GITNUXSOFTWARE ADVICE
Transportation LogisticsTop 10 Best Train Tracking Software of 2026
Top 10 best train tracking software ranked for operations teams, with technical comparisons of RailYatri, Trainspy, and eRail.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
RailYatri is the best pick for teams that need nonstop Indian train progress and PNR status checks without dispatch-grade signaling integration, while Trainspy fits when you’re running UK operations that rely on an interactive live map and clearer incident timelines.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
RailYatri
Station-to-station live progress updates that keep journey timing context visible during delays.
Built for fits when teams need continuous train progress checks without dispatch-grade signaling integration..
Trainspy
Editor pickIncident-oriented event timeline that ties movement changes to alertable status moments for fast after-action review.
Built for fits when dispatch teams need real-time tracking plus incident timeline clarity from live position feeds..
eRail
Editor pickTimetable-focused running views that map live movement to expected progress across stations.
Built for fits when operations teams need timetable-linked live visibility without building custom tracking pipelines..
Related reading
Comparison Table
This comparison table evaluates train tracking tools such as RailYatri, Trainspy, eRail, National Rail Enquiries, and FourKites by coverage, update frequency, and how location and status data is sourced. It also contrasts integration paths, automation and API surface, and admin controls like RBAC and audit logs where available, so tradeoffs are visible across deployments.
RailYatri
SMBIndian train live status tracking, PNR status, and bus booking platform.
Station-to-station live progress updates that keep journey timing context visible during delays.
RailYatri centers on live train location tracking and status updates that change as a train moves across stations. The experience is driven by a train-centric view that helps users correlate movement with scheduled routing and intermediate stops. It is practical for monitoring specific trains during a journey and for checking late-running services when multiple trains share similar station flows.
A tradeoff is that RailYatri is most useful for train-level and corridor-level awareness, not for deep signaling or asset analytics. It fits best when an operations team needs quick checks on running trains and station pass events, rather than full-grade dispatch decision support.
- +Train-centric live tracking supports frequent station-by-station checks
- +Delay interpretation is easier with timetable adherence cues
- +Fast navigation for repeated lookups across multiple running trains
- +Journey monitoring view works well for both passengers and ops
- –Limited visibility into lower-level traction and interlocking signals
- –Automation and API access are not a primary focus for governance-heavy deployments
- –Multi-system integrations are harder than pure visualization workflows
Station operations coordinators
Validate passing status at key stations
Fewer missed handoffs
Passenger support teams
Answer delays with current location
Faster, accurate updates
Show 1 more scenario
Control room analysts
Spot delay patterns across services
Earlier escalation decisions
Compare current progress with timetable adherence signals for trains on shared corridors.
Best for: Fits when teams need continuous train progress checks without dispatch-grade signaling integration.
More related reading
Trainspy
vertical specialistLive UK train tracking on an interactive map showing real-time train locations.
Incident-oriented event timeline that ties movement changes to alertable status moments for fast after-action review.
Trainspy’s core value comes from correlating frequent location updates into a coherent train timeline with status changes and delay-related context. The interface is oriented around operational monitoring rather than analytics-first dashboards, which makes it practical for control-room staff who need fast answers during disruption. Alerts and filters help narrow attention to trains with abnormal movement patterns and recent changes.
A tradeoff appears in how quickly Trainspy becomes useful depends on the quality and consistency of upstream positioning feeds. If the input stream has gaps or inconsistent identifiers, history continuity and event attribution become harder to validate in the UI. Trainspy fits best when an operations team already has a dependable train describer and consistent train identification across updates.
- +Real-time movement monitoring with an incident-focused event timeline
- +Alerting and filtering for rapid triage of abnormal train behavior
- +Operational history supports back-checking what changed and when
- +Integration-friendly design for systems that emit live position reports
- –Data quality issues from upstream feeds weaken continuity of train history
- –Advanced analysis workflows require external reporting rather than in-app modelling
- –Identifier mapping across sources needs careful governance discipline
- –Configuration depth can slow initial rollout for multi-depot operations
Control-room dispatchers
Handle disruptions with timeline-based triage
Faster disruption response
Ops planning teams
Track schedule adherence during peaks
Lower manual verification
Show 2 more scenarios
Maintenance planners
Diagnose rolling stock movement anomalies
More targeted interventions
Uses historical movement patterns to identify where behavior deviated before maintenance action.
