The supply plan balances. Your suppliers never agreed to it.

Replace MRP output nobody trusts with AI that plans supply against real supplier lead times, capacity and reliability — so the plan you publish is one that can actually be delivered.

$0
Send us one of your current supply plans See Praxie in Action Now Free pilot on your own supply data. You keep what we find.

AI supply planningfor supply planners and S&OP leaders

Praxie AI supply planning software interface.

Customer Success Stories

Dylan Hoback Dylan Hoback Accu-Tube
Manufacturing analytics

My Praxie analytics software transformed our operations, enabling data-driven decisions and streamlining our manufacturing process.

Jason Carpenter Jason Carpenter Environmental Pest Management
Operational visibility

With Praxie, I found a way to take what was in documents and spreadsheets and provide my team with a visual application environment to drive our strategy with full accountability.

Elizabeth Pridham Elizabeth Pridham Perfection Fresh
Digital transformation

Praxie dramatically improved our process through digital transformation. We now have visibility and can drive decisions at a fraction of the time.

Scott Russell Scott Russell NUCOR Vulcraft
Innovation management

I would heartily recommend the Praxie team to any organization seeking to seriously undertake a lasting and successful innovation process.

Mike Bainbridge Mike Bainbridge Dover Food Retail
Daily management

Our MFG Ops application greatly improved our daily management initiatives. It is easy to see how we are doing, identify issues, and track improvements—no matter where we sit.

Jeff Piotrowicz Jeff Piotrowicz ChemLink
Project visibility

With Praxie we've created a way to report on complex projects that gives management full visibility. Executives have visibility to projects, assignments, and more at their fingertips.

Maureen Thompson Maureen Thompson American Nurses Association
Strategic execution

Our Praxie App makes it easy to track progress on strategic objectives across the organization and includes an executive-level dashboard with real-time reports to the board on key initiatives.

Tom Anderson Tom Anderson Springfield Armory
Production management

Praxie is used every day to track and analyze every aspect of production, quality, safety, and more. We improved quality by 10%.

Peggie Pelosi Peggie Pelosi Innovators Alliance
Custom innovation solution

Almost overnight, Praxie created a customized solution for our 100 member organizations across Canada to drive strategy and innovation.

Kate Merton Kate Merton Anthem
Custom applications

Praxie's innovation solution stood out from other options because it can be customized so quickly to fit our exact process requirements. Plus, it is incredibly easy to use and manage.

ALGAL ANA Anthem Atlas Copco Barloworld Bioray Biotix Blue Triton Dover Grosvenor INX Jiffy Lube Jireh Metal Johnson & Johnson KPMG Kydex Mott NextPower Novozymes Nucor Panasonic PLP PVH Roche Safety Padding Silgan Southwire Springfield Armory Swisscom Swisslog Thoughtworks Tiara Yachts Twin Rivers Utz Wartsila ALGAL ANA Anthem Atlas Copco Barloworld Bioray Biotix Blue Triton Dover Grosvenor INX Jiffy Lube Jireh Metal Johnson & Johnson KPMG Kydex Mott NextPower Novozymes Nucor Panasonic PLP PVH Roche Safety Padding Silgan Southwire Springfield Armory Swisscom Swisslog Thoughtworks Tiara Yachts Twin Rivers Utz Wartsila

The system says it is feasible. Everyone plans around it anyway.

Running MRP was the easy part. Producing a plan your suppliers can actually meet is the job.

Your production manager

“The material was supposed to be here last week.”

Your buyers

“That lead time in the system has been wrong for a year.”

You

A balanced plan built on parameters nobody has reviewed since go-live.

You do not need a faster run. You need the plan to reflect what suppliers actually do — not what the master data says.

If you own supply

Is this your plan?

Most supply planners and S&OP leaders recognise at least four of these. If you recognise six, the rest of this page is written for you.

  • Lead times in the system do not match reality.
  • Planners keep private spreadsheets to correct the output.
  • Safety stock is set once and never revisited.
  • Supplier capacity is assumed to be infinite.
  • Exceptions are so numerous nobody reviews them.
  • The plan is republished weekly and ignored daily.
  • Expediting is the real planning mechanism.
  • “Can they actually deliver that?” is answered by phoning them.

None of this is a planning problem. It is a parameter reality problem.

Is this you?

Worked example — multi-supplier manufacturing operation

The plan used to assume the master data was true.

Assumed↓Observedwhere lead times and capacity come from

Thousands of parts, hundreds of suppliers, and planning parameters set at implementation and rarely reviewed since.

Because the plan was built on assumed lead times and infinite supplier capacity, planners corrected it privately — which meant the published plan and the real one were never the same document.

With AI planning against observed supplier performance rather than static parameters, the published plan becomes feasible, and the private spreadsheets stop being necessary.

Planning review, 9am

What you walk into the planning review with

Today

A plan nobody fully believes.

  • Built on unreviewed parameters
  • Corrected privately by planners
  • Supplier capacity assumed infinite
  • Expediting as the real mechanism
→

With Praxie

A plan that can be delivered.

