AI optimized scheduling and dispatch
Every job assignment weighs skills, proximity, parts availability, and SLA commitments, so the right technician arrives with the right parts, every time.
AI Powered Field ServiceReal time AI dispatch
AI Powered FieldService Management
Dispatch the right technician with the right skills to the right location, optimised in real time by AI routing, SLA breach prediction, and intelligent parts management.
XpediOo turns field operations from a dispatch board and a phone into a self optimising system that predicts demand, prevents SLA breaches, and lifts first time fix rates across every region.
AI at every stage
- AI classifies, prioritises, and queues every job instantlyJob Request & Triage
- The right technician, right skills, right parts, every timeIntelligent Dispatch
- AI guides technicians through every jobIn Field Execution
- Breaches predicted and prevented, not reportedSLA & Escalation
- Every job makes the operation smarterClosure & Learning
35%+
Increase in first time fix rate
40%
Reduction in travel waste
90%+
SLA compliance with AI breach prediction
70%
Less admin time per job with AI summaries
AI at every stage
Intelligence woven through the entire field service lifecycle
From the moment a job request arrives to the predictive insight it generates on closure, AI is active at every step, not bolted on at the edges.
01Job Request & Triage
AI classifies, prioritises, and queues every job instantly
The moment a work request arrives from a customer, a sensor alert, or a scheduled PM, AI reads the job type, asset history, urgency, and SLA window, and classifies it in milliseconds. No dispatcher touches it until it's already prioritised.
- Multisource intake: portal, phone, IoT sensor, EAM trigger, and scheduled PM
- Instant classification by job type, asset criticality, and SLA tier
- Automatic priority scoring based on SLA deadline, customer tier, and asset risk
- Duplicate and repeat visit detection to flag systemic failures early
02Intelligent Dispatch
The right technician, right skills, right parts, every time
AI matches each job to the optimal technician by evaluating skill certification, current location, travel time, van stock, and SLA risk simultaneously. The dispatch board becomes a confirmation screen, not a decision screen.
- Multifactor optimisation: skill, proximity, parts availability, and SLA weighting
- Continuous reoptimisation as jobs complete, cancel, or escalate during the day
- Contractor and third party workforce included in the same dispatch pool
- AI recommended parts list generated before dispatch based on asset and symptom
03In Field Execution
AI guides technicians through every job
On site, the mobile app surfaces full asset history, AI recommended resolution steps, parts lookup, and knowledge base articles. Technicians work faster and smarter, even offline in signal dead environments.
- Offline capable app with full asset history, job details, and parts lookup
- AI suggested resolution steps ranked by success rate on similar assets
- Live knowledge base search with semantic retrieval: the right answer without exact keywords
- Conversational job briefing: technicians ask questions in natural language
04SLA & Escalation
Breaches predicted and prevented, not reported
AI monitors every open job against its SLA window, calculates breach probability in real time, and triggers redispatch or escalation automatically. Customers receive proactive notifications throughout, with no chasing required.
- Real time SLA countdown with breach probability scoring per job
- Automated redispatch to a closer technician when breach risk crosses threshold
- Multitier escalation chains with configurable owners and notification rules
- Customer push notifications at dispatch, en route, on site, and completion
05Closure & Learning
Every job makes the operation smarter
On job closure, AI writes the resolution summary, triggers CSAT collection, updates asset history, and feeds failure patterns back into the predictive maintenance model. The operation improves with every completed work order.
- Auto generated closure summaries: work done, parts used, and next recommendations
- Automated CSAT dispatch with sentiment scoring and low score follow up workflows
- Asset history and CMDB updated automatically from job outcomes
- First time fix rate and failure pattern analysis feeding technician training recommendations
AI capability clusters
Four layers of AI, working together
Most FSM platforms bolt AI onto dispatch. XpediOo is built AI first across four intelligence layers, each feeding the others to create a self improving field operation.
01
Dispatch intelligence
- Multifactor optimisation: skill, location, parts, and SLA, simultaneously
- Continuous reoptimisation as jobs complete, cancel, or escalate
- AI recommended parts list generated before technician leaves depot
- Contractor pool included in the same AI dispatch engine
- Capacity forecasting 30+ days ahead for staffing alignment
02
Predictive maintenance and planning
- Asset failure risk scoring from IoT telemetry, age, and maintenance history
- Preventive visit scheduling before reactive callouts are generated
- Parts demand forecasting and auto replenishment across all depots
- First time fix rate analysis identifying recurring failure root causes
- Technician skill gap detection from repeat visit and escalation patterns
03
Mobile and in field AI
- Offline capable app, fully functional in signal dead environments
- AI suggested resolution steps ranked by success rate on similar assets
- Conversational job briefing in natural language, with no manual search
- Semantic KB search: the right article without exact keywords
- Auto generated closure summaries submitted on job completion
04
Analytics and workforce optimisation
- Natural language field analytics: ask plain English questions about operations
- Customer sentiment scoring with automatic low CSAT follow up workflows
- Travel waste and utilisation dashboards with AI improvement recommendations
- SLA compliance trends broken down by team, region, and asset class
- Continuous learning loop: every job outcome improves dispatch and prediction models
Core capabilities
12 capabilities covering the full field service lifecycle
From intelligent dispatch to automated invoicing, every capability is AI augmented and connected to EAM, CMDB, and the rest of the XpediOo platform.
