Schedule Smarter. Drive Less. Fix More with AI Field Ops
Mars Innovation Technology builds AI-powered dispatch and route optimisation, mobile field service apps, and predictive work order scheduling for utilities, telecoms and facility service teams — reducing truck rolls by 20–35%.
AI dispatch and route optimisation reduces truck rolls by 20–35% and improves SLA adherence.
Offline-first mobile app keeps field technicians productive even without cellular coverage.
Predictive scheduling uses asset failure probability to prioritise pre-emptive work orders.
Integrates with Salesforce FSL, SAP FSM, ServiceNow, and most work order management systems.
Inefficient Dispatching and Manual Scheduling Are Burning Fuel and Missing SLAs
Field service organisations lose 20–35% of productive technician time to inefficient routing, unnecessary truck rolls for preventable failures, and manual dispatch decisions made without complete information. A technician sent to a job without the right parts, skills or tools turns one work order into two — and misses the SLA on both.
Most field service management platforms have basic scheduling, but they do not use AI to optimise across skill matching, travel time, parts availability, technician fatigue, and predictive asset failure. The result is a dispatch board managed by instinct rather than intelligence.
Dispatch decisions based on geography only — skill matching and parts availability ignored.
First-time-fix rate below 75% because technicians arrive without the right parts.
SLA breaches from poor priority queue management across hundreds of open work orders.
No mobile app — technicians use paper or generic apps that don't connect to back-office systems.
Reactive maintenance only — no pre-emptive scheduling based on asset condition.
Everything Included in This Launchpad
A production-ready, fixed-price engagement — from architecture to deployment to support.
AI Dispatch & Route Optimisation
ML-based scheduling that optimises across skill, parts, SLA priority, travel time and technician availability — reducing total kilometres driven per day.
Offline-First Mobile App
React Native mobile app for iOS and Android that works offline in low-connectivity environments and syncs when reconnected.
Predictive Work Order Scheduling
Asset failure probability models that generate pre-emptive work orders before failures occur, integrated into your dispatch queue.
Work Order Intelligence
AI-assisted work order creation from customer reports — auto-classifies fault type, suggests required skills and parts, and sets priority based on SLA rules.
FSM Integration Layer
Bidirectional integration with Salesforce Field Service Lightning, SAP FSM, ServiceNow, IBM Maximo, and custom work order systems.
Field Performance Dashboard
Real-time technician utilisation, first-time fix rate, SLA adherence, and route efficiency KPIs for operations managers.
Business Outcomes You Can Expect
20–35%
Fewer Truck Rolls
AI route optimisation and pre-emptive scheduling combined.
15%+
First-Time Fix Improvement
Skill and parts matching reduces return visits.
95%+
SLA Adherence
Priority-optimised dispatch queue vs. manual scheduling.
0
Paper Work Orders
Offline-first mobile app replaces all paper-based workflows.
How We Deliver
Transparent weekly milestones so you always know what is happening and what comes next.
Data & Integration Foundation
- Work order history analysis
- FSM API integration
- Asset data pipeline
- Skills and parts database
AI Dispatch Engine
- Route optimisation model
- Skill-matching algorithm
- SLA priority queue
- Dispatch API
Mobile App Development
- Offline-first app (iOS + Android)
- Work order workflow
- Photo capture and documentation
- Sync and conflict resolution
Predictive Scheduling
- Asset failure model integration
- Pre-emptive work order generation
- Scheduler integration
- Priority queue tuning
Dashboard & Go-Live
- Operations dashboard
- KPI baseline comparison
- Dispatcher training
- Technician mobile onboarding
Choose Your Starting Point
Every tier is fixed-scope and fixed-price. Start small and scale when ready.
From $3,000
1 week
Current dispatch process audit, SLA and first-time fix analysis, technology stack review and AI opportunity scoring.
- Dispatch process audit
- KPI baseline measurement
- FSM system review
- AI roadmap
From $12,000
3 weeks
Deploy AI route optimisation and a basic mobile app for one team or region.
- Route optimisation for 1 team
- Mobile app pilot
- FSM integration
- KPI measurement
From $35,000
8–10 weeks
Full AI dispatch, offline mobile app, predictive scheduling, and FSM integration for your field operation.
- AI dispatch engine
- Offline mobile app
- Predictive scheduling
- FSM integration
- Operations dashboard
- Training
From $60,000
12–16 weeks
Multi-region, multi-trade deployment with customer self-scheduling portal, contractor management and advanced analytics.
- Multi-region rollout
- Customer portal
- Contractor management
- Advanced analytics
From $5,000/mo
Ongoing
Managed AI field operations — model optimisation, app updates, FSM configuration changes and monthly KPI reporting.
- Route model optimisation
- App maintenance
- FSM config updates
- Monthly KPI report
How We're Different
Compared to generic consultancies and do-it-yourself approaches.
| Feature | Mars Innovation Technology | Generic Consultancy | DIY / In-House |
|---|---|---|---|
AI route optimisation | ✓ | Basic only | ✗ |
Offline-first mobile app | ✓ | Connected only | ✗ |
Predictive scheduling | ✓ | ✗ | ✗ |
Fixed price & timeline | ✓ | ✗ | ✗ |
FSM integration included | ✓ | Extra cost | Manual |
First-time fix optimisation | ✓ | ✗ | ✗ |
Ongoing managed option | ✓ | ✓ | ✗ |
Frequently Asked Questions
What is the Field Operations Launchpad?
It is a fixed-price engagement that deploys AI-powered dispatch and route optimisation, an offline-first mobile app for field technicians, and predictive scheduling for your field service operation in 8–10 weeks.
How does AI route optimisation work?
We build a scheduling model that optimises work order assignments across multiple constraints simultaneously: technician skill level, parts inventory, travel time, SLA deadline, customer availability, and technician work hours. The model runs every 15–30 minutes to respond to new work orders and cancellations in real time.
What is an offline-first mobile app and why does it matter?
An offline-first app stores work orders, customer information, asset history and forms locally on the device and syncs when connectivity is available. Technicians in underground, rural or low-signal environments can complete their work and capture data even when the cellular network is unavailable.
Which field service management platforms do you integrate with?
Salesforce Field Service Lightning, SAP Field Service Management, ServiceNow CSM, IBM Maximo, Oracle Field Service, and ClickSoftware are all supported. We build a bidirectional integration so the mobile app and AI engine remain in sync with your system of record.
How does predictive scheduling work?
We connect asset failure probability models (from our Industrial AI Launchpad or from your existing data) to the scheduling engine. When an asset's failure probability exceeds a threshold, a pre-emptive work order is automatically generated with the correct skill, parts and SLA priority and added to the dispatch queue.
How do you measure the route optimisation improvement?
We establish a baseline of kilometres driven per work order, first-time fix rate, and SLA adherence in the 30 days before go-live, then compare the same KPIs in the 30 days after. The field performance dashboard tracks these metrics in real time.
Can the mobile app handle inspections and asset documentation?
Yes. The app includes configurable inspection checklists, photo capture, digital signatures, barcode and QR code scanning for asset identification, and voice-to-text notes. All documentation is attached to the work order and synced to your FSM system.
What does the Managed tier include?
Monthly route model retraining on updated work order data, mobile app updates for iOS and Android OS releases, FSM configuration changes, and a monthly KPI report tracking truck rolls, first-time fix rate, and SLA adherence.