Analytics

Instant Analytics

Waiting time, queue length, utilization, probability of waiting — updated in real time.

Recommendations

Smart Recommendations

“Add 2 servers”, “Open self-service kiosk”, “Train staff 15% faster” — actionable advice.

What-if

What-If Simulator

Test scenarios live: +20% arrivals, -1 server, faster service — see impact instantly.

Useful Parameters

Banks & Financial Halls

Reduce teller queues, optimize shift planning, introduce digital channels.

Hospitals & Clinics

Shorten patient waiting time, balance doctor/nurse load, predict bottlenecks.

Waiting Time

Average Waiting Time in Queue

Little’s Law

Relationship Between Time and Number
𝐿 =𝜆𝑊 𝐿𝑞=𝜆𝑊𝑞

Quick Summary

Service rate (μ) = speed of serving customers
μ = 1 / service time
Always ensure that: 𝜇>𝜆

Simple Example

If: Arrival rate (λ) = 4 customers/hour Service rate (μ) = 6 customers/hour
Then: 𝜌=4/6 =0.67
👉 System is stable.

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