Australia Post × Shipsy — AI Logistics Transformation Blueprint

AI Agent Fleet

Meet the Autonomous Agent Department

Five specialised AI agents working in concert — each owning a domain, each learning continuously, all operating under human governance.

Agent Fleet = The Department — Agents execute autonomously | Humans govern and approve

🧭

Astra

Driver Assist Agent

20%

Driver productivity improvement

Real-time route guidance that reduces travel time and improves stop efficiency across the entire delivery run.

Details ▾

Astra analyses live traffic, parcel density, and historical stop patterns to generate micro-optimised routes. It adapts in real-time to dynamic pickups, unexpected delays, and changing customer preferences — reducing depot-to-completion time by up to 20%.

💬

Clara

Customer Experience Agent

30%

Reduction in inbound support volume

Interaction agent handling WISMO queries, real-time tracking updates, and proactive delivery notifications across all channels.

Details ▾

Clara proactively notifies customers before they call. It resolves 80%+ of WISMO queries autonomously via SMS, email, and WhatsApp — escalating only complex cases to human agents. Dramatically reduces contact centre load while improving CSAT.

⚖️

Nexa

Freight Settlement Agent

50%

Workload reduction

Autonomous settlement agent handling 4-way-matching, invoice ingestion, and closure with zero manual intervention.

Details ▾

Nexa ingests carrier invoices, matches against POs, contracts, and proof-of-delivery, then auto-approves or flags discrepancies. Eliminates the settlement backlog and prevents payment leakage with audit-grade accuracy.

🔎

Vera

Dispute Resolution Agent

25%

Reduction in dispute cycle times

Agent that accelerates dispute resolution through guided workflows, evidence gathering, and structured escalation paths.

Details ▾

Vera automatically collects delivery evidence (photos, GPS trails, signatures), cross-references carrier data, and guides agents through a structured resolution workflow. Reduces average dispute cycle time by 25% and improves recovery rates.

🗼

Atlas

Control Tower Agent

65%

Reduction in problem resolution time

Control tower agent providing proactive exception management, closed-loop actions, and real-time operational intelligence.

Details ▾

Atlas monitors every shipment in real-time, detects anomalies before they become failures, and triggers automated interventions via email, call, or WhatsApp. Closes the loop by confirming resolution — shifting the control tower from reactive firefighting to proactive orchestration.

Governance Model: All agents operate within defined guardrails — humans set policies, approve exceptions, and govern outcomes. AI executes with full audit trails.

Solution Modules The Principle

Augment, don't replace.

Existing stays where it's strong: planning depth, multi-modal optimisation, global trade, financial settlement, ERP integration. Shipsy operates on TMS objects to execute, then writes back. Three guarantees make the integration true augmentation, not parallel infrastructure.

Common data model

TMS Order Releases, Shipments, Stops, Service Providers, Equipment. Shipsy reads and writes the same ontology. Custom TMS fields included via schema mapping.

✓ Proven at Expeditors — custom TMS fields mapped through, no re-architecting.

Shared data lake

A single normalised store across geographies. Agents trained once, deployed everywhere. Localisation lives in business rules, not in forked data models.

✓ Heineken proved it across 70+ country business units on one data spine.

Acts on existing TMS, never replaces it

TMS remains the planning + financial backbone. Shipsy executes against TMS objects, then writes results back. No data divergence, no re-platforming.

✓ Pickup-timeslot booked in TMS ↔ ETA monitored in Shipsy ↔ alert raised, written back.

End-to-End Platform Capabilities

Six integrated modules covering every dimension of last-mile and middle-mile logistics operations.

🗂

Zoning & Load Balancing

Manual zone design leads to imbalanced workloads, driver overload, and inefficient coverage.

Data-driven territory sectorisation using historical delivery patterns with daily auto workload redistribution to balance driver capacity dynamically.

✓ ~2–5% total day-time saved

📍

AI Address Checker

Poor address quality causes failed deliveries, driver frustration, and repeat attempts.

AI-powered address profiler that standardises, geocodes, and enriches addresses at ingestion — before the driver ever leaves the depot.

✓ ~35% fewer address failures

🧩

Microcluster Routing

Routing ignores tribal knowledge — new drivers struggle while experienced drivers' knowledge is lost at attrition.

AI-generated baseline micro-clusters from historical patterns, enriched with driver-preferred delivery areas — capturing tribal knowledge and reducing onboarding time.

✓ Reduced onboarding time

📱

Depot Sorter

Manual sortation slows depot throughput and increases errors in parcel-to-cage assignment.

Mobile/HHT sorter app linking load-balanced zones with cage metadata and offline scanning capability — faster loading with full traceability.

✓ Faster loading, FADR% increase

🚛

Guided Vehicle Loading

Incorrect load order forces drivers to dig through vehicles, adding minutes per stop.

