Fleet Management platform development for complex logistics
Manual coordination breaks as fleets outgrow spreadsheets, leading to lost visibility, missed updates, and higher costs from inefficient routing and downtime. DNA Solutions delivers fleet coordination platforms with GPS tracking, automated scheduling, mobile access, and predictive maintenance, supporting large-scale, multi-vehicle operations.
Built Concreteasy, coordinating 270 plants and 2,200 trucks for Belgium’s concrete industry, proving scalable fleet coordination architecture for industrial-scale operations.
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That’s why Europe’s leading organizations rely on us to modernize their digital ecosystems.
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Let number speak for DNA Solutions
At DNA Solutions, we design technology around your business goals, not the other way around. Our enterprise clients rely on us to reduce operational costs, improve system efficiency, and ensure infrastructure resilience.
From cutting licensing costs to enabling zero-downtime migrations and AI-powered scalability, we deliver measurable impact through smart, goal-driven engineering.
Annual savings for one client
By optimizing Oracle licensing for a major European organization, we delivered over €1M in yearly cost savings.
Monthly invoices processed
We built and maintain a Deloitte-audited billing platform processing €250M in transactions every month.
Years of IT expertise
Our experience spans the design of mission-critical systems for Oracle, Mobistar, and telecoms across India, Dubai, and Europe.
Downtime
We ensure seamless cloud migration with zero incidents and uninterrupted operations.
Fleet development experience from Concreteasy™
Belgium’s concrete industry runs Concreteasy™, a DNA Solutions platform coordinating 270 plants and 2,200 trucks.
Its GPS tracking, mobile design, and cloud scaling manage complex industrial logistics. Building it exposed needs standard fleet software can’t meet real-time dispatching, equipment tracking, and multi-stakeholder communication.
Custom fleet platforms for real-time visibility
Fleet coordination demands real-time visibility replacing dispatcher guesswork. Manual check-ins interrupt drivers, delay decisions, and prevent proactive problem-solving when routes encounter issues. Cloud-native architecture, event-driven processing, and mobile-first interfaces become operational necessities.
Requirements shift when testing reveals actual usage patterns. Agile sprints validate assumptions through staged rollouts before major investment. AWS infrastructure scales with fleet growth. Complete documentation and training transfer fleet management capability to internal teams. Long-term partnership, not vendor lock-in.
Our fleet management development services
End-to-end fleet management development services delivering complete visibility from dispatch to maintenance. Rather than disconnected tools, DNA Solutions builds integrated fleet platforms that unify tracking, scheduling, communication, and analytics into one scalable system.
Fleet management software development and integration
Centralized fleet coordination platforms consolidate dispatch, scheduling, vehicle tracking, and operator communication replacing fragmented spreadsheet workflows. Custom fleet management software integrates with existing ERP systems, telematics providers, and dispatch tools without replacing functional infrastructure. Architecture built on Concreteasy experience coordinating 270 plants and 2,200 vehicles demonstrates scalable coordination at industrial scale.
Platform capabilities:
- Multi-view dashboards (list, calendar, timeline, board) for different stakeholder needs
- Equipment catalog management with technical specifications and filtering
- Real-time dispatching and job assignment coordination
- Cloud infrastructure auto-scaling with operational demand peaks
- Mobile-first operator interfaces maintaining performance under poor connectivity
- RESTful APIs enabling bidirectional integration with existing systems
- Event-driven processing ensuring real-time updates across distributed teams
Fleet coordination development backed by production experience managing thousands of daily operations. Microservices architecture enables independent component scaling. Complete knowledge transfer ensures teams manage platforms independently beyond deployment.
Intelligent fleet management through machine learning
Machine learning models analyze historical maintenance records, telematics sensor data, and usage patterns predicting component failures before breakdowns occur. AI-powered optimization algorithms consider traffic patterns, delivery windows, vehicle capacity, and driver hours maximizing operational efficiency. Predictive capabilities transform reactive firefighting into proactive fleet management.
