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Supply chain agent

Your production planning AI agent

Finite schedules that hold up to real constraints — and re-plan in minutes when reality changes on the floor.

meet the production planning agent

What the production planning agent does on its own

Claude responded: The Production Planner Agent runs your finite scheduling layer continuously — sequencing orders against real constraints, minimizing changeover loss, and re-pl…

Runs your finite scheduling layer continuously — sequencing orders against real constraints, minimizing changeover loss, and re-planning in minutes when the floor changes — so your schedulers spend time on the floor, not in spreadsheets. Every guardrail is yours, configured to match how your plant already operates.

learn

Tracks

 

reads

Decides

 

decides

Acts

 

acts

Escalates to human

 

what your team gets back

More output, less waste, schedules that actually hold

 

01

Finite schedules that stay current

Every machine, material, and labor reality respected — updated continuously, not on a weekly batch cycle.

02

Changeover loss reduced automatically

Orders sequenced to minimize changeover time and cleaning within campaign and customer-commitment rules.

03

Re-plan in minutes, not hours

Machine down, materials short, expedite in — the agent re-plans immediately and flags only what needs a human decision.

04

Exceptions surfaced with trade-offs visible

Quality holds, scrap, unplanned downtime — absorbed where possible, escalated with options when not.

05

Attainment tracked in real time

Schedule attainment, throughput, and changeover loss tracked live. End-of-shift summaries generated automatically.

how it works

From floor event to finite schedule in minutes

Layer 1

Inputs

ERP orders and routings, materials availability, labor schedules, quality holds, and historian data.

Layer 1

Logic

Constraint model, sequencing, changeover optimization, policy check, publish or escalate, continuous re-plan on floor events.

Layer 3

Acts

Finite schedule published to MES, orders released, shift plans adjusted, attainment reports generated.

Layer 4

Human checkpoints

Customer-impacting delays, overtime authorization, line swaps, and anything outside floor authority.

from data to decision to done

Your rules, your authority, full visiblity

Full auditability and control, built in from day one.

  • Every schedule change logged: trigger, alternatives, and chosen path
  • Lock orders, lines, or windows during audits or ramps
  • Configurable authority by shift, line, and customer
  • Inside the rules, the agent acts. Outside them, you approve
Integrations

Connects to your stack without replacing it

Retently

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Qualaroo

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Recurly

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PostHog

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LinkedIn Ads

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Mailgun

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Iterable

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Google Sheets

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real customer outcomes

Real results from real manufacturing plants

Trusted by plant managers and schedulers who’ve moved from spreadsheet re-planning to continuous finite scheduling. 

“Athena transformed our decision-making process. What once took hours now happens in minutes — with accuracy and reliability we didn’t have previously. Athena’s proactive insights ensure our teams stay informed, enabling faster action to mitigate risks and maintain production flow.”

Senior Supply Chain Leader
Saved per week
0 hrs
Fewer production line stoppages
0 %
Quicker decision cycles
0 %
Trusted by Supply Chain Leaders
Ashok LeylandBrock Air Products, IncCM BuckDaimlerExtract ProductionHOS Global FoodsJCBLeader PromosMedtritionMidway Industrial SupplyMothersonNassau ProvisionsNutmeg Spice CompanyOrthoFeetRiley SalesSK SalesWinston Products
How it compares

How it stacks up against the alternatives

vs. APS alone

APS gives you a scheduling engine. The Production Planner Agent runs it continuously against live floor reality and handles exceptions APS isn’t built to react to. Most organizations run them together.

vs. spreadsheet scheduling

Spreadsheets don’t react to live data, optimize changeovers at scale, or survive a scheduler taking a week off. The agent does all three.

vs. doing nothing

Every re-plan hour is a scheduler off the floor. Every missed sequence is changeover waste. We baseline your attainment during setup so improvement is measured in your numbers.

Still have questions?

Everything you need to know before you get started.

How long does implementation take?

Typical pilot is 6–8 weeks per line: 2 weeks of system integration, 2 weeks of constraint and policy setup, 4 weeks of shadow mode before the agent goes live on the shop floor.

Every schedule version is preserved — reverting to a prior version is one click. Inside policy guardrails the agent operates autonomously; outside policy it proposes, humans approve. 

No — it removes the spreadsheet rebuilding so schedulers spend time on the floor, on constraint conversations, and on continuous improvement work that actually needs them. 

Every schedule version is saved — reverting to a previous version is one click. Inside your configured rules the agent works on its own; outside those rules it proposes options and waits for your approval.

Still have questions?

A 30-minute demo answers them faster than any FAQ.