Sequence-aware loading that maps each parcel to a specific vehicle position, ensuring the first stop is always at the front — eliminating search time.

✓ ~2–4% reduced service time

🔀

Delivery Sequencer

Static route plans don't adapt to daily conditions, causing drivers to deviate and management to lose visibility.

Auto-sequenced microclusters presented to drivers who can select their preferred visit order — balancing driver autonomy with system-level route adherence.

✓ Improved route adherence

🏆

Driver Gamification

Low driver morale and high attrition cost significant hiring and training expense.

Achievement-based real-time rewards with leaderboards, quests, and badges — turning performance into a game that drivers actually want to play.

✓ Improved satisfaction & retention

🚀

Driver Management

Slow onboarding and complex compliance processes delay driver deployment by weeks.

Self-serve onboarding with referral engine and AI trainer agent — guiding new drivers through every step from documentation to first delivery.

✓ ~45–50% faster deployment

💰

Driver Payouts

Manual payout computation leads to errors, disputes, payment delays, and trust erosion.

Dynamic rate cards with real-time earnings visibility and automated payout computation — drivers see exactly what they'll earn before and after each run.

✓ Payment leakage prevention

📡

Proactive Delivery Visibility

Customers call because they don't know where their parcel is — each WISMO call costs ~$4–8.

Live tracking with automated stage-wise alerts pushed proactively — customers are informed before they think to ask.

✓ 20%+ delivery success, 30–40% fewer WISMO

⏱

Sharp Predict Windows

Vague delivery windows force customers to wait all day, reducing satisfaction and trust.

ML-driven 1–2 hour delivery window prediction with 90%+ adherence — telling customers exactly when their parcel will arrive.

✓ ~15–20% higher delivery success

✅

Delivery Validations

False delivery claims and fraudulent "delivered" scans create cost and erode enterprise trust.

Geofence-based delivery verification with photo capture and customer feedback collection — every delivery comes with proof.

✓ Enhanced trust, reduced false claims

🗼

Atlas — AI Control Tower

Manual exception monitoring is reactive — by the time a manager spots an issue, customers are already affected.

Real-time exception monitoring with autonomous closed-loop actions — Atlas detects, notifies, follows up, and resolves — without waiting for human input.

EXCEPTION FLOW

Order Assigned → Delay Detected → Incident Created → Notification Triggered → Driver Responds → Resolved

📧 Email 📞 Automated Call 💬 WhatsApp

✓ 65% reduction in manual monitoring burden

🔑

Access & Convenience

Untapped consumer segments and friction in existing access channels limit volume growth.

C2C digital booking, digitised counter booking, and expanded PUDO/locker networks — making Australia Post the easiest choice for every sender.

✓ ~85% less manual work at counter
✓ 20%+ improvement in delivery success

📊

Platform-Enabled Revenue

Enterprise and SMB shippers need predictable, SLA-backed services that Australia Post can't currently promise.

Enterprise eCom with 1–2hr delivery slots, SMB plug-and-play integrations (Shopify, Magento), and IoT-powered specialised services for pharma and cold chain.

✓ 95%+ slot adherence

🚀

Next-Frontier Bets

Premium and emerging segments are being captured by competitors with faster, more innovative offerings.

Premium same-day & bullet delivery, cross-border expansion with hybrid fleet + SLA monitoring, and on-demand dark store fulfilment.

✓ 95%+ same-day adherence

Proven Results

Case Studies from ANZ & Global Markets

Real outcomes from carriers and postal operators who've already made the AI-native transformation.

AI-native last-mile transformation — from manual operations dependent on courier knowledge to fully autonomous planning, dispatch, and customer experience at national scale.

86%

Reduction in
data-entry effort

~31%

Increase in vehicle
capacity utilisation

12%

Reduction in
transportation costs

~3.5%

Savings on
retail freight spend

Challenges

Manual load balancing, sequencing, and van loading relying entirely on courier knowledge
Couriers wasting time waiting at depots due to minimal real-time linehaul visibility
No live ETA or precise delivery windows for customers
Delivery slot assignment dependent on manual entry and human memory
Exception management, zone familiarity, and address resolution all done manually

Shipsy Solution

🗺 Zoning & Load Balancing

Dynamic territory creation with driver workload balancing, scan-sort integration, and guided loading sequences.

🧩 Micro-Cluster Route Optimisation

Driver-validated AI clustering, parking-spot optimisation, and walking pattern recognition.

😊 Predictive Customer Experience

1-hour delivery slots with improved adherence, live tracking, and proactive notifications.

🤖 No-Touch Dispatch

Driver assist AI for automated pickup allocation, exception handling, and resolution.