AI capabilities:
- Predictive maintenance scheduling reducing unplanned downtime
- Route optimization algorithms minimizing fuel consumption and travel time
- AI-powered driver safety scoring identifying risky behaviors
- Demand forecasting predicting vehicle requirements during seasonal fluctuations
- Dynamic load optimization maximizing vehicle utilization
- Pattern recognition detecting operational inefficiencies
- Custom model development addressing specific fleet challenges
AI development backed by production experience where model accuracy directly impacts operational costs. Model monitoring detects accuracy degradation. Complete documentation enables internal teams to maintain and retrain models independently.
GPS fleet tracking integration
GPS tracking integration provides real-time vehicle location monitoring, route visualization, and automated status updates replacing manual check-in processes. Integration with telematics providers (Geotab, Samsara, Verizon Connect) captures vehicle data enabling operational visibility across entire fleet. Map visualization displays fleet positions, planned routes, traffic conditions, and delivery progress.
Tracking capabilities:
- Real-time vehicle location monitoring across substantial fleet numbers
- Route visualization with traffic-aware navigation
- Geofencing triggers and automated area entry/exit notifications
- Historical route playback for operational analysis
- Mobile driver interfaces displaying navigation and delivery information
- Integration with dispatch systems validating job completion through location
- API access enabling custom reporting beyond standard dashboards
GPS integration built understanding where dispatcher guesswork creates operational problems. Architecture handles concurrent tracking of thousands of vehicles. Cloud infrastructure ensures reliable location updates during peak operational periods.
Preventive maintenance system for fleet
Preventive maintenance systems track vehicle service history, scheduled maintenance intervals, and inspection checklists reducing unexpected breakdowns. Automated scheduling replaces manual tracking preventing missed services. Integration with telematics captures odometer readings and engine hours automatically triggering maintenance workflows when thresholds reached.
Maintenance capabilities:
- Automated service reminders and maintenance scheduling
- Parts inventory management preventing stockouts delaying repairs
- Mobile mechanic interfaces documenting repairs and parts usage
- Maintenance cost tracking identifying high-maintenance vehicles
- Compliance documentation satisfying regulatory inspection requirements
- Integration with telematics for automatic odometer and engine hour capture
- Historical maintenance records informing resale valuations
- Dashboard analytics revealing maintenance trends across vehicle types
Maintenance system development informed by understanding where unplanned downtime creates operational chaos. Architecture designed for mechanic workflows in field conditions with offline capability.
Fleet routing & dispatch optimization development
Route optimization algorithms minimize travel distance and time considering delivery windows, vehicle capacity, driver hours, and real-time traffic patterns. Dynamic dispatch coordination assigns jobs to available vehicles matching capacity and location requirements. Integration with GPS tracking validates estimated arrival times enabling proactive customer communication.
Optimization capabilities:
- Route optimization minimizing fuel consumption and travel time
- Dynamic re-routing adjusting for urgent deliveries or traffic delays
- Dispatch coordination assigning jobs to optimal vehicles
- Load optimization maximizing vehicle utilization reducing trips
- Customer notification systems providing automated delivery updates
- Historical route analysis identifying inefficient patterns
- Mobile dispatch interfaces enabling remote operations management
- API integration connecting dispatch with order management platforms
Route optimization built understanding where inefficient routing compounds daily costs. Algorithms balance multiple constraints including driver preferences, vehicle capabilities, customer priority levels.
Mobile fleet apps for drivers and managers
Mobile applications provide drivers with digital schedules, navigation, delivery documentation, and real-time communication replacing paper-based workflows. Manager applications display real-time fleet status, driver locations, and operational metrics. React Native development enables iOS and Android deployment from single codebase reducing development costs.
Mobile capabilities:
- Driver apps with digital schedules, navigation, and delivery documentation
- Photo capture and digital signatures documenting delivery conditions
- Offline capability ensuring functionality during connectivity loss
- Automatic synchronization when connection restores
- Manager apps displaying real-time fleet status and driver locations
- Push notifications alerting to delays or issues requiring attention
- Two-way messaging between drivers and dispatch
- Mobile-first design prioritizing field usability over desktop features
Mobile development backed by Concreteasy experience where field operators work in areas with poor connectivity. Architecture handles offline scenarios gracefully.
