Know whathappens next.Decide with evidence.
Forecasts, risk scores and decision support built on your operational data, so planners, dispatchers and executives act before the problem, not after.
Why predictive analytics matters now
Demand, assets and crowds are growing faster than teams can plan by hand. Forecasting and decision intelligence turn history into a plan for the next hour, day and season.
Planning by spreadsheet
Most forecasts are manual, late and disconnected from live data.
Decisions under pressure
Dispatchers and controllers need options, not raw dashboards.
Data is available
Historians, ticketing, telematics and ERP hold the signals.
Governed models
Explainable, auditable forecasts for regulated decisions.
The answer: forecasts and decision support on your own data, operated as a service, improving every month.
Sources: MIM National Industrial Strategy; Future Factories Program; GACA 2025; Saudi Aviation Strategy; Matarat Holding; GASTAT, RCMC and Ministry of Hajj & Umrah, Hajj 1446; SDAIA 2026
Predictive analytics, from history to the next decision
We build forecasting and risk models on your data, then wrap them in decision tools that show options, trade-offs and confidence.
Forecasting
Demand, load, flow, failures and revenue by hour, site and season.
Risk scoring
Assets, routes, shipments and events scored for likelihood and impact.
Decision support
Scenarios, recommendations and what-if tools for planners and controllers.
Building blocks of a decision-intelligence programme
Six components, the data layer and model library serve every forecast.
Time-series data layer
Clean, aligned histories from OT, IT and external signals.
Forecast models
Statistical and ML forecasting with seasonality and events.
Risk & survival models
Failure, delay and excursion likelihoods per asset or trip.
Decision engine
Rules, optimisation and scenarios turning forecasts into options.
Planner interfaces
Dashboards and what-if tools in Arabic and English.
Model monitoring
Accuracy, drift and bias tracked and reported monthly.
How it works: from signals to a recommended plan
A six-stage loop that improves as outcomes are recorded.
Gather
History, live data, events
Align
Time, site and asset context
Forecast
Demand, risk, failures
Optimise
Options within constraints
Recommend
Plan with confidence shown
Learn
Outcomes feed the next cycle
Where prediction earns its keep
Eight use cases where knowing early changes the outcome.
Failure prediction
Remaining useful life and failure risk for pumps, drives and vehicles.
Load & energy forecasting
Hourly load, peak risk and consumption per line or feeder.
Crowd & passenger forecasting
Arrivals, density and queues by gate, hour and event.
ETA & delay prediction
Trip times and late-delivery risk from live telematics.
Cold-chain excursion risk
Which shipments and coolers are likely to break temperature.
Water demand & leak risk
Zone demand and burst likelihood from meters and pressure.
Demand & replenishment
Stock-outs and expiry risk per store and cooler.
Revenue forecasting
Parking, retail and service revenue by scenario.
Where it creates value across Saudi sectors
Every operation plans; prediction makes the plan better each cycle.
Industry & factories
Failure, energy and quality forecasts per line.
Airports
Passenger flow, parking demand and non-aero revenue.
Hajj & crowd mobility
Crowd, bus and incident forecasts by hour and site.
Fleet & logistics
ETAs, fuel, driver risk and shipment delays.
Utilities & energy
Load, leak, outage and asset-life forecasts.
Retail & FMCG
Demand, expiry and replenishment per store.
Start with one forecast planners already make by hand, then automate and improve it.
A season with decision intelligence
Illustrative sequence from a transport operator preparing for a peak.
forecast
Passenger and vehicle demand forecast by day and hour, with confidence bands.
scenarios
Planners test fleet, staffing and gate options; the engine shows cost and risk.
live re-forecast
Live counts update the forecast every 15 minutes; recommendations adjust.
review
Forecast accuracy and decisions are reviewed; the next cycle starts better.
Forecasts show confidence and alternatives, planners stay in charge.
Illustrative scenario, not a case study.
Where this technology goes to work
Let us forecast thedecision you make by hand.Know now.
A 45-minute walkthrough of your operation, and the one workflow worth proving first.