Throughput and Capacity Simulation: Retail Self-Service Queues

Customizable simulation demo

This is a sample simulation/explainer

This demo can be fully adapted to your own business case, process, dataset, brand, and communication goal. New logic, sliders, visuals, scenarios, metrics, layouts, and custom design elements can be added as needed.

Custom business logic New sliders and controls Tailored visuals Personal branding
Queues • Bottlenecks • Retail self-service

Throughput & Capacity — Retail Self-Service Checkout Simulation

One full hour of checkout activity is simulated and played back at 10×–400× speed. You set the scenario with sliders (preference, kiosks, cashiers, assistants, demand). Any change restarts the hour so the outcome is comparable.
Step 1 — Set scenario Step 2 — Run 1 hour (fast playback)
What it shows
How small capacity mismatches turn into queues and bottlenecks across lanes.
Why “more kiosks” isn’t always the fix: assistance capacity and error handling can become the real choke point.
How demand (clients/hour) interacts with lane choice (self-service preference) to change wait times and served volume.
Core controls
Speed:10×, 25×, 100×, 200×, 400× playback
Demand:Clients per hour
Preference:% choosing self-service
Capacity:# kiosks, # cashiers, # assistants
Restart:Any slider change restarts the hour
Live outputs
Wait now:Traditional vs Self-Service (seconds)
Served by clock:Total served so far (count)
Queue pressure:Index (light → heavy) + flow state
Utilization:% busy for cashiers, kiosks, assistants
Completions:Traditional vs Self-Service by 60:00
Best for
Retail staffing & scheduling pages (make tradeoffs visual)
Self-checkout proposals (capacity planning narrative)
Ops workshops (stress-test demand spikes)
Exec decks (show “balanced flow” vs “system strain”)
queues bottlenecks throughput capacity planning utilization wait times self-checkout staffing kiosk errors assist capacity
Dial demand and capacity until the system flips from balanced flow to queue pressure. The point isn’t a single “right” staffing number — it’s showing the shape of the tradeoff.
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