Quantum in Logistics & Supply Chain
Quantum in Logistics & Supply Chain
Solving the Hardest Problems in Logistics
Solving the Hardest Problems in Logistics
From routing and inventory to resilience and sustainability, Spindle applies quantum-powered solutions to challenges classical systems cannot handle at scale—delivering efficiency, adaptability, and measurable impact across supply chains.
From routing and inventory to resilience and sustainability, Spindle applies quantum-powered solutions to challenges classical systems cannot handle at scale—delivering efficiency, adaptability, and measurable impact across supply chains.
Vehicle Routing & Fleet Optimization
Optimize routes in real time to cut delivery times, fuel costs, and adapt quickly to changing traffic and demand.
Vehicle Routing & Fleet Optimization
Optimize routes in real time to cut delivery times, fuel costs, and adapt quickly to changing traffic and demand.
Vehicle Routing & Fleet Optimization
Optimize routes in real time to cut delivery times, fuel costs, and adapt quickly to changing traffic and demand.
Warehouse & Inventory Management
Balance stock levels using demand forecasts and quantum models to reduce waste and carrying costs.
Warehouse & Inventory Management
Balance stock levels using demand forecasts and quantum models to reduce waste and carrying costs.
Warehouse & Inventory Management
Balance stock levels using demand forecasts and quantum models to reduce waste and carrying costs.
Supply Network Resilience
Simulate disruptions to identify risks and build adaptive, faster-recovering supply chains.
Supply Network Resilience
Simulate disruptions to identify risks and build adaptive, faster-recovering supply chains.
Supply Network Resilience
Simulate disruptions to identify risks and build adaptive, faster-recovering supply chains.
Resource Allocation
Optimize manpower, assets, and logistics to improve utilization and lower operational costs.
Resource Allocation
Optimize manpower, assets, and logistics to improve utilization and lower operational costs.
Resource Allocation
Optimize manpower, assets, and logistics to improve utilization and lower operational costs.
Spindle Quantum VRP vs Market Platforms
Dimension
Spindle (Quantum-Hybrid VRP)
Most popular platforms (may vary across regions)
Integration
Single unified API
Multiple APIs + Connectors + Dashboards
Optimization Core
Quantum-classical hybrid
Classical
Core Role
Solver-centric optimization
Enterprise TMS / SCM or Last-mile route planning & optimisation
Integration Philosophy
ISV-centric solver integration
Platform + Partner Ecosystem
Traffic Awareness
Native
Via ISV
Native
Maps & Navigation
Native (open source)
Native
Real-Time ETA
Native
Via ISV
Native
Dynamic Re-optimization
Yes (solver)
Limited
Stochastic/Uncertainty
Handling
Yes
No
Best-Fit Use Case
Hard VRP & constraint-heavy optimization
Logistics visibility & tracking & last mile dispatch
Traffic + Route Updates
Via partner data
Yes
Scalability
Very high (solver)
Medium
Capability & Strategic Advantage
Capability & Strategic Advantage
All integrated Advanced VRP Capabilities
All integrated Advanced VRP Capabilities
Multi-modal, multi-depot, heterogeneous fleets
Unlimited vehicles, routes, and constraints
Split pickup & delivery
Open VRP (flexible end points)
Multiple trips per vehicle
Driver skill & vehicle compartment constraints
Priority-based routing
Stochastic & dynamic disruption handling
Comparative Strengths
Comparative Strengths
Area
Constraint Density
Solve Speed at Large Scale
Real-time Routing
What-If Simulation
Platform Extensibility
Future Readiness
Spindle
Very High
Very High
Yes (probabilistic)
Native at Scale
Solver + Platform
Quantum-ready
Most Popular in US
High
High
Yes (deterministic)
Supported (scenario-based)
Modular SaaS + Solvers
Advanced classical
Most Popular in ANZ
Medium - High
Medium
Limited
Supported
Suite-based
Classical
Most Popular in India / South Asia
Low
Low
No
Limited
Workflow-centric
Not aligned
Most Popular in ASEAN
Medium
Medium - High
Yes (deterministic)
Limited
API-first
Classical
Spindle is the only platform built for Extreme Complexity + Probabilistic Decisioning + Quantum Readiness.
Spindle optimizes decisions under uncertainty at enterprise scale.
Area
Constraint Density
Solve Speed at Large Scale
Real-time Routing
What-If Simulation
Platform Extensibility
Future Readiness
Spindle
Very High
Very High
Yes (Probabilistic)
Native at scale
Solver + platform
Quantum-ready today
Most popular in ANZ platforms
Medium–High
Medium
Limited
Supported
Suite-based
Classical Roadmap
Most popular in India / South Asia
Low
Low
No
Limited
Workflow-centric
Not aligned
Most popular in Asia
Medium
Medium–High
Yes (deterministic)
Limited
API-first
Classical roadmap
Most Popular in Australia
Medium
Medium
Yes (Deterministic)
Limited
Operational SaaS
Classical roadmap
Dimension
Spindle (Quantum-Hybrid VRP)
Most popular platforms (may vary across regions)
Integration
Single unified API
Multiple APIs + Connectors + Dashboards
Optimization Core
Quantum-classical hybrid
Classical
Core Role
Solver-centric optimization
Enterprise TMS / SCM or Last-mile route planning & optimisation
Integration Philosophy
ISV-centric solver integration
Platform + Partner Ecosystem
Traffic Awareness
Native
Via ISV
Native
Maps & Navigation
Native (open source)
Native
Real-Time ETA
Native
Via ISV
Native
Dynamic Re-optimization
Yes (solver)
Limited
Stochastic/Uncertainty
Handling
Yes
No
Best-Fit Use Case
Hard VRP & constraint-heavy optimization
Logistics visibility & tracking & last mile dispatch
Traffic + Route Updates
Via partner data
Yes
Scalability
Very high (solver)
Medium
Spindle Quantum VRP vs Market Platforms
Dimension
Spindle (Quantum-Hybrid VRP)
Most popular platforms (may vary across regions)
Integration
Single unified API
Multiple APIs + Connectors + Dashboards
Optimization Core
Quantum-classical hybrid
Classical
Core Role
Solver-centric optimization
Enterprise TMS / SCM or Last-mile route planning & optimisation
Integration Philosophy
ISV-centric solver integration
Platform + Partner Ecosystem
Traffic Awareness
Native
Via ISV
Native
Maps & Navigation
Native (open source)
Native
Real-Time ETA
Native
Via ISV
Native
Dynamic Re-optimization
Yes (solver)
Limited
Stochastic/Uncertainty
Handling
Yes
No
Best-Fit Use Case
Hard VRP & constraint-heavy optimization
Logistics visibility & tracking & last mile dispatch
Traffic + Route Updates
Via partner data
Yes
Scalability
Very high (solver)
Medium
Spindle Quantum VRP vs Market Platforms
Efficient Fleet Routing
Efficient Fleet Routing
Try the Vehicle Routing Quantum Optimizer
The Vehicle Routing Problem (VRP) is one of the most challenging issues in logistics. As the number of delivery stops increases, the possible route combinations explode exponentially—making it nearly impossible for classical systems to find the true optimal solution in real time.
