Unified Depot Intelligence
Connect parcel scans, manifests, driver availability, vehicle information, historical delivery outcomes and real-time operational events into one operational view.
AI-powered last-mile depot orchestration
AI-Powered Orchestration for Smarter Last-Mile Delivery
Connect your depot operations, predict delivery risks, optimise resources, and make better decisions before failures happen — all from one intelligent operational platform.
ParcelPilot AI helps logistics operators move from reactive depot management to predictive operational control.
From depot arrival to final delivery, ParcelPilot AI connects the decisions that drive delivery performance.
Depot LON-04 · live operations
Dispatch window 07:40
Parcels in depot
12,480
At-risk parcels
318
Routes ready
64 / 71
Route & parcel flow
Sortation Loading Out for delivery
AI recommendations
- Re-cluster 42 parcels on Route 18 — high failure pattern in postcode band.
- Shift 2 drivers from Zone C to Zone A to balance workload.
Awaiting supervisor review · approve, modify or dismiss
SLA risk watch
Zone A
Zone C
Zone F
Illustrative interface mockup
- Predict Delivery Risk
- Optimise Depot Operations
- Balance Driver Workloads
- Improve First-Attempt Delivery
- Learn From Every Outcome
About
About ParcelPilot AI
ParcelPilot AI is a UK-focused B2B AI SaaS platform built to help parcel carriers, courier networks, logistics providers and delivery operators coordinate the complex decisions that happen across the last-mile delivery process.
Founded by Tabrez Qaisar Khan, whose experience in UK parcel depot operations helped shape the platform around real-world logistics challenges.
The operational problem
Modern delivery operations rely on multiple systems for routing, tracking, workforce management, sorting and reporting. These systems can provide valuable information while still leaving operators to manually connect the decisions between them.
The connected intelligence layer
ParcelPilot AI brings these operational signals together into one connected intelligence layer, helping teams understand what is happening, predict what is likely to happen, and take action before problems become delivery failures.
Connected operations
One operational layer across parcel, driver, vehicle and depot data.
Predictive intelligence
Delivery risk and demand signals surfaced while action is still possible.
Proactive decision-making
Recommendations reach the right person before an issue becomes a failure.
Delivery reliability
Fewer failed attempts, steadier SLA performance and better resource use.
Platform
One platform for depot-to-doorstep decisions
Every capability feeds the same intelligence cycle, so parcel, sortation, driver, dispatch and route decisions are made together rather than in isolation.
Real-Time Package Flow Monitoring
Track parcels across depot arrival, scanning, sorting, loading, dispatch preparation and out-for-delivery stages to identify delays and bottlenecks while action is still possible.
First-Time Delivery Success Prediction
Analyse historical patterns and real-time conditions to identify parcels with a higher probability of first-attempt delivery failure and surface actionable recommendations.
- Historical delivery performance
- Address-level patterns
- Recipient availability
- Delivery windows
- Previous failed deliveries
- Driver and route conditions
Intelligent Sortation & Load Planning
Use delivery risk, vehicle capacity, geographic clusters, delivery priorities, driver familiarity and route efficiency to recommend better parcel organisation and loading decisions.
Driver & Workload Optimisation
Balance delivery workloads using driver availability, capabilities, vehicle capacity, operational pressure and delivery requirements.
AI Route & Dispatch Optimisation
Generate intelligent route and dispatch recommendations using delivery risk, traffic, delivery windows, geographic density, parcel priority and operational conditions.
Predictive Demand & SLA Risk
Forecast parcel demand and identify potential SLA and operational risks before they create disruption.
Continuous Learning & Network Intelligence
Learn from successful deliveries, failed attempts, driver performance, depot congestion and operational exceptions to improve future recommendations, with network-level intelligence for multi-depot operators.
Beyond Route Optimisation
Traditional logistics systems may optimise individual processes well, while the decisions between them stay disconnected.
Traditional approach
- Route planning
- Driver assignment
- Parcel tracking
- Reporting
- Separate operational systems
- Reactive decision-making
ParcelPilot AI
- Connected depot intelligence
- Parcel-level delivery risk prediction
- Integrated sortation and load planning
- Driver/workload optimisation
- Route and dispatch recommendations
- Continuous operational learning
ParcelPilot AI does not optimise one isolated part of delivery. It connects the operational decisions that influence the entire depot-to-doorstep workflow.
How it works
A closed operational intelligence loop
Six connected stages turn depot data into decisions, and delivery outcomes back into better decisions.
DataPredictionOptimisationExecutionOutcomeLearning
Data Collection
Connect operational data from depot systems, parcel records, vehicle information, driver availability and delivery outcomes.
Monitor
Create a real-time view of parcel movement and current depot conditions.
Predict
Identify delivery risks, forecast demand and detect emerging operational challenges.
Optimise
Generate recommendations for sortation, loading, driver allocation, routing, dispatch and workload balancing.
Decide & Act
Managers can review, approve, modify or execute recommendations depending on operational requirements.
Learn
Analyse actual delivery outcomes and use them to improve future predictions and recommendations.
End-to-end delivery flow
This continuous cycle is what allows ParcelPilot AI to move logistics operations from reactive management toward predictive and continuously improving operations.
Recommendations are not executed blindly. Depot managers stay in control, reviewing, approving, modifying or executing them according to operational requirements.
- 01Parcel Arrival
- 02Flow Monitoring
- 03First-Time Success Prediction
- 04Intelligent Sortation & Load Planning
- 05Driver Allocation
- 06Route Optimisation
- 07Delivery Execution
- 08Outcome Analysis
- 09Model Improvement
Market pricing
Pricing per depot, per month
Plans are priced by the number of depots connected to the platform, so pricing scales with your operation rather than your headcount.
Basic
Visibility & Monitoring
£999/ month / depot
- Real-time depot dashboard
- Parcel status monitoring
- Delivery activity visibility
- Basic operational alerts
- Historical performance reporting
- Depot KPI tracking
- User access management
Smaller logistics operators and regional delivery businesses.
Professional
Predictive AI & Optimisation
£2,499/ month / depot
Everything in Basic, plus:
- First-time delivery success prediction
- Parcel-level risk scoring
- Demand forecasting
- SLA risk identification
- AI-powered route recommendations
- Sortation and load-planning recommendations
- Driver workload balancing
- Exception management workflows
- Automated operational recommendations
Medium-sized parcel operators, regional carriers, 3PLs and retailers with significant delivery networks.
Enterprise
Full AI Depot Orchestration
£6,999/ month / depot
Everything in Professional, plus:
- Multi-depot network optimisation
- Automated operational rebalancing
- Advanced AI governance controls
- Custom machine learning models
- Enterprise API integrations
- Dedicated onboarding and implementation support
- Advanced security and compliance features
- Custom reporting and analytics
- Priority technical support
Large multi-depot networks may be priced above £6,999 per depot/month depending on depot numbers, parcel volume, integrations and automation requirements.
Start with visibility. Expand into intelligence. Scale into orchestration.
- Visibility
- Predictive Intelligence
- AI Optimisation
- Full Depot Orchestration
- Multi-Depot Expansion
FAQ
Frequently asked questions
Turn Your Depot Into a Predictive Operation
Connect your operational data, identify risks earlier and make better delivery decisions with AI-powered depot orchestration.