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Case Study · Live in production

FleetSnap: AI inbox and claims assistant for Turo hosts.

Turo hosts with 5 or more cars stop running their business through one calendar and a Notes app. FleetSnap takes over the inbox, the financial analysis, and the damage-claim path. Same fleet, dramatically less Sunday-night triage.

Live at fleetsnap.ai.

FleetSnap.ai hero: AI Inbox and Claims Assistant for Fleets.

Screenshot from fleetsnap.ai, captured 2026-05-06.

Section 01

The problem

A Turo host with one car has a hobby. A Turo host with five or more cars is running an operation. The work that wasn't there at one car explodes at five: messaging guests, scheduling cleaners, tracking damage claims, reconciling earnings, chasing supplements, answering "is the car available?" at 11pm.

The hosts who scale past 5 cars do it on willpower. They wake up to 30 unread guest messages and triage by urgency on a phone. They keep finances in a spreadsheet that gets touched once a quarter. Every claim they file by hand is 45 minutes they could have spent on a car they actually own.

The ICP is fleet-sized: Turo hosts with 5+ cars who have already proven the unit economics and now need the operational layer that turns a portfolio into a business.

Section 02

What Downshift built

One assistant across three host workflows: inbox, money, claims. Nine named surfaces, each tied to one job a fleet host has to do today.

AI inbox with suggested replies

Every Turo guest message gets a Claude-generated suggested response in the host's voice. The host approves, edits, or rewrites. The 30-message backlog becomes a 5-minute review.

Concierge VA layer

On the Concierge plan, a human VA layers on top of the AI suggestions. Hosts hand the inbox over entirely; the assistant only escalates the edge cases.

Turo earnings analysis

Pulls Turo earnings data and answers the questions hosts actually ask: which cars are profitable, which months were down, what insurance and platform fees are doing to the take.

Financial statement analysis

Upload statements; the assistant categorizes, totals, and flags. Quarterly tax-prep stops being a weekend.

AI damage detection (vision)

Legacy from RepairSnap's vision pipeline. OpenAI GPT-4o detects damage from before/after photos; Claude generates itemized cost ranges with location-aware labor rates.

Claim and supplement workflow

Damage report → estimate → supplement request, all from one screen. Stops the back-and-forth that loses fleet hosts weeks per claim.

Tier-sized pricing for fleets

Pro plan: $99.99/mo base + $6 per vehicle. Concierge plan: $199.99/mo base + $20 per vehicle (5-vehicle minimum). Pricing scales the way a fleet does.

Legacy damage estimate plans

For hosts who only need damage estimation, four legacy tiers (Starter $19.99 / Manager $59.99 / Pro $99.99 / All-Star $199.99) keep the lighter use case priced fairly.

Pre-rendered for AI search

Static HTML snapshots pre-built for AI and search bot crawlers via the project's prerender step, so the marketing pages are answerable by Cursor / Perplexity / Claude / search engines without JS.

FleetSnap features section showing the AI inbox and fleet management surfaces.

Screenshot from fleetsnap.ai, captured 2026-05-06.

Section 03

The architecture

Full-stack TypeScript on a Neon-Postgres + Railway substrate. Two AI providers split by job: Claude on conversation and quotes, GPT-4o on vision.

Frontend

  • React 18 + TypeScript
  • Vite + TanStack Query
  • Wouter routing
  • Static HTML snapshots via prerender step (for AI/search bots)

Backend

  • Express + TypeScript
  • Drizzle ORM
  • PostgreSQL (Neon serverless)
  • Server timeout 300s for image-processing requests

AI surface

  • Anthropic Claude for inbox suggested replies and repair quotes
  • OpenAI GPT-4o for legacy damage detection (vision)
  • Same vision-AI lineage as RepairSnap

Ops

  • Railway hosting (push → main → staging → production)
  • Stripe subscriptions across two pricing systems
  • SendGrid transactional email
  • PostHog + LogRocket analytics
Section 04

Real outcomes

Numbers below are from the production codebase pricing config and from fleetsnap.ai. No fabricated user counts.

$99.99

Fleetsnap Pro base monthly. Plus $6 per vehicle.

$199.99

Concierge plan base monthly. Plus $20 per vehicle. 5-vehicle minimum.

5+

Vehicles in the fleet ICP, where the operational pain becomes acute.

2

Pricing systems wired in production: legacy damage estimate plans + Concierge fleet plans.

3

Host workflows the assistant covers: inbox, money, claims.

2

AI providers split by job: Claude on conversation + quotes, GPT-4o on vision.

300s

Server timeout for image-processing requests, sized for vision-AI rounds.

4

Legacy damage-estimate tiers ($19.99 / $59.99 / $99.99 / $199.99) for hosts who only need estimation.

Sources: Concierge / legacy pricing tiers and the 5-vehicle Concierge minimum come from ~/Github/FleetSnap/fleetsnap/CLAUDE.md (server/concierge-pricing.ts + Stripe price-id table). Tech stack and 300s timeout come from the same file. Per-host MAU and revenue are not on the public marketing page and are shared on request.

FleetSnap pricing showing Pro and Concierge tiers.

Screenshot from fleetsnap.ai, captured 2026-05-06.

Section 05

What's in flight

FleetSnap's near-term focus is the inbox + financial analysis pair. The legacy damage-estimate flow keeps the lighter use case alive. Production hardening continues with a deliberate staging-first deploy path (push to main → push to staging → manual production cutover), so a Turo host's live inbox is never the test environment.

Want this for your venture?

Downshift partners with non-technical founders to ship production-grade AI products in 3 to 6 weeks. Fixed scope, no equity.

See more shipped Downshift ventures on the wins page, or read the RepairSnap, FairStack, and Rivalize case studies.