Integration engineers
Bridge onboard and wayside feeds
Reduced integration friction
Connects external position-report producers into a unified tracking view for operations.
Best for: Fits when dispatch teams need real-time tracking plus incident timeline clarity from live position feeds.
eRail
SMBIndian railway train tracking, seat availability, and route information platform.
Timetable-focused running views that map live movement to expected progress across stations.
eRail provides live train movement visibility with location updates and route context that help staff relate behavior to schedule adherence. It also supports monitoring by route and station, which reduces the need to manually translate raw positions into operational meaning. The interface supports day-to-day operations such as checking running status, spotting delays early, and tracking propagation as trains progress. Integration depth appears to be lighter than enterprise control-room systems, since the product experience centers on human monitoring rather than deep automation hooks.
A tradeoff is that eRail’s strongest value is operational viewing, while advanced automation such as route-level alert rules and complex data publishing pipelines is less explicit in the standard workflow. eRail fits best when crews and traffic staff need quick confirmation of where a train is and how far it is from expected progress. It is less suitable when a project requires fully modeled railway control data flows into interlocking, SCADA, or signaling-grade telemetry.
- +Timetable-centric running context supports fast operational decisions
- +Route and station monitoring reduces manual position interpretation
- +Near-real-time updates make delay checks quicker during disruption windows
- +Human-focused UI fits daily dispatch and control-room routines
- –Automation depth for alerting and workflows is less explicit than specialized systems
- –Deep integration into signaling and control-room telemetry is not a primary focus
- –Advanced data export and API-led orchestration is not the core experience
- –Governance controls for multi-organization deployment are not front and center
Traffic operations supervisors
Monitor deviations across key stations
Faster confirmation and reallocation
Control room dispatchers
Track trains during headway pressure
Reduced spacing mistakes
Show 2 more scenarios
Station masters
Verify arrival and departure status
Fewer missed connections
Station staff check current running status and predicted progress for passenger-facing coordination.
Planning and service recovery
Follow delay propagation through route
Earlier recovery planning
Teams review ongoing movement to identify which downstream services will likely be impacted.
Best for: Fits when operations teams need timetable-linked live visibility without building custom tracking pipelines.
National Rail Enquiries
enterpriseOfficial real-time train running information and journey planner for the Great Britain rail network.
Public journey-specific service status and disruption updates presented as a single, user-checked itinerary view.
National Rail Enquiries focuses on public train running information for Great Britain rather than offering a back-office control room. It provides journey planning and live service status feeds that route delays and disruption messages to specific routes, stations, and times.
Its distinct value for tracking workflows is the consistency between itinerary lookups and operational updates. Automation is mostly about consuming published service information for downstream displays and reporting rather than managing trackside data sources.
- +Journey planning ties directly to live running information
- +Clear station and service views support operational scanning
- +Disruption messaging is structured around real journeys
- +Information is usable without configuring data ingestion
- –Limited admin controls for multi-site internal governance
- –No support for direct train control workflows beyond display
- –API automation surface is oriented to published data use
- –Does not model headway regulation or train graph operations
Best for: Fits when teams need reliable public running status and station-level views for daily operations.
FourKites
enterpriseSupply chain visibility platform with real-time rail freight tracking across North America.
Exception monitoring that converts continuous location updates into shipment-level delay signals for operational action.
FourKites tracks rail shipments by ingesting live location signals and mapping them to shipment and routing context for day-to-day operational visibility. The core workflow centers on exception-focused monitoring, so delay and status changes can be surfaced for carriers, dispatchers, and customer teams without manual spreadsheet checks.
FourKites also provides integration options that connect tracking events to logistics execution systems and allow automated updates across connected tools. Configuration supports governance for who can view what, which matters when multiple operational groups share the same shipment portfolio.
