ZeeHubProduction planning
Schedules that balance lines, materials, labor and ship dates.
$1.2Mof inventory freed at a packaging manufacturer
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The AI operations platform for mid‑market manufacturersThe conductor for your factory.
ZeeHub bridges your ERP, spreadsheets, and supplier emails with AI agents that automatically plan, chase, and process manual tasks.
Operational today across production planning, logistics, and EPR compliance, with executive advisory to map your next automation win.
Or email hello@zeehub.ai
Plant briefTuesday, 7:00 AM
| Area | What ZeeHub did | Impact |
|---|---|---|
| Production | Rebuilt Line 3 around a late resin delivery | Order ships on time |
| Logistics | Consolidated Thursday’s loads | $1,850 freight saved |
| EPR | Chasing tray supplier for recycled content, day 2 | Report stays on track |
| Production | Proposes moving a changeover to second shift | 3 hrs of line time back |
1 decision needs youReviewApprove
Small ops teams. Big‑plant complexity.
Your orders are in the ERP, your real schedule is in a spreadsheet, and supplier updates are buried in email.
Planners hold it together by hand, where a single missed date costs real margin.
Three agents live today. Start with one.
One shared data layer, so every new agent goes live faster.
Logistics
Loads, carriers and shipping paperwork, planned around cost and deadlines.
$600K a yearsaved at one manufacturer
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EPR and compliance
Supplier packaging data, checked and ready for every EPR state.
100+ supplierslive in six weeks
See EPR compliance
Next on the platform: supplier documents beyond EPR (certificates, COAs), procurement follow-up, order handling.
Deployed in real plants
Packaging manufacturer, multi-line plant
Production planning agent
Builds schedules around real material availability and ship dates, so the plant stops over-buying and over-building to stay safe.
$1.2Mof inventory freed up as working capitalOne-time working capital
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Packaging manufacturer, plants in the US and Mexico
Logistics agent
Plans loads, pallets, carriers and cross-border timing, and produces the shipping paperwork for every load.
$600Ka year saved in logistics costsRecurring annual savings
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Food manufacturer, 100+ packaging suppliers
EPR agent
Chases every supplier for packaging specs, checks each document and keeps the state reports current.
$314Kin fee and penalty exposure removedEstimated exposure reduction
Read the case study
Company names withheld under NDA. Read the case studies or ask for a reference call.
See one workflow, start to finish
Logistics load planning: from the orders arriving to the audit record. Click through the five steps.
Open ordersERP export, Tuesday 6:00 AM
| Order | Customer | Ship by | Pallets | Destination |
|---|---|---|---|---|
| SO-1041 | Customer A | Thu | 14 | Monterrey, MX |
| SO-1043 | Customer B | Fri | 10 | Monterrey, MX |
| SO-1044 | Customer C | Wed | 22 | Dallas, TX |
| SO-1046 | Customer A | Thu | 8 | Laredo, TX |
Constraints: dock 2 open 7:00 AM to 3:00 PM, 26 pallets per trailer, cross-border loads need customs paperwork.
Orders and constraints come in from the ERP or a spreadsheet. Nothing is re-keyed.
Proposed load plan4 orders into 3 loads
| Load | Orders | Pallets | Pickup | Status |
|---|---|---|---|---|
| Load 1 | SO-1041 + SO-1043 | 24 of 26 | Thu 9:00 AM | Needs approval |
| Load 2 | SO-1044 | 22 of 26 | Wed 8:00 AM | Routine, scheduled |
| Load 3 | SO-1046 | 8 of 26 | Thu 1:00 PM | Routine, scheduled |
Ship separately2 trucks to Monterrey, $3,900 freight. SO-1043 arrives a day early.
Consolidate (recommended)1 truck, $2,450 freight. Both orders still arrive before their ship-by dates.
The agent builds the loads and shows the tradeoff on every choice that costs money: freight on one side, delivery deadline on the other.
