See How We Use AI

Industrial AI That Automates the Work.

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

  • 01

    Models commoditize.
    Operational data doesn’t.

    MOAB connects dispatch, inventory, back-office operations, and customer communications into one unified data model, giving AI the context to automate real decisions and workflows.

  • 02

    AI needs context.
    MOAB owns the workflow.

    MOAB unifies the operational data behind dispatch, inventory, back-office work, and customer communications, giving AI the context to automate real work.

Already live inside real customer operations.

AI Inside Workflows.

Two capabilities are live inside MOAB, helping 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 2027

On the horizon.

Ten capabilities Moab makes possible. The data model already supports them; what remains is forward-deployed productization, not invention.

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.

Dynamic pricing.

Rates that evolve with the market.

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

Automated dispatch & routing.

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

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

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.