ANC transforms Australian parcel operations with Shipsy’s TMS and driver fatigue management
ANC, one of Australia’s largest independent courier networks — 1,000+ delivery professionals, 800+ fleet, AUD 200–250M annual revenue — lifted driver productivity 10–15%, cut failed deliveries by around 35%, and saved 6–7% in working hours by deploying Shipsy’s end-to-end TMS, DFMP (Driver Fatigue Management Plan), and AI incident copilot. A network historically run on manual allocation rules and spreadsheet finance now orchestrates routing, safety, and settlement on a single platform.
Customer: ANC — Australian parcel & courier network, 1,000+ delivery professionals, 800+ fleet, AUD 200–250M revenue. Industry: CEP / 3PL. Region: Australia. Shipsy modules deployed: TMS, Last Mile, Route Optimization, Driver app + DFMP, Hub Ops & IFN enablement, AI incident copilot, BI. Headline metric: 10–15% productivity lift, ~35% failed-delivery reduction.
The Challenge
ANC’s operating complexity had outgrown its tooling. Rostering and allocation rules — preloads, minimum earnings, two-man assists, dock constraints, multi-team assignments — were being enforced manually, which meant enforced inconsistently. High finance friction sat on top: manual guarantees, sundries, subsidies, credit notes, and invoice exports were a permanent overhead tax.
Australian compliance and driver safety added another layer. Driver fatigue management — rest day enforcement, fatigue plans, compliance reporting — was increasingly regulated but still handled outside any integrated system. And the hub and middle-mile layer was immature: bagging, verification, and integrated fulfilment across the IFN (Integrated Fulfilment Network) didn’t have digital primitives behind them. The network was profitable, but every dimension of the operation was leaking productivity to manual work.
The Solution
Shipsy deployed its full Australian-market CEP stack — TMS, driver management, hub enablement, and AI automation — with four load-bearing mechanisms.
End-to-end TMS and last-mile stack. Routing, the optimizer, and auto-allocation replace the manual allocation-rules overhead. Two-man jobs, preloads, minimum-earnings guarantees, and multi-team assists are codified as allocation constraints the engine enforces, not rules a dispatcher remembers. See our deep-dive on multi-carrier allocation.
DFMP — Driver Fatigue Management Plan. This is the Australian-specific safety mechanism. Shipsy’s driver app and roster engine build DFMPs per driver, track rest-day enforcement, and surface fatigue-risk indicators to the ops team. Compliance becomes a platform property, not a spreadsheet tax. Roster rules are enforced at the point of assignment.
IFN (Integrated Fulfilment Network) enablement. Sorting, bagging, shipment verification, and middle-mile LPN/barcode workflows are digitized in the Shipsy Hub Ops App. ANC’s hub and middle-mile layer — historically the weakest link — now runs on digital primitives with full audit trails.
AI & automation primitives. AI status normalization unifies carrier and partner status codes. The optimizer’s intelligence improves with ANC’s own data. An AI incident copilot surfaces exceptions — driver delays, failed deliveries, dock constraints — with recommended actions, replacing the manual dashboard scanning ops teams used to rely on. BI runs on no-code dashboards so team leads build their own views without engineering intervention.
Finance automation. Manual guarantees, sundries, subsidies, and credit notes move into automated workflows with invoice exports. The finance-ops gap closes.
The Outcome
The stack compounded across productivity, safety, and unit economics:
- 10–15% driver productivity lift — more drops per driver per shift
- 6–7% working-hour savings across the operation
- ~35% reduction in failed deliveries — fewer reattempts, better CX, lower unit cost
- Lower unit cost / direct cost improvement as allocation, finance, and hub workflows automate
The safety story is as important as the productivity one. DFMP moved fatigue management from a compliance liability into a real-time operational signal — helping ANC protect drivers and the business simultaneously. The incident copilot shifted ops from reactive (scanning dashboards for problems) to proactive (acting on surfaced exceptions). Finance friction — historically a hidden cost center — became measurable and automatable.
What’s Next
ANC is deepening AI incident copilot coverage, extending IFN automation across more hub sites, and evaluating AgentFleet deployment — specifically Nexa for settlement automation and Clara for CX query resolution. The goal: push more of the manual ops tax into autonomous execution.