Analytics platforms consolidate data from GPS tracking, maintenance systems, dispatch platforms, and telematics providers revealing operational patterns invisible in isolated systems. Custom dashboards display metrics relevant to different stakeholder roles. Cloud-native data lakes harmonize diverse data sources enabling comprehensive fleet analysis.
Analytics capabilities:
- Custom dashboards for different stakeholder roles and responsibilities
- Automated reporting eliminating manual data compilation
- Historical trend analysis identifying seasonal patterns and efficiency opportunities
- Real-time analytics detecting anomalies requiring immediate attention
- Predictive analytics forecasting maintenance needs and capacity requirements
- Integration with business intelligence platforms (Tableau, Power BI)
- Self-service analysis enabling non-technical users
- Complete documentation enabling analytics teams to extend reporting independently
Analytics development informed by understanding which metrics actually drive operational decisions versus vanity metrics creating dashboard noise.
What fleet managers ask about fleet software development
DNA Solutions built Concreteasy, coordinating 270 concrete plants and 2,200 mixer trucks across Belgium's concrete industry. This production experience means understanding fleet coordination challenges at scale: multi-view scheduling requirements handling different stakeholder needs, real-time GPS tracking integration processing thousands of concurrent vehicle updates, equipment catalog complexity managing technical specifications and dynamic pricing, mobile-first operator interfaces maintaining performance under poor connectivity, and cloud infrastructure handling operational peaks without degradation.
Fleet development backed by maintaining systems where coordination failures create immediate business problems. Architecture decisions reflect production realities: event-driven processing preventing data loss during surges, microservices enabling independent component scaling, phased rollout approaches validating assumptions before full deployment, comprehensive monitoring detecting issues before user impact.
Transparent communication when complexity discovered mid-implementation enables timeline adjustments preventing rushed decisions compromising quality. Complete knowledge transfer through documentation and training ensures fleet teams manage systems independently. Long-term partnership approach means availability for questions and enhancements beyond initial deployment.
GPS tracking integration eliminates dispatcher guesswork about vehicle locations. Real-time visibility enables proactive problem-solving when routes encounter delays rather than discovering issues through missed deliveries. Automated status updates reduce driver interruptions from check-in calls. Estimated arrival times based on actual location and traffic conditions improve customer communication accuracy.
Route optimization algorithms analyze historical GPS data identifying inefficient patterns. Traffic-aware routing adjusts plans dynamically avoiding congestion. Geofencing triggers automated notifications when vehicles enter or exit designated areas without manual confirmation. Historical route playback enables operational analysis revealing where drivers deviate from efficient paths.
Mobile interfaces display driver-specific navigation eliminating separate GPS devices. Integration with dispatch systems validates job completion through location verification. Telematics integration captures vehicle data enabling predictive maintenance scheduling before breakdowns occur. Fuel consumption analysis correlated with routes identifies efficiency opportunities.
GPS data provides objective metrics for driver performance evaluation and training. Theft recovery capabilities through continuous location tracking protect vehicle assets. Comprehensive location history satisfies compliance requirements for regulated industries requiring delivery documentation.
Predictive maintenance analyzes patterns invisible to reactive approaches. Machine learning models process historical maintenance records, telematics sensor data, and usage patterns predicting component failures before breakdowns occur. Engine temperature fluctuations, vibration patterns, and oil pressure variations indicating imminent failures trigger maintenance scheduling during planned downtime rather than emergency roadside repairs.
Fleet maintenance costs concentrate on emergency repairs and associated downtime. Predictive models identify high-risk vehicles requiring attention before failures occur. Scheduled maintenance during off-peak periods prevents revenue-generating vehicles sitting idle during operational hours. Parts ordering based on predicted failures prevents delays waiting for overnight shipments of critical components.
Integration with telematics providers captures real-time sensor data feeding predictive models continuously. Maintenance scheduling systems automatically create work orders when models predict failures exceeding probability thresholds. Mobile mechanic interfaces access vehicle-specific predictions and diagnostic information accelerating repairs.
Historical accuracy tracking validates model predictions. False positive rates balanced against missed failure costs through threshold adjustments. Complete model documentation enables internal teams to retrain models as fleet composition changes. Predictive maintenance transforms reactive firefighting into proactive planning.