From reactive firefighting to data-driven recovery
KENIS builds AI-powered tools that improve system visibility, identify operational gaps, and reduce manual troubleshooting, so support teams resolve problems faster and prevent them from coming back.
- Detect
- Diagnose
- Correct
- Recover
How it works
A closed loop from failure to recovery
- 01
Detect
Continuously watch interface traffic and operational data for failed, missing, or delayed messages.
- 02
Diagnose
Correlate events and history to surface patterns, recurring failures, and likely root causes.
- 03
Correct
Validate failed message data against master data and rules, and propose corrections for review.
- 04
Recover
Reprocess or upload approved corrections back into authorized systems, with a full audit trail.
Use cases
Where AI helps on the floor and in support
Interface message monitoring
Catch failed, missing, or stuck messages between WMS, the platform, and WCS before they affect the floor.
Recurring failure detection
Spot repeating errors by interface, SKU, equipment, or time of day.
Root-cause assistance
Give support teams context and probable causes instead of raw logs.
Data validation & correction
Check failed messages against master data and business rules, and suggest fixes.
Controlled reprocessing
Resubmit corrected messages to authorized systems with approvals and audit.
Dashboards & alerts
Real-time views of throughput, SLA risk, and open exceptions, with alerts to the right team.
Predictive congestion
Anticipate sorter overload, conveyor congestion, and dock bottlenecks so work can be re-routed early.
Predictive maintenance signals
Watch motor temperature, vibration, and current draw to raise maintenance tickets before failures.
Visibility
What we monitor
- Orders per hour
- Totes per hour
- Pallets per hour
- Robot utilization
- Sorter utilization
- Task age against SLA
Benefits
What changes for your team
- Less repetitive manual support work
- Faster root-cause analysis
- Earlier detection of issues
- Better operational visibility
AI with guardrails
AI recommends. Your team stays in control of what changes in production.
- People approve corrections before they reach live systems
- Access limited to authorized systems and roles
- Every AI suggestion and action is logged
- Reprocessed data is tracked end to end
Ready to integrate your warehouse stack?
Tell us about your WMS, WCS, and automation goals. We will help you find the right approach.