Use cases · Operations

Fix the cause of a late delivery, not the symptom.

Your OTIF rate is below target, or it swings from week to week. The weekly report says it slipped. It does not say which part of the chain to fix.

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Why it is hard today.

Orders, shipments and stock sit in different systems, and the manual workarounds sit outside all of them. By the time a failure is visible in a dashboard, the truck has already left.

Most reporting attributes a miss to the last step that touched it. The cause is usually further upstream, in a supplier, a route or a plant that has been drifting for weeks.

How Ergodic helps.

01

Hold the chain

Every supplier, route, site and order is held with what depends on it, built from the systems you already run.

02

Work back to the cause

A missed delivery is split into the carrier, dispatch and production shortfalls behind it, each with its share and its evidence.

03

Test the fix

Each candidate fix is simulated forward against the same picture, so you can see what it recovers before you commit.

A cause tree for a service failure: carrier capacity and dispatch delays on one branch, production shortfall and transit losses on another, each carrying its share of the units missed.
A service failure split into the shortfalls that produced it, each with its share.

Results.

From delivered projects with enterprise customers.

Supply chain · reporting

Hidden losses found

Failures traced across siloed ERP, warehouse and manual data, back to the cause.

$270M in hidden annual losses found
$30M ready to recover

What you get.

Cause

The branch to fix, with evidence

Service

Failures caught before the date

Time

Less firefighting each week

Talk to an expert about your OTIF.

Bring a decision. We'll discuss how to model it and what data a simulation would need.

Talk To An Expert