Combine shipment, warehouse and network signals into a control tower with exception queues, ownership workflows and drill-down context, built for daily ops response, not static reporting.
Who this is for
3PL and shipper control teams managing multi-source visibility
Operations leaders coordinating transport, warehouse and customer commitments
Customer service groups needing one context for at-risk shipments
Organizations with dashboard experience ready for exception-led operations
What this solves
- 01
Siloed views for transport, warehouse and customer service teams
- 02
Exceptions discovered too late to protect SLAs
- 03
Manual escalation across shifts, regions and functions
- 04
No shared priority list for what needs action now
What we can build first
Network-wide KPI and exception summary boards
Prioritized queues for delays, missing updates and cut-off risks
Assignment, escalation and resolution workflow tracking
Drill-down to shipment, warehouse, carrier and customer context
Playbook links and notes for repeat exception types
Leadership views with trend overlays and open exception aging
How 4RTY helps
Process mapping
Product design
UX and UI
Technical architecture
Development
Integrations
Launch support
Documentation
Systems we integrate with
Delivery & scale path
MVP
Start with a focused release
- Network-wide KPI and exception summary boards
- Prioritized queues for delays, missing updates and cut-off risks
- Assignment, escalation and resolution workflow tracking
- Drill-down to shipment, warehouse, carrier and customer context
Scale
Expand after launch
- Playbook links and notes for repeat exception types
- Leadership views with trend overlays and open exception aging
FAQ
Common questions
How is a control tower different from a standard logistics dashboard?
A control tower combines live visibility, exception prioritization and workflow ownership. Not not just KPI charts. It is built for same-shift operational response.
Can a control tower cover both transport and warehouse operations?
Yes. Many 4RTY projects unify shipment and warehouse signals when leaders need one view of service risk across the network.
Do we need a visibility platform first?
Often yes. Reliable event normalization makes control tower rules trustworthy. Some programs build both in phased releases from the same data layer.
How do you prevent alert fatigue?
Discovery defines exception types, thresholds and ownership before UI build, with with tuning loops based on queue volume and resolution metrics.