The Vehicle Routing Problem (VRP) is one of the most challenging issues in logistics. As the number of delivery stops increases, the possible route combinations explode exponentially—making it nearly impossible for classical systems to find the true optimal solution in real time.
The Vehicle Routing Problem (VRP) is one of the most challenging issues in logistics. As the number of delivery stops increases, the possible route combinations explode exponentially—making it nearly impossible for classical systems to find the true optimal solution in real time.
Why VRP is a Challenge
Why VRP is a Challenge
VRP is an NP-hard problem: verifying a route is easy, but finding the best one grows factorially harder as fleets and constraints increase.
In practice, VRP isn’t just about distance. Real-world logistics must account for traffic, vehicle capacity, delivery time windows, fuel efficiency,
and service-level agreements. These constraints make the problem even more complex.
VRP is an NP-hard problem: verifying a route is easy, but finding the best one grows factorially harder as fleets and constraints increase.
In practice, VRP isn’t just about distance. Real-world logistics must account for traffic, vehicle capacity, delivery time windows, fuel efficiency,
and service-level agreements. These constraints make the problem even more complex.
Opportunities and Solutions
Opportunities and Solutions
→
Heuristics & Approximations: Classical solvers use techniques like Tabu Search and Genetic Algorithms to find “good enough” routes quickly.
→
Commercial Solvers: Platforms integrate heuristics with dynamic re-optimization for real-world operations.
→
Leveraging quantum optimization to process thousands of routes in parallel, delivering faster and more accurate solutions that scale with complexity.
Leveraging quantum optimization to process thousands of routes in parallel, delivering faster and more accurate solutions that scale with complexity.
See it in Action
See it in Action
See it in action. Our live Vehicle Routing Quantum Optimizer demonstrates how Spindle Quant applies quantum computing to solve VRP, producing smarter, faster, and greener routing decisions.
See it in action. Our live Vehicle Routing Quantum Optimizer demonstrates how Spindle Quant applies quantum computing to solve VRP, producing smarter, faster, and greener routing decisions.
Number of Stops:
2
Possible Routes:
Possible Routes:
2
2
Conceptual Time to Compute:
Conceptual Time to Compute:
0.00 ms
0.00 ms
PARTNERSHIPS & CASE STUDIES
PARTNERSHIPS & CASE STUDIES
Quantum Optimization in Action: FERO.ai
Quantum Optimization in Action: FERO.ai
Spindle collaborated with FERO.ai to integrate quantum-powered optimization into their logistics AI platform, enhancing routing intelligence and driving measurable efficiency across operations.
Spindle collaborated with FERO.ai to integrate quantum-powered optimization into their logistics AI platform, enhancing routing intelligence and driving measurable efficiency across operations.
Smarter Routing Decisions
Smarter Routing Decisions
Quantum algorithms evaluated thousands of delivery paths to recommend faster, fuel-efficient routes.
Quantum algorithms evaluated thousands of delivery paths to recommend faster, fuel-efficient routes.
Quantum algorithms evaluated thousands of delivery paths to recommend faster, fuel-efficient routes.
Operational Efficiency
Operational Efficiency
Reduced delivery times and improved fleet utilization across dynamic logistics networks.
Reduced delivery times and improved fleet utilization across dynamic logistics networks.
Reduced delivery times and improved fleet utilization across dynamic logistics networks.
Scalable Integration
Scalable Integration
Seamlessly embedded Spindle Quant APIs into FERO.ai’s existing platform without disrupting workflows.
Seamlessly embedded Spindle Quant APIs into FERO.ai’s existing platform without disrupting workflows.
Seamlessly embedded Spindle Quant APIs into FERO.ai’s existing platform without disrupting workflows.
Future-Ready Advantage
Future-Ready Advantage
Prepared FERO.ai and its clients for the next wave of quantum adoption in logistics.
Prepared FERO.ai and its clients for the next wave of quantum adoption in logistics.
Prepared FERO.ai and its clients for the next wave of quantum adoption in logistics.
The future of your
industry
starts here
Copyright © 2026 Spindle Pte. All rights reserved.
The future of your
industry
starts here
Copyright © 2026 Spindle Pte. All rights reserved.
The future of your
industry
starts here
Copyright © 2026 Spindle Pte. All rights reserved.
The future of your
industry
starts here
Copyright © 2026 Spindle Pte. All rights reserved.