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TIER A BUILT · GATE NOT CLEARED

No-Show Prediction + Safe Overbooking

Predict no-shows and overbook safely - recover lost slots without double-booking real patients.

scaffold from €1,290

TOMORROW · CHAIR 2 - RISK SCAN + OVERBOOK

Appointments · Wed
9:00A. Kazlauskienė5%
10:00J. Butkus9%
11:00M. Petrauskas61%
11:00+ OVERBOOK · T. Rimkus (waitlist)✓
12:00R. Žukauskas28%
13:00E. Vaitkutė7%

expected empty chairs: 1.1 → overbooked 1 · your cap: max 2/day · double-booking risk held under 3%

11:00 · M. Petrauskas · hygiene visit

61%

no-show probability · calibrated - 6 in 10 like this one don't come. Booking metadata only, never medical records.

Why - top 3 drivers
⏳ Booked 6 weeks ago (long lead = risk)
✕ 2 no-shows in the last 12 months
◔ SMS reminder not confirmed
→ SLOT OVERBOOKED from waitlist · extra reminder queued
🟡 patient messaging is clinic-approved - templates & frequency yours
calibration Brier 0.139 · ECE 0.023 · backtest on 475 later clinic-days: 1,733 slots recovered, 38 turn-aways · logged ⛓

How it works

01

Connect the scheduling system

Mediq, Clinica or custom - read-only. The model sees booking metadata only: lead time, history, reminders. Never diagnoses, never treatment data.

02

Calibrated risk per appointment

Overbooking math is only safe with true probabilities - calibration isn't a feature here, it IS the product. Validated on your history before go-live.

03

Overbook under YOUR cap

Expected-cost optimisation weighs an empty chair against a turned-away patient. The cap and the turn-away tolerance are your risk decisions, not the model's - and the cap is never exceeded. It bounds your exposure; it does not promise zero.

04

Reminders, clinic-approved

High-risk appointments can trigger an extra reminder - with templates and frequency your clinic signs off. Seasonal drift watched (holidays shift behaviour).

Methodology reference

The published method this build is based on, and what it did in production.

American Airlines

American Airlines pioneered no-show forecasting and overbooking optimization (DINAMO), valued at ~$1.4B over three years.

No-show → overbooking optimization · as reported by INFORMS ↗

Referenced for methodology only. AimRank is not affiliated with, endorsed by, or a customer of these companies; each links to its own public source. Sources last checked September 2026.

The Four Guarantees™ - this build

The scaffold wires all four in. The PoC proves them on your data, as of that day. Only Implementation keeps them true over time: watched, drift-checked, with recourse.

Measured value

On the lab build, tested on the latest week the model never saw: €14.73 recovered per no-show, and a backtest that realised 1.18x its own forecast.

Defensible

Per-appointment risk reasons; no protected-class or clinical features; GDPR-grade (health-adjacent) audit log of every decision.

Self-improving

Calibration held to a Brier/ECE gate before ship, because the overbooking math demands true probabilities, then tracked continuously; seasonal + behavioural drift alerts the moment quality slips; corrections feed the model monthly.

Yours & everywhere

Scheduling-system write-back with the cap enforced; your cloud, full source. MCP tools for clinic-ops agents (🟡 messaging gated).

The number, sized honestly

Reference buyer: Lithuanian / Baltic private clinic group, ~500 appointments/week, ~12% no-show rate, ~€60 revenue per visit.

€186k per year lost to no-shows at this volume - the problem, measured
~30% the planning assumption we quote ≈ €55k/yr - not a measured result
~6 wk payback at the €4,900 PoC, on the reference volume
1.18x the backtest realised MORE than forecast - €97.1k against €82.4k expected, on 475 clinic-days from the week after the training data

Three ways to own it

Tier What you get Price
Scaffolding ★ The full repo - calibrated model + overbooking policy + reason layer, audit log, MCP server. Reference run on public clinic data. €1,290
PoC ★★RECOMMENDED A decision, not software. You export your appointment history once (CSV - no integration); we refit and calibrate on your patients, then replay the overbooking policy against weeks that already happened. You get the measured euro number, the eval-gate verdict, the Annex IV dossier and a written go/no-go - including 'don't buy the build'. €4,900 · fixed scope · delivered in 10-15 working days
Implementation ★★★ Production: live in your scheduling flow, caps enforced, monthly recovered-slots report. The agreed number attaches here - set from YOUR PoC backtest, not from our reference figures. Calibration monitoring, drift alerts and seasonal retraining run on the assurance plan (+ from €900/month assurance), because a model that keeps earning its number needs watching, not just shipping. from €12,000+ from €900/month assurance

★ = engagement depth. PoC is the recommended path: quality proven on your data before production money. The PoC carries no performance guarantee by design; the agreed number (conservative) attaches at Implementation, informed by the PoC report.

What we don't promise

Overbooking is a risk trade, not a free win - and the reference numbers are not your numbers. The optimiser is deliberately risk-tolerant: you set how often a turned-away patient is acceptable, and on our own backtest the policy produced 38 turn-aways across 26 of 475 clinic-days while recovering 1,733 slots. Tested on the latest week rather than a random sample, our lab build does not yet clear its own over-55 calibration check (0.071 against a 0.05 bar), so it is labelled gate not cleared; the bar does not move, and your PoC on your own data is where it gets settled. Anyone promising zero is either capping so hard it recovers nothing, or not counting. Every euro figure above comes from a public dataset of 110,527 Brazilian clinic appointments - not from your practice, and not from any client's. Clinics with fewer than ~500 recorded appointments need 3-6 months of data collection first. And the model never touches clinical data, or age, or sex: booking behaviour only, enforced structurally and proven by a test.

Ready to see your own number?

Request the build: within 48h you get a personal reply with the value sized to your volume.

No commitment · reply within 48h · your data stays in the EU