Executive Summary

Exterior-cleaning contractors and small home-service operators currently spend a disproportionate amount of time on site visits, manual measurements and back-and-forth estimates, which drives cost and slows conversion for a globally estimated 250,000 potential customers in this niche. Those businesses lose leads to slow quoting, have uneven pricing by crew, and struggle to track jobs and payments in one place—pain points that are especially acute for teams of 1–10 people who cannot afford dedicated estimators. You could build an industry-specific SaaS that combines AI vision, satellite and aerial imagery, and customer-submitted photos to generate property-based, line-item estimates tied to unit pricing, crew setup and materials, with an integrated CRM, online booking and payments. Market-facing pricing could target roughly $4,000 ACV per customer through subscriptions plus transaction and marketplace fees, while the product focuses on replacing the need for many site visits and centralizing job management. This market is unusually attractive now because satellite imagery and computer vision have matured to a point where automated scoping is feasible, SMB digitization is accelerating post-pandemic, and contractors increasingly prefer verticalized workflows over generic CRMs; together these trends support a $1.0B addressable opportunity. Your internal scoring (Market Score 92/100, Revenue Potential 90/100) is consistent with a category that is large, reachable and monetizable if you can achieve product-market fit. To stand out you must lean into trade-specific workflows (materials, unit pricing, crew labor models), field-friendly mobile UX, reliable measurement validation and tight integrations with payments and accounting to lower switching costs from existing CRMs; these are realistic defensibilities versus medium competition. Be honest that the main challenges are ensuring measurement accuracy on complex properties, managing potential liability from underquoting, securing imagery/data partnerships, and overcoming initial trust and onboarding friction with conservative operators.

Market Opportunity

Automated quoting & CRM for pressure washers — property-based estimates targets a $1.0B = 250,000 exterior-cleaning & small home-service businesses globally x $4,000 ACV (CRM, payments, marketplace fees) total addressable market with medium saturation and a year-over-year growth rate of 12%+ (field-service software adoption; SMB SaaS expansion).

Key trends driving demand: AI vision & satellite imagery -- enables automated property measurement and photo-based scoping that used to require site visits.; SMB digitization -- more small contractors adopt cloud CRMs, payments, and online booking post-pandemic.; Verticalized SaaS -- contractors prefer industry-specific workflows (materials, unit pricing, crew setup) over generic CRMs.; Embedded fintech -- easier acceptance of integrated payments and financing at point-of-sale improves cash flow for contractors..

Key competitors include Jobber, Housecall Pro, ServiceTitan, Ad-hoc stacks (QuickBooks + Google Sheets + DocuSign / manual workflows).

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Automated quoting & CRM for pressure washers — property-based estimates

Executive Summary

Market Validation

Market Opportunity

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