Request a Flow Analysis
Request a Flow Analysis

AI Capabilities

Manufacturing Intelligence

AI that understands your factory — grounded in manufacturing physics.

Trooba Flow combines AI with queueing theory and factory-flow mathematics, so every explanation, prediction and recommendation is checked against how work actually moves.

  • AI Propose
  • Model Validate
  • Better Decisions

AI proposes. The model validates.

Factory flow overview: lead time, WIP, bottlenecks and on-time delivery projected across an automated production line.
01

Understand your factory

Connect demand, routings, equipment, labour, variability, utilisation, queues and WIP into one model of how the factory actually behaves.

The AI reads the factory the way the model does.

Factory flow at the centre, connected to demand, routings, equipment, labour, variability, utilisation, queues and WIP. Select a factor to see how it enters the model. Factory Flow Demand Routings Equipment Labour WIP Queues Utilisation Variability

02

Explain the problem

The AI answers the questions operations teams actually ask — against the model, not against a generic prompt.

Lead time breakdown: processing 2.2 days, waiting 6.2 days. Illustrative. Lead time breakdown Processing 2.2 d Waiting 6.2 d Move
Bottleneck analysis: Assembly at 91 percent, Welding 74 percent, Painting 68 percent. Illustrative. Bottleneck analysis Assembly 91% Welding 74% Painting 68%
WIP accumulation rising toward 2,150 units over twelve weeks. Illustrative. WIP accumulation 2,150 now +12 w
Queue time against utilisation. Short at 74 percent, several times longer at 91 percent. Illustrative. Queue time vs utilisation 74% 91%
03

Predict what happens next

Test a change in demand or mix and see where queues and constraints move before they show up on the floor.

  • What if demand rises 20%?
  • Where does the next bottleneck appear?
  • How do queues build over the next weeks?

Five-operation routing. Assembly is the next bottleneck. Queue grows further at plus 20 percent demand. Illustrative. Cutting 62% Welding 74% Assembly 91% Painting 68% Packing 62% Next bottleneck Constraint under +20% demand Queue build-up now +10 weeks

Current demand vs +20% demand. Illustrative model.

04

Recommend and test improvements

Evaluate changes to lot sizes, capacity, routings, labour, shifts and manufacturing cells before anything moves on the shop floor.

  • Lot sizes
  • Capacity
  • Routings
  • Labour, shifts and cells

Improvement scenario: reduce lot size

Metric Current state Simulation result Impact
Lead time Current state 8.4 d Simulation result 5.1 d Impact −39%
WIP Current state 1,240 Simulation result 750 Impact −40%
Queues Current state 6.2 d Simulation result 2.9 d Impact −53%

Illustrative model output. No added capacity.

More than an AI assistant

Grounded in the model. Not in a generic prompt.

Most AI tools summarise what already happened. Trooba is grounded in a quantitative model of factory flow, so the AI can explain, predict and recommend against the same measures the plant already uses.

Complex mathematics underneath. Simple decisions on top.

Three overlapping flow series. The selected measure is drawn in teal.

WIP = TH × CT

Wq ≈ (ρ√(2(m+1))−1 / m(1 − ρ)) · ((Ca² + Cs²) / 2) · te

Little’s Law and Allen–Cunneen. The AI explains the model. The mathematics grounds it.

See how work really flows through your factory.

Share a small set of factory data and see where queues, bottlenecks and hidden capacity are affecting performance.

Request a Flow Analysis