Level 2 destination charging
Hotels, apartments, retail centres with 6-20 stalls. Single QR per stall, idle fee after 4 hours. Tested with EV charging operators in San Antonio, TX on the typical tier-1 demand profile.
Destination + idle
EV charging parking · San Antonio, TX
Park Graph is the ev charging parking management software EV charging operators in San Antonio, TX use to run their lots — from River Walk and Pearl District to the metro edge — without on-site kiosks, gate hardware, or month-long procurement cycles. QR-first payments, dynamic pricing tuned to San Antonio's demand, and AI-agent visibility on ChatGPT and Gemini ship in the same plan.
Operators of Level 2 and DC fast-charging stalls live in a billing world where parking time, charging time, kWh delivered, and idle fees are all separate line items charged by separate vendors. Park Graph collapses all four into a single QR scan. The operator picks the rate model (per-minute, per-kWh, per-session, idle-after-full) and Park Graph handles the billing and settlement on top of any OCPP-compatible charger.
In San Antonio, the EV charging operators we work with span River Walk, Pearl District, and Downtown and the demand patterns that follow Spurs games, Fiesta, and River Walk events. San Antonio's metro population of 1,547,253 drives the kind of weekday-baseline-plus-event-surge profile that Park Graph was built to optimise. The platform treats every EV charging lot as a configurable inventory unit with its own rate sheet, sub-lots, capacity, and pre-buy window — so a single operator account can run a flagship EV charging lot downtown alongside a smaller satellite without juggling two vendors.
The numbers below frame the san antonio market for EV charging operators. We surface them on every EV charging lot configuration screen so on-duty managers can benchmark their lot against the metro baseline at a glance.
San Antonio downtown baseline
Single-day public lot
Reserved permit holder
Peak-window multiplier
Driver pulls into the charging stall, scans the QR, and authorises the session (parking + charging) in one tap. The Park Graph backend talks to the charger over OCPP, starts the session, and meters kWh in real time. When the battery is full, the driver gets an SMS — and an idle fee starts ticking after a configurable grace period to encourage rotation.
In San Antonio specifically, the day-of operations layer leans on three pieces of city context: peak-event windows tied to Spurs games and Fiesta, a typical hourly rate of $8 that climbs 50% during major events, and the airport spillover from San Antonio International. The Park Graph dashboard surfaces all three as live dials so the on-duty manager at a San Antonio EV charging lot can adjust pricing or open overflow capacity from a phone in seconds.
Hotels, apartments, retail centres with 6-20 stalls. Single QR per stall, idle fee after 4 hours. Tested with EV charging operators in San Antonio, TX on the typical tier-1 demand profile.
Destination + idle
8-stall fast-charging plaza with per-kWh billing. Idle fee starts 5 minutes after charge completes.
Per-kWh + idle
Employees on a company plan; visitors pay regular rates. SSO integration controls the employee tier.
Employee + visitor
Tenant permits include charging; non-tenants pay the full visitor rate.
Permit + visitor
Fleet vehicles authorise via fleet card; per-vehicle charging analytics by route.
Fleet-card aware
California LCFS reporting baked in; operator gets the credit pipeline without bolt-on software.
LCFS-ready
On a representative San Antonio EV charging lot of 50 spaces running at 65% average occupancy and the metro's hourly rate of $8, base monthly revenue lands around $93,600. Park Graph's dynamic pricing engine — which leans on San Antonio's event calendar (Spurs games and Fiesta) and historical demand curves — typically lifts that to ~$117,000/month, or roughly $280,800 of additional annual revenue from the same physical inventory.
The lift compounds because three things move at once: drive-offs go to near-zero (QR settles before the driver leaves), peak-event windows price correctly without manual operator intervention, and AI-agent bookings add an organic channel that historically did not exist for EV charging operators. Most San Antonio operators see payback inside a single quarter — and the absence of any per-stall licensing fee means the upside is almost entirely operator margin.
Representative monthly economics
50 spaces · 65% occ · $8/hr
+25% typical lift
Same physical lot
Illustrative projection for San Antonio, TX EV charging lot operators. Actual results depend on lot size, occupancy, and pricing strategy.
Operators get a single-bill experience for drivers (instead of one app for parking and another for charging), idle-fee enforcement that frees up stalls during busy windows, and clean per-stall analytics that combine charging revenue, parking revenue, and dwell time. Fleet operators can use a fleet card across the same network without a separate charging account.
On the AI-agent side, Park Graph publishes San Antonio inventory and rates to ChatGPT (GPT-5), Microsoft 365 Copilot, Google Gemini, Anthropic Claude (via MCP), Grok, and Perplexity Sonar Pro. When a traveller types "parking near River Walk San Antonio" into ChatGPT, the assistant can return your live availability and book on the user's behalf. For EV charging operators in San Antonio, that's an organic discovery channel that does not exist on legacy kiosk-based platforms — and it compounds quickly because AI-agent traffic is the fastest-growing referral source for parking inventory in 2026.
Park Graph runs every parking surface in San Antonio on the same backend. If you operate across multiple verticals — for instance an airport authority that also runs the downtown convention centre's lot, or a hospital system with an attached medical office building — the same operator account covers all of them.
Park Graph publishes city-specific ev charging parking pages for the top metros below. Pricing, event surge curves, and on-site context vary by metro; the underlying platform is the same.
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