Detailed Impact

10–15%

Driver Productivity Increase

6–7%

Working Hour Savings

90%+

Delivery Window Adherence (from 30%)

15–20%

Increase in Delivery Success Rate

30–40%

Reduction in WISMO Queries

USD 37M / year

Total annualised savings

More Case Studies

Australian National Couriers

🇦🇺 Australia · National Operations

1,000+Delivery Professionals

800+National Fleet

AUD 200–250MAnnual Revenue

Challenges

Manual rostering, high finance friction, driver safety gaps, and hub immaturity limiting operational scale.

Solution

End-to-end TMS + last-mile stack, driver/fleet management, hub enablement, and AI automation across operations.

Impact

10–15%

Driver productivity lift

6–7%

Working-hour savings

~35%

Fewer failed deliveries

↓ Cost

Lower unit cost per delivery

Aramex Oceania

🌏 Oceania · 65 Countries

74MParcels Annually

18,000+Drivers & Staff

USD 27MAnnualised Savings

Challenges

Manual sortation, couriers waiting for manual dispatch, 75% of pickups manually assigned, and address accuracy at only 65%.

Solution

AI-native address correction, load balancing + guided vehicle loading, AI Driver App deployed across Oceania.

Impact

20%+

Driver productivity

60%

Depot time decrease (120→50 min)

12–18%

Workforce optimisation

Slot adherence increase

Heineken

🌍 Global · 70+ Country Business Units

World's 2ndLargest Brewer

70+Country Business Units

2M+Trips a Year

Challenges

Exactly the shape of the play. Every country had sourced its own trip-management solution. Fractured KPIs, manual POD on paper, manual returnable-packaging tracking, two different stacks for primary vs secondary distribution.

Solution

Shipsy replaced the local systems and augmented OTM as the global execution layer. One TMS, one data spine, primary + secondary unified. A case of beer can now be tracked from brewery dock to outlet shelf on a single timeline.

Impact

−28%

Sub-contractor payments for excessive stays at customer locations

−50%

Failed deliveries due to "customer not present"

70→90%

Fully automated route settlement

+8pp

On-Time Delivery improvement

From the source

Heineken distribution transformation video

▶

Watch on YouTube

Heineken's official video on the primary & secondary distribution transformation. The customer's voice on what changed, why they consolidated onto a single platform, and how local execution is now governed by a single global data spine.

This is what makes the Heineken precedent hard to argue with. It's not a case study deck, it's the customer.

Partnership Model

Kearney + Shipsy — A Complete Delivery Partnership

Clear role delineation between strategy execution and platform delivery — ensuring accountability at every stage of the transformation.

🎯

Kearney's Responsibilities

Strategy · Change Management · Value Realization

Diagnostics

Assess current processes, data readiness, system gaps, and operational inefficiencies. Identify immediate problem areas and prioritise by impact.

Overall Project Management (Go Live)

Drive implementation timelines, stakeholder coordination, and risk management to accelerate time-to-value.

AI Transformation & Change Management

Enable adoption through training programmes, communication frameworks, and scalable SOPs for AI-augmented operations.

Post Go-Live Value Realization

Track performance metrics, optimise workflows continuously, and ensure sustained ROI through structured review cadences.

⚙️

Shipsy's Responsibilities

Platform · Integration · Data · Engineering

Solution Design & Configuration

Translate business requirements into platform capabilities — configuring modules, workflows, and AI models for Australia Post's specific context.

Product Implementation & Integration

Integrate with existing ERP, TMS, WMS, and telematics systems — ensuring seamless data flow across the entire operation.

Data Enablement & Setup

Build data pipelines, perform cleansing and enrichment, and establish the data foundation required for AI model accuracy.

Testing, Validation & Go-Live Support

UAT management, system performance validation, and dedicated go-live support to ensure a confident, stable launch.

Continuous Product Enhancement & Support

Ongoing technical support, feature enhancements aligned to product roadmap, and SLA-backed incident response.

Best-in-class
Transformation
Blueprint for
Australia Post

Powering the World's Smartest Logistics Operations

An AI-native execution layer
that runs on existing TMS

Meet the Autonomous Agent Department

See the AI agents in action.

Augment, don't replace.

End-to-End Platform Capabilities

Case Studies from ANZ & Global Markets

Kearney + Shipsy — A Complete Delivery Partnership

From Discovery to POC Kickoff

Committed to Australia — Strategic Growth Market

Meet Your Australia Post Contacts

Best-in-class Transformation Blueprint for Australia Post

Powering the World's Smartest Logistics Operations

An AI-native execution layerthat runs on existing TMS

Meet the Autonomous Agent Department

See the AI agents in action.

Augment, don't replace.

End-to-End Platform Capabilities

Case Studies from ANZ & Global Markets

Kearney + Shipsy — A Complete Delivery Partnership

From Discovery to POC Kickoff

Committed to Australia — Strategic Growth Market

Meet Your Australia Post Contacts

Best-in-class
Transformation
Blueprint for
Australia Post

An AI-native execution layer
that runs on existing TMS