Dylan Hoback
Accu-Tube
My Praxie analytics software transformed our operations, enabling data-driven decisions and streamlining our manufacturing process.
You are carrying too much inventory. You are also out of stock.
Replace blanket safety stock rules with AI that sets policy per part from real demand variability and supplier reliability — so cash stops sitting in the wrong items while the right ones run out.
$0
Send us your current stock and demand history
See Praxie in Action Now
Free pilot on your own inventory data. You keep what we find.
AI inventory managerfor inventory and supply chain leaders
Customer Success Stories
Dylan Hoback
Accu-Tube
Jason Carpenter
Environmental Pest Management
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
Perfection Fresh
Praxie dramatically improved our process through digital transformation. We now have visibility and can drive decisions at a fraction of the time.
Scott Russell
NUCOR Vulcraft
I would heartily recommend the Praxie team to any organization seeking to seriously undertake a lasting and successful innovation process.
Mike Bainbridge
Dover Food Retail
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
ChemLink
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
American Nurses Association
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
Springfield Armory
Praxie is used every day to track and analyze every aspect of production, quality, safety, and more. We improved quality by 10%.
Peggie Pelosi
Innovators Alliance
Almost overnight, Praxie created a customized solution for our 100 member organizations across Canada to drive strategy and innovation.
Kate Merton
Anthem
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.
Both complaints are true at the same time.
Holding stock was never the hard part. Holding the right stock, in the right items, is the job.
“Why is this much cash sitting in the warehouse?”
“We stopped the line for a part worth four pounds.”
A safety stock rule applied to every part, suiting almost none of them.
You do not need less inventory. You need it in the right items — set from how each one actually behaves.
If you own inventory
Is this your warehouse?
Most inventory and supply chain leaders recognise at least four of these. If you recognise six, the rest of this page is written for you.
- One safety stock rule is applied across very different parts.
- Slow movers hold months of cover while fast movers run out.
- Reorder points were set years ago and never revisited.
- Excess and obsolete stock is reviewed annually at best.
- Nobody separates demand variability from supplier unreliability.
- Service level targets are set per site, not per part.
- Stock accuracy is good but the policy is wrong.
- “Why do we hold so many of those?” has no good answer.
None of this is a stock accuracy problem. It is a policy problem.
Is this you?
Worked example — multi-site inventory operationOne rule used to be applied to every part.
One rule↓Per parthow inventory policy is set
Tens of thousands of SKUs, one safety stock formula, and reorder points set at implementation.
Because the same policy covered parts with completely different demand patterns and supplier behaviour, the business was simultaneously overstocked and short — and both complaints were legitimate.
With policy derived per part from actual demand variability and supplier reliability, cover concentrates where it protects service and releases where it was only ever tying up cash.
Stock review, 9am
What you walk into the stock review with
Today
Too much and not enough.
- One rule across very different parts
- Reorder points set years ago
- Variability and unreliability conflated
- Excess reviewed annually
→
With Praxie
Cover where it actually protects service.
- Policy derived per part
- Demand variability separated from supplier risk
- Reorder points that move with behaviour
- Excess surfaced as it builds
Key ROI Elements
60%
Less Time Managing Inventory
Manual updates, reconciliations, and spreadsheet reviews drop dramatically.
25%
Lower Excess Inventory
Inventory levels align more closely to actual demand and usage.
30%
Fewer Stockouts
Better forecasting and alerts reduce material shortages.
20%
Lead Time Improvement
Earlier supplier risk visibility supports faster action.
Less
Working Capital Tied Up
Cash is freed by reducing excess, obsolete, and slow-moving stock.
Higher
Service Levels
More reliable material availability improves production and customer commitments.
See Praxie in Action Now
Which items are you overstocked on while still having shortages?
Now select a day and time below.
Why Blanket Safety Stock Rules Fail
Spreadsheets &
Manual Counts
- Manual inventory updates
- Slow cycle counts
- Limited stock visibility
- Higher risk of stockouts
- Hard to maintain accuracy
ERP / MRP
Inventory Modules
- Connected to core transactions
- Often rigid item workflows
- Limited predictive insight
- Slow to customize
- Heavy change management
Traditional
WMS Tools
- Strong warehouse execution
- Good receiving and picking
- Can be complex to deploy
- Often warehouse-specific
- Less focused on AI decisions
Point
AI Tools
- Useful for narrow predictions
- Adds isolated automation
- Limited operational context
- May require stitched systems
- Less end-to-end control
★ BEST FIT
Praxie
AI-Powered Inventory
- Flexible AI inventory workspace
- Real-time stock visibility
- Connects ERP, WMS, MES, demand & suppliers
- Alerts, dashboards & workflow automation
- Faster deployment, lower complexity
Inventory visibility
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✓
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✓
Real-time replenishment
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✓
✓
AI-driven recommendations
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✓
✓
Cross-functional workflow support
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✓
Speed to deploy
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✓
Ease of adapting to change
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✓
Why Praxie
Stands Out
Stands Out
More flexible than rigid ERP inventory modules
Far more automated than spreadsheets and manual counts
Broader than narrow AI forecasting or reorder tools
Faster to deploy than heavy WMS transformation projects
Questions Inventory Leaders Ask Us First
The objections we hear in the first 20 minutes — answered plainly.
1
How does AI improve inventory management — and can I trust the recommendations?
Answer: The AI analyzes demand signals, supplier performance, lead times, stock levels, usage patterns, and exceptions to recommend smarter reorder points, safety stock levels, and replenishment actions. Recommendations are explainable, so teams can see why inventory changes are suggested and stay in control.
2
Will this help reduce stockouts and excess inventory at the same time?
Answer: Yes. AI-powered inventory management helps balance service levels and working capital by identifying where inventory is too low, too high, slow-moving, obsolete, or at risk. Instead of relying on static rules, the system adapts as demand, lead times, and supply conditions change.
3
How much manual tracking, spreadsheet work, and expediting can this eliminate?
Answer: A significant amount. The AI automates inventory monitoring, exception detection, reorder recommendations, shortage alerts, and prioritization, helping teams spend less time reconciling spreadsheets and more time acting on the inventory issues that matter most.
4
What happens when demand, supplier lead times, or production priorities change?
Answer: The system continuously recalculates inventory risk and recommended actions. When demand spikes, lead times slip, or production priorities shift, the AI flags the impact, updates replenishment recommendations, and helps prevent shortages before they disrupt operations.
5
Is this better than spreadsheets, ERP inventory reports, or standard min/max settings?
Answer: Yes. Spreadsheets and static ERP reports often show what happened after the fact. AI-powered inventory management is more dynamic, predictive, and exception-driven, giving teams live visibility into inventory risk, root causes, and recommended next actions.
Bottom line: AI-powered inventory management helps teams reduce shortages, lower excess stock, and make faster replenishment decisions without giving up control.
Which items would you re-policy first, if it took minutes?
Send us your current stock and demand history. We’ll show you what Praxie would change — your parts, your cover, your service levels.
1Send us your data230-minute review3Free pilot on your data
See Praxie in Action
No cost, no obligation — and you keep what we find either way.