- +Exception monitoring ties location updates to actionable shipment status changes
- +Shipment routing context reduces the need to reconcile raw GPS points
- +Integration supports connecting tracking events to downstream systems
- +Role-based access controls help segment visibility across operational groups
- –Advanced reporting depends on configuration and data field mapping discipline
- –Exception rules can require iteration to match specific rail operations
- –Deep rail-specific semantic layers may not cover every customer data pattern
- –Bulk operations feel slower than targeted views for high-volume users
Best for: Fits when operations teams need exception-driven rail visibility and integrations that keep TMS and tracking aligned.
project44
enterpriseGlobal supply chain visibility platform covering multimodal freight including rail tracking.
Project44 event rules with API-based updates for near-real-time timeline normalization across partner sources.
Project44 fits rail operators and rail logistics teams that need consistent shipment visibility from yards through line-haul. It ingests event streams from carriers and logistics partners, then normalizes them into a trackable timeline with status, location, and exception cues.
Core capabilities center on data integration, partner onboarding, and workflow automation driven by event rules and API updates. It is less about onboard train control and more about operational monitoring and delay management across the rail network.
- +Event normalization produces a single operational timeline
- +Extensive partner integration supports multi-operator tracking
- +Rule-based exceptions reduce manual delay checking
- +API-first design supports internal orchestration at scale
- –Rail-specific configuration needs careful mapping of event types
- –Governance and change control are required for partner feeds
- –Deep visibility depends on timely third-party event reporting
- –Workflow automation can require developer support for edge cases
Best for: Fits when rail logistics teams need API-driven tracking and exception workflows across multiple operators.
Fleetio
SMBFleet maintenance and asset tracking platform with rail equipment support.
Rules-driven maintenance and inspection automation connected to asset readiness status.
Fleetio is train tracking software that centers fleet-level visibility across assets and work orders, not just trip timelines. It links rolling-stock maintenance planning with operational status so teams can see what is available for each movement.
Fleetio adds automation around recurring tasks, inspections, and condition-based workflows using configurable rules. Reporting and exports support day-to-day monitoring of utilization, downtime, and maintenance adherence across multiple locations.
- +Fleet and asset visibility connected to maintenance execution workflows
- +Configurable automation for recurring inspections and scheduled work
- +Operational reporting supports utilization, downtime, and maintenance adherence views
- +Integrations and API support data movement between operations tools
- –Train-specific modeling like consist-level rules needs careful configuration
- –Routing and signaling semantics are not represented as interlocking or track-circuit logic
- –Bulk import and data cleanup can be required when onboarding many assets
- –Automation rules can become complex when governance and exceptions multiply
Best for: Fits when rail teams need asset-centric train tracking tied to maintenance and utilization reporting.
Rail-Flow
vertical specialistRail freight tracking and logistics platform for European rail corridors.
Configurable event ingestion that normalizes movement updates into consistent train tracking states.
Rail-Flow is a train tracking software solution focused on converting real-time movement events into operational visibility for rail teams. It centers on trackside reporting workflows, planned-versus-actual comparisons, and issue views tied to specific trains, routes, and timestamps.
Integration depth is driven by an API-style event ingestion approach and automation hooks for alerting and status updates. Admin control is oriented around role-based access for users who view, configure, or operate tracking tasks.
- +Event-driven tracking views link movements to trains, times, and routes
- +Workflow automation supports alerts based on state changes and inconsistencies
- +Role-based access separates operator views from configuration actions
- +Audit history supports traceability of updates and operator decisions
- –Requires careful mapping of signal and identifier inputs to train identities
- –Automation scenarios need governance to prevent alert noise during disruptions
- –Advanced analytics depth is limited compared with dispatch-centric suites
- –Bulk reconciliation tooling is narrower for very large reroute tables
Best for: Fits when rail operations teams need near-real-time tracking visibility with controlled automation.
TranSenda
enterpriseRail logistics and tracking software for freight operators.
Event-driven tracking that ties alerts to delay propagation and timetable adherence using configurable rule sets.
TranSenda tracks trains by ingesting operational event data and presenting rolling stock movements on live timelines and route views. It supports rule-based alerts for timetable adherence issues and delay propagation signals so dispatchers can react without manual spreadsheet review.
