trend analysis and detection

Purchase and acquisition recommendations

Capacity planning for peak periods

Historical accuracy tracking and model tuning

Smarter Purchasing: Predict demand peaks to make informed equipment purchase and rental decisions. 

XGBoost Model

Predictive Maintenance

XGBoost-powered failure probability scoring analyses equipment age, usage patterns, and repair history to predict when maintenance is needed.

Failure Probability

XGBoost model scores each equipment item for failure risk

Maintenance Windows

Recommended service windows based on predicted wear patterns

Age & Depreciation

Factor in equipment age, usage hours, and depreciation curves

Cost Optimization

Balance repair vs replace decisions with ML-driven recommendations

Dynamic Pricing Engine

Automatically adjust pricing based on demand, seasonality, and client rules

Demand-Based Pricing

Automatically adjust rates during high-demand periods to maximise revenue.

Seasonal Adjustments

Pre-configured seasonal rules with ML-optimised multipliers.

Client-Specific Rules

Custom pricing tiers per client based on volume, loyalty, and history.

AI & ML Feature Highlights

Comprehensive machine learning capabilities for rental operations

Demand ForecastingProphet model for accurate predictions

Predictive MaintenanceXGBoost failure probability scoring

Churn PredictionIdentify at-risk clients early

Dynamic PricingML-optimised rate adjustments

Revenue ForecastingData-driven financial projections

Smart AlertsProactive anomaly detection

ML Models

95%

Prediction Accuracy

Smart

Pricing

Auto

Alerts