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Financial analysis · adoption-ready estimate
Electric-AI -- Smart Scheduling and Dispatch for Electrical Contractors
If an entrepreneur "adopted" this product today, here's the realistic math.
Fermi summary
Sign 75 electrical contractors at $200/mo and you hit $180k ARR - but with Jobber and ServiceTitan already owning this workflow, you've got roughly a 14% shot of getting there before they ship the same AI feature.
Market size (TAM)
$90.0M
~75,000 US electrical contracting businesses with 3+ employees × ~$2,400/yr realistic spend on scheduling/dispatch AI, discounting solo operators and companies already locked into ServiceTitan/Jobber
Year-1 ARR range
$48k - $480k
midpoint $180k
Investment to production
$42k
Dev: $18k for mobile-first field worker UX, QuickBooks/ServiceTitan data import, and scheduling reliability hardening. Outbound/ads: $12k ta
Probability of success
14%
P(reaching mid case in 12 months)
Expected take-home Y1
$-23840
probability-weighted, after investment
Go-to-market motion
Cold outbound email + Facebook group seeding to 5-20 employee electrical contractors → free trial with one dispatcher → $200/mo subscription after first month of saved scheduling time demonstrated.
Key risks
- ServiceTitan, Jobber, and Housecall Pro are already dominant in this exact space and will ship AI scheduling as a feature update, not a new product - making standalone AI scheduling a feature, not a company
- Cold-start accuracy problem: AI dispatch recommendations require historical job duration data per contractor, so the product gives bad suggestions for the first 2-4 months, killing trial-to-paid conversion
- Electrical contractor owners skew 45-60 years old and notoriously resist new software - sales cycles are longer and churn is high when the owner's son or office manager leaves
Generated by the Wishdeal Factory financial-analysis agent. Numbers are honest Fermi estimates, not guarantees. Real outcomes depend on the operator. The studio is bullish on the engineering quality, agnostic on the business outcome.