The product also provides configuration for identifiers used in train describer style workflows and can integrate with external systems through published interfaces. Admin tools cover user access separation and logging so operations and engineering teams can audit changes to tracking logic.
- +Rule-based alerts tied to operational timing events reduce manual triage
- +Live movement timelines help correlate consists across route segments
- +Configurable identifiers support consistent mapping of rolling stock records
- +Audit logging and access separation support governance for tracking rules
- –Integration effort rises when multiple legacy event formats must be normalized
- –Admin configuration can be heavy for frequent rule changes across divisions
- –Advanced analytics exports are limited to specific output views
- –Some automation relies on event completeness, which can block alert accuracy
Best for: Fits when operations teams need configurable train movement tracking and alerting with governed user access.
RailPulse
enterpriseRailcar telematics and tracking platform for North American rail shippers.
Exception-to-owner routing that ties tracking updates to actionable operational alerts across defined routes and responsibilities.
RailPulse is a train tracking software tool built for real-time operational visibility across rail movements. It centers on live position updates, disruption-aware monitoring, and alerting workflows that connect field events to control-room decisions.
The distinct value comes from how it tracks trains end-to-end through status changes, then routes exceptions to the right operational owners. Integration and automation are geared toward system-to-system data exchange rather than manual charting.
- +Real-time movement tracking with event-driven exception alerts
- +Focused workflows for managing delays and operational knock-on effects
- +Good fit for control-room operations that need quick situational checks
- +Clear audit trail of tracking and alert actions for governance
- –Limited coverage for signaling-level inputs beyond tracked movement states
- –External integration requires more engineering than spreadsheet imports
- –Automation depth depends on how upstream systems emit event updates
- –Role separation is narrower than full RBAC for multi-department teams
Best for: Fits when operations teams need real-time train status and exception routing without heavy custom signaling integration.
Conclusion
After evaluating 10 transportation logistics, RailYatri stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right train tracking software
This buyer's guide covers how to evaluate train tracking software tools, using RailYatri, Trainspy, eRail, National Rail Enquiries, FourKites, project44, Fleetio, Rail-Flow, TranSenda, and RailPulse.
It focuses on integration depth, operational data coverage, and automation and API surface so dispatchers, control-room teams, and logistics workflows can select tools that match their tracking responsibilities.
Train tracking software for live movement, incident timelines, and operational handoffs
Train tracking software turns live position and event signals into trackable train journeys, usually with station or route context and exception alerts when running performance deviates from expected progress.
Operational teams use it for situational awareness, incident triage, and delay handling workflows. RailYatri shows station-to-station live progress updates with timetable context for fast journey monitoring, while Trainspy builds an incident-oriented event timeline from live position reports for after-action review.
What to validate when comparing train tracking tools
Train tracking tools vary most by how they map incoming event signals to train identities, how they present expected progress, and how they support governed automation when exceptions occur.
Integration and extensibility matter when tracking data must flow into other execution systems. Tools such as project44 and FourKites emphasize API-driven event normalization, while National Rail Enquiries centers on itinerary-consistent public running information without dispatch-grade trackside integration.
Train-to-identity mapping that holds up during disruptions
A tracking tool must keep continuity when upstream feeds change identifiers or timing granularity. Trainspy flags that identifier mapping across sources needs governance discipline, while TranSenda and Rail-Flow require careful mapping of signal and identifier inputs to train identities to avoid broken histories.
Expected-progress views tied to station or route context
Operational decisions depend on seeing live movement relative to what the timetable or journey plan expects. eRail focuses on timetable-centric running views that map live movement to expected progress across stations, and RailYatri keeps journey timing context visible during delays with station-to-station updates.
Incident and exception timelines that reduce triage time
Exception handling needs more than a map view. Trainspy builds an incident-oriented event timeline tied to alertable status moments, and RailPulse routes exception-to-owner alerts so knock-on effects reach the right operational owners fast.
API and event ingestion depth for automation across systems
Automation matters when tracking must update other operational platforms without manual charting. project44 normalizes partner event streams into a single operational timeline using API-first event rules, while Rail-Flow provides API-style event ingestion with automation hooks for alerts and status updates.
