AI bottleneck & throughput analyst

Find your bottleneck.
AI shows the fix.

An AI analyst for the one thing that decides how fast any process runs: its slowest step. Describe your line in plain English or punch in the figures — the AI finds the bottleneck, predicts the throughput, and tells you exactly where to add capacity. Grounded in the real operations math — Little’s Law, OEE, process cycle efficiency — and explained like a colleague would.

Runs in your browser — your numbers stay with you AI analysis in plain language, not just a number Free, no account, no limits
Production-line schematic with the slowest station flagged in amber and dimension lines
The AI analyst

Four models. One AI read of your slowest step.

Pick a model, change the numbers, and the AI reads the result live — what it means and where to act. Every figure is computed in your browser, then interpreted for you the moment it moves.

Inputs · Throughput & Little’s Law
Results
items / hour
AI analysisLittle’s Law: throughput = WIP ÷ cycle time. Cut WIP or cut cycle time and throughput rises — the two levers every queue obeys, and the first place the AI looks.
Inputs · Bottleneck finder
1
2
3
4
5
Results
jobs / hour
Station 1 · Utilisation
Station 2 · Utilisation
Station 3 · Utilisation
Station 4 · Utilisation
Station 5 · Utilisation
AI analysisLimited by: Station — A line can only run as fast as its slowest station. The AI flags the constraint in amber — add capacity there, and nowhere else, to lift the whole line.
Inputs · Overall Equipment Effectiveness
Results
OEE · %
OEE
AI analysisOEE = availability × performance × quality. World-class is around 85%; below 60% the AI reads a real, fixable loss and points at which of the three is dragging.
Inputs · Process Cycle Efficiency
Results
Process Cycle Efficiency · %
Process Cycle Efficiency
AI analysisPCE = value-added time ÷ total lead time. Most processes sit under 25% — the rest is waiting, and the AI reads the waiting as where the bottleneck really hides.
What the AI does

Four models your AI reads at once.

No login, no upload, no spreadsheet. The AI runs the operations math your team reaches for and hands back the answer with the reasoning — side by side.

01

Throughput & Little’s Law

The AI relates work-in-progress, cycle time and throughput — change any two and it reads the third, the law every queue obeys.

Throughput = WIP ÷ Cycle time
02

Bottleneck finder

Enter the capacity of each station and the demand. The AI finds the constraint, caps the line’s throughput, and flags exactly where to add capacity.

Throughput = min(station capacity)
03

OEE

The AI turns availability, performance and quality into one honest number for how hard your equipment is really working — and names the weakest link.

OEE = A × P × Q
04

Process Cycle Efficiency

See how much of your lead time actually adds value — and how much is just waiting in a queue. The AI reads the gap as your opportunity.

PCE = Value-added ÷ Lead time
Read like an analyst, not a spreadsheet

The constraint, explained by AI — not buried in a grid.

The AI shows the same thing the best operators carry in their heads: where the line slows down and by how much. It lays out capacity station by station, flags the bottleneck, reads utilisation per step, and writes the one recommendation that moves the line — so you spend your effort on the step that actually matters.

Open the AI analyst →
The bottleneck finder: station capacities as bars with the constraint highlighted in amber
How it works

Three steps to a number you can act on.

01

Pick a model or describe your process

Throughput, the bottleneck finder, OEE or cycle efficiency — each maps to a question operations teams ask every week, and the AI knows which math to run.

02

Enter the numbers

Use the fields or the sliders. Everything computes live in your browser — nothing is uploaded, nothing is stored, nothing to install.

03

Get the AI’s verdict and next move

You get the figure, the gauge or the flagged constraint, and a plain-English read of what it means and exactly where to act.

4
AI models behind every read
0
data uploaded — it all runs locally
10s
to an AI read of your line, no spreadsheet
1
step decides your whole throughput
Pricing

The AI analyst is free. Forever.

Every model and every AI read is free, no account, no limits. Upgrade only if you want to embed it, drop the ads, or save your scenarios.

Free

$0

For everyone

  • All four AI models
  • Unlimited analysis
  • No account needed
  • Runs in your browser
Use it free

Pro

$5/mo

For regular users

  • Everything in Free
  • No ads
  • Save & name scenarios
  • Export to CSV & PDF
  • Multi-stage line builder
Use it free

Embed

$19/mo

For teams & sites

  • Everything in Pro
  • Embed the AI analyst on your site
  • White-label & API
  • Priority support
Contact

The AI analyst is and will stay free to use. Paid tiers only add embedding, saving and convenience.

Common questions.

What is a bottleneck, exactly?

The bottleneck is the slowest step in a process — the one station, machine or stage whose capacity caps the throughput of everything else. Improving any other step does nothing for the whole line until you relieve the constraint, which is exactly why the AI hunts for it first. The Theory of Constraints is built on this single idea.

How is this “AI” and not just a calculator?

Under the hood are the exact, trustworthy formulas — Little’s Law, OEE, PCE. The AI layer is what reads those results the moment they change: it finds the constraint across your stations, decides which input is dragging the number down, and writes a plain-language verdict and recommendation instead of leaving you a bare figure. You get the math you can trust and the interpretation you’d otherwise ask an analyst for.

Does my data leave my browser?

No. Every figure you type is computed and analysed locally in your browser — nothing is uploaded, nothing is stored, and there is no account. The AI read happens on your device, so your operating numbers stay yours.

How does the AI find my bottleneck?

Enter the capacity of each station and your demand. The station with the lowest capacity is your constraint, and the line cannot run faster than it — the AI flags it, caps the throughput accordingly, reads each station’s utilisation, and tells you precisely where adding capacity will pay off.

What counts as a good OEE or PCE?

For OEE, around 85% is considered world-class and 60% a common starting point, so anything well below 60% signals a real loss worth chasing — and the AI names which of availability, performance or quality is to blame. Process Cycle Efficiency is usually much lower: many processes sit under 25%, meaning most of the lead time is waiting rather than adding value.

Stop guessing where the line slows down.

Open the AI analyst, enter your numbers, and read the constraint with its fix — free, in your browser, in about ten seconds.

Open the AI analyst