Real time technician tracking
Live location with ETA prediction keeps dispatchers in control and triggers automatic customer push notifications as technicians approach.
Mobile technician app
Offline capable with job details, asset history, and parts lookup. Technicians complete work in basements, rural sites, and dead zones without losing data.
Intelligent parts and inventory
AI demand forecasting and automatic replenishment keep depot and van stock at the right levels, eliminating second visits caused by missing parts.
SLA tracking and automated escalation
Breach prediction triggers redispatch and escalation before violations occur, shifting SLA management from reporting to prevention.
AI generated job summaries
Work performed, parts used, and next steps are captured automatically as resolution notes, with no end of day paperwork for technicians.
Customer communication automation
Appointment confirmations, arrival alerts, and post visit satisfaction surveys run automatically across the entire service journey.
Asset and equipment service history
Linked to CMDB and EAM for full lifecycle context, so every technician sees the complete history of the asset they're servicing.
Predictive field service planning
AI recommends preventive visits based on asset failure risk scores, converting emergency callouts into planned, efficient maintenance.
Contractor and third party workforce
Credentialing, job assignment, and performance scoring extend the same governance to external workforces as to your own technicians.
Billing and time capture integration
Automated work order costing and invoice generation close the loop between field work and revenue without manual reconciliation.
Field analytics dashboards
First time fix rate, utilization, travel time, and customer satisfaction trends give operations leaders the levers to improve continuously.
Capability highlights
High impact features and AI capabilities
- 1AI optimized scheduling and dispatch weighing technician skill, proximity, parts availability, and SLA risk to assign every job in seconds, with no manual board management
- 2Real time technician tracking with dynamic ETA prediction and automated customer push notifications from dispatch through job completion
- 3Predictive field service planning that recommends preventive visits based on AI failure risk scores before assets generate reactive calls and emergency costs
- 4Intelligent parts and inventory management with AI demand forecasting and automatic replenishment eliminating first visit parts shortages across all depots
- 5Contractor and third party workforce management covering credentialing, job assignment, and live performance scoring against SLA commitments
- 6Billing and time capture integration automating work order costing, parts reconciliation, and invoice generation on job closure, with zero manual reconciliation
- 7Offline capable mobile technician app, fully functional in basements, rural sites, and signal dead zones with seamless sync on reconnect
- 8Field workforce capacity forecasting: AI predicts volume spikes 30+ days ahead so staffing matches demand without overtime or idle time
- 1AI generated job summaries and resolution notes capturing work performed, parts used, and recommended next steps, reducing admin time per job by up to 70%
- 2SLA breach prediction engine that triggers proactive redispatch or escalation hours before a violation occurs, not minutes after it passes
- 3Route and schedule optimisation that reruns continuously throughout the day as jobs complete, cancel, or change priority, with no manual replanning
- 4AI powered first time fix rate analysis identifying recurring failure patterns and recommending technician training or stock adjustments to close the gap
- 5Customer sentiment scoring after every job with automatic follow up triggers and service recovery workflows for low satisfaction outcomes
- 6Natural language field analytics: ask plain English questions about utilisation, travel time, and resolution trends across the entire service operation
- 7AI failure risk scoring per asset that integrates IoT telemetry, maintenance history, and age data to rank assets by breakdown probability
- 8Intelligent parts recommendation engine: AI suggests parts needed before dispatch based on asset type, symptom, and historical resolution patterns
- 9Technician skill gap detection: AI identifies capability shortfalls from repeat visit patterns and auto generates training recommendations
- 10Conversational job briefing: technicians ask the mobile app questions in natural language and get answers from asset history, KB, and prior resolutions
Why it matters
Why traditional field service platforms hold operations back
Legacy FSM tools were built for scheduling, not intelligence. XpediOo was built AI first from day one.
Problem
- Dispatch is manual, skill blind, and map only
- Parts shortages cause costly repeat visits
- SLA breaches are reported after they happen
- Field data stays trapped in paper and verbal handoffs
XpediOo
- AI optimises every assignment across skill, proximity, parts, and SLA risk simultaneously, in seconds rather than minutes of board management.
- AI precalculates required parts per job from asset type, symptom, and resolution history, and auto replenishes depot stock before shortages occur.
- Breach probability scoring runs continuously; redispatch and escalation trigger automatically while there is still time to act.
- AI generates structured resolution summaries on closure, feeding asset history, CMDB, and the predictive model automatically from every job.
Get started
Raise first time fix rates. Cut travel waste.
See how XpediOo's AI Powered Field Service Management raises first time fix rates by 35%+, cuts travel waste by 40%, and predicts SLA breaches before they happen.