Governance controls that separate operator actions from configuration changes
Admin and audit controls prevent accidental rule changes during disruption windows. Rail-Flow separates role-based access for user views versus tracking task configuration and uses audit history for traceability, while TranSenda includes access separation and logging for auditing tracking-rule changes.
Domain model fit for the tracking workflow
Some tools model trains as movements only, while others model assets and readiness. Fleetio ties rolling-stock maintenance planning and recurring inspection automation to asset readiness status, and FourKites converts location updates into shipment-level delay signals for rail freight operational action.
Pick the tool shape that matches how tracking work gets done
The first decision is whether tracking is mainly about public-facing journey status, passenger or ops scanning, or dispatch-grade incident history with governed automation.
The second decision is whether the organization needs API-driven event normalization across partner sources or near-real-time tracking with controlled internal rules and audit trails.
Choose the workflow anchor: itinerary view, incident timeline, or exception routing
Select RailYatri when the core requirement is station-to-station live progress updates that preserve journey timing context during delays. Select Trainspy when dispatch teams need incident-focused event timelines built from live position feeds for back-checking what changed and when. Select RailPulse when the priority is exception-to-owner routing that connects tracking updates to actionable alerts across defined routes and responsibilities.
Validate how expected progress is represented in daily operations
Choose eRail when operational follow-up depends on timetable-centric running context mapped to expected progress across stations. Choose National Rail Enquiries when reliable public journey-specific status is the center of the workflow and disruption messaging must map cleanly to specific routes, stations, and times. Avoid treating these as interchangeable with dispatch-centric models since National Rail Enquiries is oriented to published service information for downstream displays rather than trackside control workflows.
Decide between API-first partner normalization and controlled event ingestion
Choose project44 when multiple operators and logistics partners feed event streams and the system must normalize them into a single operational timeline using rule-based exceptions and API-based updates. Choose FourKites when exception monitoring must convert continuous location updates into shipment-level delay signals while keeping tracking aligned with TMS execution systems. Choose Rail-Flow or TranSenda when the organization already has event inputs and needs configurable event ingestion and rule sets with audit history and role-based access.
Confirm governance needs for rule changes, identifier changes, and auditability
Choose Rail-Flow when governance requires role-based access that separates configuration actions from operator views and includes audit history of updates and decisions. Choose TranSenda when governance needs access separation and logging so operations and engineering teams can audit changes to tracking logic and alerts. Avoid assumptions that governance-heavy deployment will work automatically since RailYatri and Trainspy do not position automation and API access as primary governance surfaces.
Match the data model to the operational object: trains, rolling stock, or shipments
Choose Fleetio when operational tracking must connect asset readiness status to maintenance execution workflows and inspection automation. Choose FourKites and project44 when the object of record is shipment and operational action requires routing and exception handling tied to shipment status. Choose Trainspy, eRail, Rail-Flow, TranSenda, and RailPulse when the primary object of record is train movement across a route and incident handling depends on train identity continuity.
Plan for data quality and completeness requirements before rollout
Plan for upstream data quality issues if the tool depends on continuous position reporting since Trainspy notes that upstream feed continuity can weaken train history. Plan for event completeness constraints if alert accuracy depends on all required timing events since TranSenda states some automation relies on event completeness. Plan identifier mapping discipline if multi-depot or multi-format event sources must be reconciled, because Trainspy warns that identifier mapping across sources needs careful governance.
Which teams should buy these train tracking tools
Train tracking software fits different organizations based on what they track and how they handle exceptions. The best-fit choice depends on whether the daily workflow is passenger and ops scanning, dispatch incident history, freight shipment exceptions, or asset readiness and maintenance execution.
Dispatch and incident triage teams using live position feeds
Trainspy fits dispatch teams that need real-time tracking plus incident timeline clarity from live position feeds so abnormal behavior is triaged quickly. Rail-Flow fits teams that want configurable event ingestion with automation hooks and audit history for controlled near-real-time tracking visibility.
Operations teams running timetable-linked disruption follow-up
eRail fits operations teams that need timetable-linked live visibility and fast situational awareness during disruptions without building custom tracking pipelines. RailYatri fits teams that need continuous train progress checks with station-to-station updates that keep journey timing context visible during delays.
