Discuss your use case

Production planning agent for manufacturersSchedules built on
real material availability.

The ZeeHub production planning agent builds schedules around real material availability and ship dates, so the plant stops over-buying and over-building to stay safe.

$1.2M

of inventory freed up as working capital at a packaging manufacturer.

Multi-line

packaging plant, scheduled around real materials and ship dates.

Production scheduleSample data
This weekMaterialsShip dates
OrderLineMaterialShip dateStatus
O-2001Line 1In stockMonScheduled
O-2002Line 2In stockTueScheduled
O-2003Line 1Arrives WedThuAfter arrival
O-2004Line 3ShortFriNeeds approval
O-2005Line 2Not on orderFriMaterial needed
Illustrative screen with sample orders.

What the production planning agent does

It builds schedules that balance the things a planner has to juggle, using what is really available.

Lines
Balances work across production lines.
Materials
Plans around real material availability, not a safe guess.
Labor
Takes labor into account when it builds the schedule.
Ship dates
Builds the schedule around the ship dates you have to meet.

How it works, and who stays in control

Routine work runs on its own. A person approves anything that carries a cost or a customer.

Human approvalRules you set
Runs on its ownWaits for a person to approve
Routine work, within the rules you setAnything with a cost attached
Every action loggedAnything with a customer attached

Our rule on every deployment.

  1. It reads first

    Agents connect to your ERP, spreadsheets and inboxes without replacing any of them.

  2. You set what it may do

    You decide the rules before anything runs.

  3. Routine work runs on its own

    Anything with a cost or a customer attached waits for a person to approve.

  4. Every action is logged

    Who or what changed a plan, sent an email or filed a document, and when.

Proof from a packaging manufacturer

$1.2Mof inventory freed up as working capital.
One-timeworking capital release, not a recurring saving.

Packaging manufacturer, multi-line plant. Company name withheld under NDA. Reference calls on request. Read the case study

Fits the way you already work

The agent reads your data where it lives. Nothing is replaced.

Connects to your systems

SAP, Oracle, NetSuite, Microsoft Dynamics, Epicor, Sage, SharePoint, Excel and CSV, and email.

Built for manufacturers

Food, consumer and packaging manufacturers with $100M to $2B in revenue.

Secure by design

Hosted on Microsoft Azure in the United States. Access is through a read-only service account that you issue. Read the security details.

Production planning agent questions

What does the production planning agent do?

It builds schedules that balance lines, materials, labor and ship dates. It plans around real material availability and ship dates, so the plant stops over-buying and over-building to stay safe.

Does it replace our ERP?

No. ZeeHub agents connect to your ERP, spreadsheets and inboxes without replacing any of them.

Who approves what?

You set what the agent may do. Routine work runs on its own. Anything with a cost or a customer attached waits for a person to approve.

What result have you seen?

At a packaging manufacturer with a multi-line plant, the production planning agent freed up $1.2M of inventory as working capital. That is a one-time working capital release. The company name is withheld under NDA, and reference calls are available on request.

How does an engagement start?

With a six-week pilot: one workflow, one site, with the success metric agreed in writing before kickoff.

Where is our data hosted, and who can see it?

Customer data is hosted on Microsoft Azure in the United States and is never used to train AI models. Only the named ZeeHub engineers on a deployment can see that customer’s data. Details are on the security page.

Want the same result in your plant?

Pick one problem. We scope a six-week pilot around a number we agree on first.

Discuss your use case

Or email hello@zeehub.ai

  • One workflow, one site
  • Success metric agreed in writing before kickoff
  • A six-week pilot