# Pre-Dispatch Triage

*/Opportunities/Pre-Dispatch_Triage*

## Opportunity Overview

**Wedge**: Target residential HVAC companies operating 10 to 30 trucks in regions with extreme seasonal weather spikes. This niche experiences sudden call volume surges where automated triage determines daily profitability, yielding fast proof of value. Expansion proceeds horizontally into plumbing and electrical dispatch, followed by vertical expansion into automated supplier parts ordering.
**Timing**: Multimodal models currently parse homeowner photos of equipment rating plates and execute dynamic diagnostic conversations over SMS or voice, achieving reliable fault isolation without human intervention.
**Why This I C P**: Mid-sized home service businesses operating 15 to 50 trucks suffer severe margin erosion from false truck rolls costing 200 dollars each and lack the capital to employ highly technical dispatchers.
**Size Of Prize**: There are approximately 115,000 HVAC and plumbing businesses in the US, each spending roughly 12,000 dollars annually on dedicated dispatch triage labor, creating a 1.38 billion dollar addressable market.
**Gap Narrative**: Call centers for field service companies receive high volumes of poorly described inbound requests, leading dispatchers to send the wrong technician or roll a truck without necessary parts. The ICP needs a system that intercepts inbound requests, queries the customer for specific fault codes or symptoms, and classifies the exact skill and parts required before dispatch.
**Defensibility**: Defensibility compounds through proprietary diagnostic routing data and deep API lock-in. As the system maps thousands of localized appliance faults to specific parts catalogs, it generates an equipment-failure graph that generic models lack, while write-access integrations into core scheduling software establish heavy switching costs.
**Why This Thesis**: The Service-as-Software approach delivers a fully diagnosed ticket directly into Field Service Management tools like ServiceTitan, replacing a specific human labor unit without requiring the business to learn or operate a new software interface.

## Opportunity Linked Thesis

**Thesis**: [Service-as-Software](/Theses/Service-as-Software)

## Opportunity Linked I C P

**Icp**: [Field Service Provider](/CompanyTypes/Field_Service_Provider)

## Opportunity Market Sizing

_Illustrative — target and order-of-magnitude estimate figures, not an achieved track record (this Thing is concept-stage)._

**S A M**: ~$1B-1.5B North American mid-market and enterprise field service organizations
**S O M**: ~$30M-80M
**T A M**: ~300k global field service firms × ~$10k-15k/yr allocated to dispatch software and triage labor ≈ ~$3B-4.5B
**Growth Rate**: ~12-18%/yr, driven by skilled technician shortages and rising vehicle dispatch costs
**Paid Comparable Spend**: ~$40k-65k/yr per human dispatcher salary, plus ~$150-250 per wasted truck roll on misdiagnosed issues

## Opportunity Incumbents

- [Salesforce Field Service](/Products/Salesforce_Field_Service) — Tool
- [Aquant Service Insights](/Products/Aquant_Service_Insights) — Tool
- [ServiceNow Field Service](/Products/ServiceNow_Field_Service) — Tool
- [Manual Call Scripts](/Products/Manual_Call_Scripts) — DIY
- [Excel Dispatch Logs](/Products/Excel_Dispatch_Logs) — Spreadsheet
- [ServiceMax Core](/Products/ServiceMax_Core) — Tool

## Opportunity Win Conditions

**Kill Thresholds**:
- Dispatcher override rate exceeds 45% after 14 days of deployment
- Zero reduction in unnecessary truck rolls after 45 days of live usage
- Integration and data mapping to legacy ERP takes more than 21 days
- Customer refuses $1,500 monthly pilot conversion after 60 days
**Leading Metrics**:
- Percentage of service tickets categorized without manual dispatcher intervention
- Dispatcher acceptance rate of recommended technician skill level and parts list
- Average time spent per ticket in pre-dispatch triage phase
- Rate of first-visit resolution for triage-processed tickets
**What Proves Right**: Dispatch teams bypass manual call scripts and route incoming service requests directly through the automated triage engine. Technicians arrive on-site with the correct parts and skill profiles based on the system's fault predictions. Mid-market field service organizations pay $2,000 per month when the software consistently prevents 15 or more wasted truck rolls per billing cycle.
**What Proves Wrong**: Dispatchers distrust the automated symptom categorization and manually call customers back to re-verify equipment issues. The triage engine outputs incorrect fault codes, causing technicians to arrive with wrong replacement parts and driving the first-time fix rate down. Implementation stalls because mapping the triage logic to custom ServiceMax or Salesforce environments requires more than 30 days of professional services.

## Opportunity Build Profile

**Hardest Part**: Mapping vague, non-technical customer symptom descriptions to precise required skills and inventory parts with high enough confidence to trust the truck roll.
**Min Viable Scope**: Text-only ingestion from web portals and emails for a single specialized trade like commercial HVAC, outputting a suggested priority score, skill requirement, and parts list for a human dispatcher to review. Deliberately exclude voice call transcription and fully automated direct-to-technician dispatch routing.
**Cold Start Problem**: No baseline dataset maps unstructured symptom descriptions to actual required parts and resolution codes. Break this by ingesting 3-5 years of historical work orders and technician close-out notes from a single commercial design partner to train the initial matching engine.
**Time To First Value**: 2-3 weeks of historical data ingestion and shadow-mode accuracy tuning before live dispatcher use
**Data Moat Available**: true
**Technical Difficulty**: Moderate

## Neighborhood

### Where the gap lives

- [Mobile Field Service](/Departments/Mobile_Field_Service) — latent gap · Departments
- [Triage Outage Tickets](/Tasks/Triage_Outage_Tickets) — latent gap · Tasks
- [Time to Schedule Service](/Metrics/Time_to_Schedule_Service) — latent gap · Metrics
- [Repairing](/Skills/Repairing) — latent gap · Skills
- [Installation, Maintenance, and Repair Occupations](/Occupations/Installation,_Maintenance,_and_Repair_Occupations) — latent gap · Occupations

### Incumbent in

- [Excel Dispatch Ledgers](/Products/Excel_Dispatch_Ledgers) — incumbent in · Products
- [Aquant Service Insights](/Products/Aquant_Service_Insights) — incumbent in · Products
- [Manual Call Scripts](/Products/Manual_Call_Scripts) — incumbent in · Products
- [Salesforce Field Service](/Products/Salesforce_Field_Service) — incumbent in · Products
- [ServiceMax Core](/Products/ServiceMax_Core) — incumbent in · Products
- [ServiceNow Field Service](/Products/ServiceNow_Field_Service) — incumbent in · Products
- [Manual Phone Dispatch](/Products/Manual_Phone_Dispatch) — incumbent in · Products
- [ServiceTitan FSM](/Products/ServiceTitan_FSM) — incumbent in · Products
- [Jobber Dispatch](/Products/Jobber_Dispatch) — incumbent in · Products
- [XOi Technologies](/Products/XOi_Technologies) — incumbent in · Products
- [Housecall Pro](/Software/Housecall_Pro) — incumbent in · Software

### Applies thesis

- [Field Service Provider](/CompanyTypes/Field_Service_Provider) — applies thesis · CompanyTypes
- [HVAC Contractor](/CompanyTypes/HVAC_Contractor) — applies thesis · CompanyTypes

### Embodies

- [Service-as-Software](/Theses/Service-as-Software) — embodies · Theses
- [Agent](/Theses/Agent) — embodies · Theses

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