Load 1, MonterreyWaiting for a planner
| Check | Result |
|---|---|
| Ship-by dates | Both orders on time |
| Trailer capacity | 24 of 26 pallets |
| Freight cost | $2,450 attached, so a person approves |
Planner reviews and approvesChangeApprove
Routine loads go ahead on their own. Anything with a cost or a customer attached waits for a person.
Plan releasedTuesday 8:15 AM
| Load | Pickup | Shipping paperwork | Status |
|---|---|---|---|
| Load 1 | Thu 9:00 AM | 6 documents, including cross-border paperwork | Ready to send |
| Load 2 | Wed 8:00 AM | Generated | Ready to send |
| Load 3 | Thu 1:00 PM | Generated | Ready to send |
Once approved, the plan goes out and the paperwork for every load is produced from the same data.
Activity logTuesday
| Time | Who | What |
|---|---|---|
| 6:02 AM | Agent | Imported 4 open orders from the ERP export |
| 6:04 AM | Agent | Proposed 3 loads; Load 1 held for approval (freight cost) |
| 6:04 AM | Agent | Scheduled Loads 2 and 3 (routine) |
| 8:15 AM | Planner | Approved Load 1 consolidation |
| 8:15 AM | Agent | Released plan and generated paperwork for 3 loads |
Every step is recorded: what the agent proposed, who approved it, what was produced, and when.
Can AI actually boost your plant’s bottom line?
Our AI Advisory Week gets you an ROI roadmap in 7 days. We spend a week with your leadership team, find where AI would actually move the numbers, and put a dollar value on each.
Map
Walk your plants, lines, lanes and suppliers. Find where time and money leak.
Rank
Every AI idea, yours and ours, gets a dollar value and a cost.
Decide
The two or three worth doing, costed, with a build, buy or skip call on each.
$15–20Min AI savings opportunities identified for a $1B-revenue company
1 weekOne-page plan with numbers
How we work
Every engagement starts on your floor, not in a demo.
Discovery
We map the process with your team.
Put a number on it
Agree on the dollar value first.
Six-week pilot
One agent, your real data.
Go live and expand
Then add the next agent.
Your six-week pilot
- Included
- One workflow, one site.
- Data we need
- Read access to the systems behind the workflow: your ERP, spreadsheets or supplier inboxes.
- Success metric
- Agreed in writing before kickoff.
- Guarantee
Covers: if the pilot doesn’t show the number we agreed on, you don’t pay for it.
- Permissions
Agents can read: your ERP, spreadsheets and inboxes, read-only to start.
Agents can write: only the actions you allow.
Needs human approval: anything with a cost or a customer attached.
- Data handling
How we connect, store and log: Integration and security
Agents work inside your rules
They read first
Agents connect to your ERP, spreadsheets and inboxes without replacing any of them.
You set what they may do
Routine work runs on its own. Anything with a cost or a customer attached waits for a person to approve.
Every action is logged
Who or what changed a plan, sent an email or filed a document, and when.
- SAP
- Oracle
- NetSuite
- Microsoft Dynamics
- Epicor
- Sage
- SharePoint
- Excel and CSV
- Supplier email
Why ZeeHub
Mid-market plants run on lean teams and old systems, and they can’t hire their way out of it. We think the fix is agents that do the routine work inside those systems, and a partner who sits on the floor until the number shows up.
Founder-led
Shekhar Nirkhe, 25+ years in software and 10+ in AI, built products at Meta, eBay and Coinbase. Hands-on with every deployment.
Advised by operators
A manufacturing CIO and a senior director of supply chain keep the agents grounded in how plants actually run.
Backed and supported by
Alchemist Accelerator and Microsoft for Startups.
Built for food, consumer and packaging manufacturers with $100M to $2B in revenue.
Pick one problem. We’ll show results in six weeks.
Schedules, shipping or compliance.
Discuss your use case
Or email hello@zeehub.ai