Control tower visibility
Planners, hubs, and drivers share one event language while customers see policy-filtered status—not guaranteed precision.
LOGISTICS CONTROL TOWER
Logistics industry software
We design logistics control towers for planning, assignment, hub operations, in-transit events, delivery, and proof of delivery—with realistic mapping, device, and carrier boundaries.
Logistics control tower flow
Order request through proof of delivery and exceptions — event visibility without guaranteed real-time claims.
01 · Demand
Order or request
Intake from commerce, B2B, or manual dispatch desks.
02 · Control tower
Planning
Capacity, service levels, and route planning with provider limits.
03 · Dispatch
Assignment
Driver, courier, or carrier assignment with acceptance flows.
04 · Field + hub
Pickup
Pickup scans, manifests, and hub handoff.
05 · Hub ops
Warehouse or hub
Sort, stage, and cross-dock events.
06 · Visibility
In-transit events
Tracking pings, carrier milestones, and exceptions.
07 · Last mile
Delivery
Last-mile completion, COD collection boundary, and customer comms.
08 · Quality ops
Proof & exceptions
POD capture, failed delivery, and rework loops.
Workflow sequence: Order or request, then Planning, then Assignment, then Pickup, then Warehouse or hub, then In-transit events, then Delivery, then Proof & exceptions.
Select a logistics scenario to inspect users, workflow stages, events, assignment, visibility, exceptions, integrations, and reporting.
Select a logistics scenario to inspect users, workflow stages, events, assignment, visibility, exceptions, integrations, and reporting.
Scenario
Urban delivery with POD.
Who the system must serve — and what each role needs from the workflow.
Customers and consignees
Accurate status, ETA boundaries, and delivery proof access.
Dispatchers and planners
Assignment boards, exception queues, and SLA visibility.
Drivers and field staff
Mobile task lists, scans, offline-tolerant flows where required.
Warehouse and hub teams
Inbound/outbound scans, staging, and inventory of in-flight shipments.
Operations leadership
Dashboards, carrier scorecards, and audit trails—not guaranteed ETAs.
Illustrative platform shapes — not a guaranteed delivery catalog.
Real-time boards for assignment, exceptions, and hub coordination.
Driver apps, POD capture, and customer notifications.
Vehicle tasks, maintenance hooks, and compliance document boundaries.
Scan events, manifests, and cross-dock workflows.
Tracking pages and notification preferences with carrier data caveats.
Operational building blocks that typically compose the platform.
Unified shipment IDs from intake through POD.
Rules-based assignment with manual override and audit.
Stops, scans, signatures, and photo POD.
Normalized events from devices, hubs, and carriers.
Reason codes, reattempt scheduling, and customer comms.
SLA, on-time, and exception analytics with agreed definitions.
Planners, hubs, and drivers share one event language while customers see policy-filtered status—not guaranteed precision.
Driver experiences use React Native, Flutter, or Firebase mobile patterns when offline or device features matter.
Integrations inherit carrier and map limitations—we document where ETAs and routes are estimates only.
External systems are contracted edges — not assumed magic connections.
Routes and ETAs are estimates; optimization not guaranteed.
Status quality depends on carrier data and connectivity.
Acknowledged order intake with retry and idempotency.
Device accuracy and battery affect event fidelity.
Cash-on-delivery collections via defined settlement flows.
Lane and carrier metrics with operator-defined thresholds.
Failed delivery reasons and reattempt success.
Scan rates, dwell time, and backlog alerts.
Useful where review loops exist — never presented as automatic accuracy.
Suggest likely failure causes for dispatcher review.
Boundary: Dispatchers confirm actions; not autonomous dispatch.
Draft status updates from event timelines.
Boundary: ETAs are estimates; messages require ops approval if sensitive.
Classify POD photos for quality checks.
Boundary: Human review for disputed deliveries.
Device binding, session timeouts, and least privilege for drivers.
Expose only necessary consignee details to field roles.
Log manual changes to routes and assignments.
Step 01
Map hubs, carriers, mobile needs, and event sources.
Step 02
Define shipment IDs, scans, map/carrier boundaries.
Step 03
Launch dispatch + driver app or visibility portal first.
Step 04
Offline scenarios, carrier webhook gaps, and POD disputes.
Design against operational reality — not slideshow perfection.
Customers see in-transit while delivery failed.
MitigationEvent ordering, carrier acks, and exception automation.
Two dispatchers assign the same driver.
MitigationOptimistic locking and assignment audit.
Missing signature or photo evidence.
MitigationRequired capture rules and tamper-evident timestamps.
No. Routes and ETAs depend on mapping providers, traffic, devices, and carrier data—we engineer for visibility, not guaranteed optimization.
Yes, using React Native, Flutter, or Firebase mobile platform patterns when field capture and notifications require native UX.
No. Real-time accuracy depends on connectivity, device battery, and carrier event quality.
Yes, through explicit provider contracts with documented limitations on ETA and route quality.
Many networks start with dispatch plus driver tasks or a customer visibility portal, then expand warehouse and fleet modules.
Describe your hubs, fleet, and carrier mix—we will map event models and integrations without route or delivery guarantees.
Discuss your industry workflow