Werebuildlogisticsoperationsasautonomoussystems.
Replace manual dispatch, carrier selection, and tracking workflows with AI-driven infrastructure that routes, executes, and optimises in real time.
Built for logistics teams that have outgrown spreadsheets, SOPs, and disconnected tools.
Yourlogisticsoperationsarebottlenecked.
Every logistics operator we audit shares the same failure shape. It's not tech debt — it's the absence of a system where a system should be.
Manual dispatch delays
→ Orders sit 6–24 hours before routing. Ops staff triage inboxes, match to carriers, then re-key bookings into portals.
Carrier selection inefficiency
→ Static spreadsheet rules decide who carries what. No dynamic optimisation on cost, capacity or transit time.
Fragmented tracking
→ Data scattered across carrier portals, emails and screenshots. No real-time visibility, no single shipment state.
Hiring dependency
→ Growth requires proportional headcount. Peak season = temps on rate-shopping, not engineering throughput.
Error-prone workflows
→ Address mistakes, misroutes, missed SLAs, lost labels. Every human hop is a failure surface.
Zero system observability
→ Exceptions surface when customers call. By then SLA is gone, margin is spent, and root cause is lost.
If one of these feels familiar, the system is already breaking.
Run a diagnostic →Frommanualchaostoautonomousdispatch.
Same inputs. Same carriers. Same SLAs. A completely different system between them.
Humans holding
the pipeline together.
- 01✕Spreadsheet routing
- 02✕Email-based coordination
- 03✕Static carrier rules
- 04✕Delayed tracking updates
- 05✕Human-dependent execution
A system that routes itself.
- 01→Real-time routing engine
- 02→Automated carrier selection
- 03→AI decision layer
- 04→Live shipment tracking
- 05→Zero-touch execution
Howthesystemworks.
A reference architecture we tailor to your lanes, carriers and SLAs in week one. No black boxes — every layer is inspectable.
Trigger
Orders enter the system via API, webhook, EDI or event stream. Normalised into one canonical shipment model.
Decision Engine
AI selects optimal carrier on cost, speed, capacity and location. Scored against SLA risk on every route.
Execution Layer
Auto-books shipment with winning carrier. Generates label, customs paperwork, and notifies the warehouse.
Tracking & Alerts
Real-time tracking from every carrier normalised to one event stream. Exceptions detected; customers notified.
Observability
Dashboards, SLA monitoring, bottleneck alerts. Every decision logged, queryable, and auditable.
Workflowsweengineerforlogistics.
These aren't demos. Each is a production pattern we've shipped, instrumented, and handed to operations teams.
Order → dispatch → delivery
The core loop. Zero human touches from order entry to POD.
Multi-carrier optimisation
Live scoring across every contracted carrier on price × transit × SLA risk. Cheapest-that-will-arrive wins.
ETA prediction + proactive alerts
Model predicts delivery window from carrier telemetry. Customers notified before they ask.
Exception handling
Delays, failed deliveries, customs holds — auto-detected, triaged, and routed to the right human or agent.
Warehouse sync + inventory
Bookings push manifests to the WMS; picks and POs reconcile back to ERP in real time.
Operationalimpact.
Aggregate figures across logistics engagements, measured against each client's pre-Forgequbit baseline.
/ testimony · coo · midlands 3pl“We stopped hiring for dispatch. The system just runs. Peak season used to mean twelve temps — last quarter it meant a dashboard.”
Systems,nottools.
Six layers, one spine. Every module talks to every other over one event bus — no CSVs, no zaps, no nightly syncs.
Observability
Logs · SLA monitoring · anomaly detection
Interface
Dashboards · alerts · notifications
Data
Sources of truth · warehouses
Execution
Carrier APIs · logistics integrations
Decision
AI agents · routing logic · optimisation models
Trigger
APIs · webhooks · event streams
Audit your logistics system.
We map your dispatch pipeline, identify bottlenecks, and show exactly what can be automated — and what shouldn't.
30 min · no pitch · real system insight.
- 01Map your current dispatch pipeline, end-to-end.
- 02Identify the three highest-leverage bottlenecks.
- 03Show what's automatable — and what shouldn't be.
- 04Leave you with a blueprint. Yours to keep, hire or not.