Rail logistics and multi-operator exception monitoring
project44 fits rail logistics teams that need API-driven tracking and exception workflows across multiple operators because it normalizes partner event streams using event rules and API-based updates. FourKites fits rail freight operations that need exception monitoring that converts continuous location updates into shipment-level delay signals and keeps TMS and tracking aligned.
Freight operators focused on governed rules and delay-propagation alerting
TranSenda fits freight operators that need configurable train movement tracking and alerting with governed user access and audit logging. Rail-Flow fits similar needs with role-based access that separates configuration actions from operator views and uses audit history for traceability.
Asset and maintenance planning teams connecting readiness to movement
Fleetio fits rail teams that require fleet-level visibility connected to maintenance execution workflows so asset readiness status informs what movements can run.
Common failure modes when buying train tracking software
Train tracking projects fail most often when the chosen tool cannot maintain identity continuity across data sources, when automation rules generate noisy alerts during disruptions, or when the workflow depends on governance and audit controls that the tool does not emphasize.
Another frequent failure mode is selecting a public-information tool when the operational requirement is dispatch-grade exception modeling and orchestration.
Assuming station or map visibility equals dispatch-grade incident history
Train tools like RailYatri provide station-to-station live progress updates with timetable context, but they do not position deep automation and API access for governance-heavy deployments. Trainspy focuses on incident-oriented event timelines tied to alertable status moments, which is the model dispatch teams need for back-checking what changed and when.
Underestimating identifier mapping and feed continuity requirements
Trainspy notes that identifier mapping across sources needs careful governance discipline and that upstream data quality can weaken continuity of train history. Rail-Flow and TranSenda also require careful mapping of signal and identifier inputs to train identities, so mapping work must be treated as an implementation task rather than a one-time setup.
Building alert workflows on assumptions about event completeness
TranSenda states that some automation relies on event completeness, which can block alert accuracy if required events do not arrive. Rail-Flow similarly calls out the need for governance to prevent alert noise during disruptions, so alert rule design must include operational tolerances.
Choosing a public journey status view for internal control-room orchestration
National Rail Enquiries delivers structured public journey-specific service status and disruption updates as an itinerary view, but it does not model headway regulation or train graph operations and does not support direct train control workflows beyond display. Dispatch and control-room orchestration needs products like Trainspy, RailPulse, or Rail-Flow that center incident timelines and exception routing rather than public itinerary rendering.
Ignoring the object of record and buying the wrong tracking model
Fleetio connects rolling-stock maintenance execution and recurring inspections to asset readiness status, so using it as a pure train incident system can mismatch expected workflows. FourKites and project44 center shipment-level or partner-event exception monitoring, so using them when the primary requirement is train identity continuity across trackside inputs can create gaps in operational semantics.
How We Selected and Ranked These Tools
We evaluated RailYatri, Trainspy, eRail, National Rail Enquiries, FourKites, project44, Fleetio, Rail-Flow, TranSenda, and RailPulse on features, ease of use, and value, with features weighted most heavily because tracking workflows depend on how events become usable operational views. Ease of use and value each accounted for the same share of the overall score, which guided separation between dispatch-grade timeline tools and simpler itinerary and monitoring tools. This editorial scoring used the provided product descriptions, stated feature sets, and listed pros and cons, so the ordering reflects criteria-based fit rather than hands-on lab validation.
RailYatri rose above many competitors because station-to-station live progress updates keep journey timing context visible during delays, and that strength lifted the features and ease-of-use factors by delivering a train-centric monitoring workflow that matches repeated operational lookups.
Frequently Asked Questions About train tracking software
How does train tracking software translate raw location reports into a usable train timeline?
When do timetable-linked views matter more than pure position tracking?
Which tools support API-style or event-stream integrations for automation?
How are incident and audit timelines handled during disruption workflows?
What breaks if a train tracking system does not govern access to tracking configuration and views?
Where do station-level progress cues help most for operational teams?
Which platforms fit shipment visibility instead of train control-room style tracking?
How does maintenance readiness change the definition of tracking outcomes?
What identifier strategy is used when trains do not share a single consistent label across systems?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
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