See How We Use AI

Industrial AI that automates the work.

MOAB embeds AI directly into equipment rental and dealership operations, guiding decisions and moving workflows forward in real time.

  • 01

    Models commoditize.
    Operational data doesn’t.

    Any company can access the same AI models. What makes AI useful is the data behind it. MOAB connects dispatch, inventory, back-office operations, and customer communications into one unified data model.

  • 02

    AI needs context.
    MOAB owns the workflow.

    Because every workflow runs inside MOAB, AI has the full picture of each order, asset, and customer. That context lets it automate real decisions and work instead of just answering questions.

Informing decisions in real customer operations.

AI-native workflows.

Capabilities help teams move faster and make better operational decisions.

Intelligent
inbound triage.

Fragmented inbound arrives.

Calls, emails, and portal submissions stack up faster than any front desk can sort — each in its own inbox, each with its own context.

AI-enabled
cash application.

Bank feed arrives, messy.

Wires, ACH, checks, lumped payments, short-pays, partials. Remittance info is incomplete. The old way: someone matches by hand, every morning.

Moab in action

Live with our customers

Ten capabilities Moab makes possible.

Voice-to-quote generation.

A spoken request becomes a priced quote.

Rep hangs up the phone to vague instructions — "rough terrain boom, four weeks, Odessa" — Moab takes the quote from there.

Historical-pattern sales prompts.

The pipeline tells reps what to work on.

Years of operational data from the ERP power actionable insights for Sales.

Automated dispatch & routing.

Fulfill jobs with the right assets, as soon as possible.

Job needs change on the fly - equipment, service, swaps - Moab will read the ask and recommend the optimal route based on current business conditions.

Dynamic pricing.

Rates that evolve with the market.

Predict, deploy, and test dynamic pricing strategies without reconfiguring the entire fleet each time.

Delivery load optimization.

Make every truck deliver the most it can on each route.

Factor in the real constraints - weight, height, jobsite needs, driver utilization - into the most optimal routes.

Predictive equipment positioning.

Fleet pre-positioned for demand.

Pre-position fleet based on demand, season, or external conditions.

Disaster-readiness orchestration.

Weather and emergencies, coordinated.

Incorporate weather and emergencies into your inventory management.

Preventative maintenance.

Service scheduled against real use.

Hours and cycles from telematics, plus workload coming up on the books, drive a per-unit service plan.

Fleet metrics for purchasing.

Buy, hold, retire, from every transaction.

Combine all of an asset's data into buy, hold, and retire decisions.

End-to-end financial reconciliation.

The close, compressed.

Streamline month end, with subledgers and data feeding into one place.