  • Planned against observed lead times
  • Supplier capacity and reliability included
  • Exceptions few enough to review
  • One plan, not a public and a private one
ROI of Moving from Traditional Supply Planning to AI-Powered Supply Planning
Key ROI Elements
30–60%
Less Planning Effort

Fewer manual reconciliations, follow-ups, and spreadsheet updates.

10–25%
Higher Service Levels

Supply risks are detected earlier before customers are impacted.

10–30%
Lower Inventory Risk

Less excess, obsolete, stranded, and poorly positioned inventory.

15–35%
Fewer Shortages

Material constraints are identified before they disrupt production.

10–25%
Lower Expediting Cost

Fewer emergency buys, premium freight events, and supplier fire drills.

20–40%
Faster Scenario Planning

Teams compare supplier, inventory, and capacity options faster.

See Praxie in Action Now

Which part of your supply plan do you not actually believe?

How Praxie Compares for AI-Powered Supply Planning

Why MRP Output Gets Overridden

Spreadsheets &
Manual Supply Planning

  • Manual spreadsheet updates
  • Slow shortage response
  • Limited supply visibility
  • Higher risk of errors
  • Hard to scale across sites

ERP / MRP
Supply Planning

  • Connected to ERP/MRP data
  • Often rigid planning logic
  • Limited scenario flexibility
  • Slow to reflect supplier changes
  • Heavy IT dependency

Traditional
Supply Planning Tools

  • Stronger planning logic
  • Good inventory and supply views
  • Can be complex to configure
  • Often siloed from workflows
  • Higher rollout cost

Point
AI Tools

  • Useful for narrow analysis
  • Adds isolated forecasting or alerts
  • Limited end-to-end planning control
  • May require stitching tools
  • Less supplier and inventory context
★ BEST FIT

Praxie
AI-Powered Supply Planning

  • Flexible AI supply planning workspace
  • AI shortage and risk detection
  • Connects demand, inventory, suppliers & POs
  • Scenarios, alerts & workflow automation
  • Faster deployment, lower complexity
Supply planning flexibility
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✓
Shortage detection & response
–
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✓
AI-driven supply recommendations
–
–
–
◐
✓
Supplier + inventory context
–
◐
✓
–
✓
Speed to deploy
◐
–
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◐
✓
Ease of adapting to supply changes
–
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✓
Why Praxie
Stands Out
More flexible than rigid ERP/MRP planning
Far more automated than spreadsheets
Broader than point AI tools
Faster to deploy than heavy planning projects
AI-Powered Supply Planning FAQ

Questions Supply Planners Ask Us First

The objections we hear in the first 20 minutes — answered plainly.

1

How does AI actually improve supply planning — and can planners trust it?

Answer: The AI supports planner judgment by connecting demand signals, inventory, suppliers, lead times, purchase orders, BOM requirements, capacity, and shortage risks. Recommendations are explainable, so planners can see why an action is suggested and remain in control of final decisions.

2

How much manual spreadsheet work and firefighting does this reduce?

Answer: AI-powered supply planning reduces the repetitive work of reconciling ERP exports, inventory reports, supplier updates, purchase orders, and shortage lists. Teams spend less time chasing data and more time acting on the highest-priority supply risks.

3

What happens when supplier lead times, demand, or inventory positions change?

Answer: The system updates the supply picture and highlights what changed, which orders or materials are affected, and what actions are available. It can recommend options such as expediting, reallocating inventory, adjusting replenishment, using alternate parts, or changing supplier priorities.

4

Will this help identify shortages and supply risks earlier?

Answer: Yes. The AI continuously monitors supply constraints, supplier commitments, inventory exposure, purchase order status, and material availability to flag shortage risks before they disrupt production or customer commitments.

5

Can this help reduce both stockouts and excess inventory?

Answer: Yes. AI-powered supply planning helps teams see where inventory is too low, too high, or poorly positioned. It can recommend supply actions that balance service levels, working capital, supplier risk, and production feasibility instead of optimizing one metric in isolation.

6

How does this work with ERP, MRP, MES, purchasing, and supplier data?

Answer: AI-powered supply planning does not replace core systems. It acts as an intelligent planning layer that connects data from ERP, MRP, MES, purchasing systems, inventory records, supplier updates, and spreadsheets, then turns that data into exceptions, scenarios, recommended actions, and workflow follow-up.

7

Is this better than traditional MRP, ERP planning, or point AI tools?

Answer: Yes. Traditional systems are often strong at transactions and planning logic, but they can be rigid, slow to interpret, and disconnected from real-time exception management. Point AI tools may help with a narrow task, but Praxie’s approach connects supply context, AI recommendations, dashboards, alerts, scenarios, and workflows in one planning workspace.

Bottom line: AI-powered supply planning helps teams move from reactive shortage management to proactive, connected supply decisions that improve service levels, inventory health, and planner productivity.

Which part of the plan would you test first, if it used real lead times?

Send us one of your current supply plans. We’ll show you what Praxie would change — your parameters, your suppliers, your feasibility.

1Send us a plan230-minute review3Free pilot on your data
See Praxie in Action

No cost, no obligation — and you keep what we find either way.