Why meat processors choose Cleavr
Cleavr is meat processing workflow software built to connect orders, production, traceability, billing, and customer communication from intake to invoice.
What changes when everything works together
Instead of jumping between spreadsheets and isolated systems, see how your plant operates when Cleavr connects the workflow.
Before
- Separate tools for orders, fabrication, and billing
- Manual entry at the end of a step
- Guesswork on order status
- Hand-offs by phone or hallway
- Frequent label errors and reprints
- Cutting and packing mistakes eat into margins
- Training that takes weeks
- Customers call for updates
- Bottlenecks discovered too late
After
- Unified workflows in one connected platform
- Data captured instantly with each scan
- Real-time visibility across every stage
- Auto-routed tasks with clear ownership
- Auto-generated, traceable labels
- Verification reduces errors
- Step-by-step guidance on screen
- Live status and proof of results
- Alerts surface issues before they stall production
This is what it looks like in production.
Time saved per order
11.25 minutes saved per order
93.75% reduction in processing time
Before
minutes
After
minutes
Processing capacity
16x more orders per day
1,500% increase in throughput
Before
/day
After
/day
Turnaround time
Median reduced by 9 days
From 21 days to 12 days
Before
days
After
days
Meat processing workflow software built for the way you work
Cleavr brings each part of production into one connected workflow. From scheduling and scanning to traceability, billing, and customer updates, teams can see what is happening and what needs to happen next.
Connected workflows
Your entire operation, linked and live
Cleavr tracks work as it happens. As a result, every carcass, cut, and box stays connected through scan-based data and role-aware screens. Meanwhile, each department can see what comes next, so fewer steps get lost in translation.
Key benefits
Species-specific handling – Tailored workflows for beef, pork, and wild game.
Smart scheduling – Tasks queue automatically based on workload and completion time.
Instant traceability – Every scan builds your compliance record automatically.
Real-time coordination – Alerts, priorities, and progress update across the entire floor.
For example, if you’re preparing for deer season, use our wild game processor pre-season checklist to identify workflow gaps before opening weekend.
Mobile operations
Built for the floor, not just the office
Because work moves fast, Cleavr moves with it. That means the same clean interface works across tablets, phones, and desktops, so anyone can log in, scan, and keep production moving without special setup or lengthy training.
Key benefits
Runs smoothly on any connected device
Offline capture and automatic resync
Glove-friendly layouts and clear prompts
Simple navigation for quick onboarding
Accuracy and compliance
Accuracy by design
Each scan tells the story of your product from tag to box. Along the way, Cleavr captures IDs, weights, temperatures, and handlers as work happens. As a result, teams rely less on manual logs and reduce missed entries.
Key benefits
Automated record-keeping for audits
Traceable from carcass to shipment
Zero duplication or data loss
Looking for federal requirements? Review the USDA FSIS labeling and label approval resources.
Customer transparency
Clarity that builds trust
Customers can see their orders progress, view yields and packaging details, and receive accurate invoices. As a result, processors can reduce back-and-forth while giving customers clearer proof of what they are paying for.
Key benefits
Live order tracking for customers
Automated billing based on verified data
Instant proof of results and packaging details
Results in action
Measurable gains you can count on
Ultimately, better visibility across the workflow helps processors:
Improve production efficiency by 20%+
Cut turnaround times nearly in half
Save over $200K annually from error prevention
Scale daily throughput without extra labor
(Conservative minimums based on verified real-world data.)