
GITNUXSOFTWARE ADVICE
Transportation LogisticsTop 10 Best Last Mile Software of 2026
Top 10 last mile software tools ranked by delivery speed and accuracy for logistics teams, with feature comparisons of Onfleet, Bringg, FarEye.
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
Onfleet (onfleet-1) is the best fit for mid-size logistics teams that need real dispatch control with stop-level proof and clear exception visibility, while Bringg (bringg-2) is the better alternative when you want enterprise orchestration that automates stop workflows through strong API integration across multi-stop routes.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Onfleet
Driver app proof of delivery capture ties photo or signature to each stop event for operator auditing.
Built for fits when mid-size logistics teams need dispatch control with stop-level proof and exception visibility..
Bringg
Editor pickStop-level orchestration that drives automated state transitions from planning through delivery confirmation and exception workflows.
Built for fits when carriers need stop-level workflow automation with strong API integration across multi-stop routes..
FarEye
Editor pickException-driven re-dispatch and delivery confirmation handling keeps stop-level execution consistent when access, address, or contact issues block completion.
Built for fits when operations teams need dispatch control, exception workflows, and POD capture for dense last mile networks..
Comparison Table
Onfleet
SMBLast mile delivery management platform with driver tracking, route optimization, and proof of delivery.
Driver app proof of delivery capture ties photo or signature to each stop event for operator auditing.
Onfleet’s dispatch workflow centers on assigning stops to couriers, viewing delivery status in near real time, and reacting to delivery exceptions from a single operations view. Proof of delivery workflows include photo and signature capture through the driver app and tie each capture back to the specific stop event. Built-in geocoding and routing feedback support address quality checks and route sequencing adjustments when assignments change.
A key tradeoff is that advanced routing quality depends on clean stop data and consistent address inputs, so exception volume can rise if upstream order data is messy. Onfleet fits best when teams need a day-to-day dispatch board with courier management and proof of delivery audit trails, not a bespoke dispatch system with deep custom route logic.
- +Stop-level proof of delivery capture with photo and signature from the driver app
- +Dispatch board shows delivery progress and exceptions by route and courier
- +Event timelines link assignment changes to delivery confirmation outcomes
- +Automation around status updates reduces manual tracking reconciliation
- –Routing outcomes degrade when stop addresses are inconsistent or poorly geocoded
- –Some workflow changes require configuration inside the Onfleet operations setup
- –Exception handling workflows can become queue-heavy at high daily volume
- –Multi-warehouse operational complexity needs careful process design
Last mile operations managers
Daily dispatch and exception triage
Fewer missed confirmations
Courier and dispatch teams
Courier management with assignment changes
Lower rescheduling overhead
Show 2 more scenarios
Customer service teams
Proof-backed delivery confirmation
Reduced claim handling time
Support agents use stop-linked POD captures to answer delivery inquiries without manual searches.
Logistics analytics leads
Delivery telemetry for performance review
Targeted routing improvements
Teams review delivery events to spot where routes drift and where exceptions spike across days.
Best for: Fits when mid-size logistics teams need dispatch control with stop-level proof and exception visibility.
Bringg
enterpriseEnterprise last mile delivery orchestration platform connecting shippers, carriers, and customers.
Stop-level orchestration that drives automated state transitions from planning through delivery confirmation and exception workflows.
Bringg is a strong fit for teams that manage high stop counts per route and need exception handling tied to each stop’s lifecycle. The system’s orchestration workflow coordinates assignment, route sequencing, and driver updates so operational dashboards stay aligned with in-transit events. Bringg’s automation is best used when dispatch decisions and customer messaging depend on consistent event timing and stop state transitions.
A key tradeoff is that Bringg’s value depends on clean operational inputs like geocoding quality and a delivery workflow configuration that matches real-world carrier processes. Teams also need governance around event schemas and integrations so stop statuses map correctly across internal systems. Bringg works well for same day and scheduled delivery programs where route density and multi-stop execution require tight operational control.
- +Stop-level orchestration that keeps dispatch, driver, and customer status aligned
- +API-driven integration with order and tracking systems for end-to-end event flow
- +Configurable workflows that support exception handling at the delivery stop
- +Dispatch board designed around operational state changes rather than batch reporting
- –Implementation effort rises with custom delivery workflows and carrier-specific rules
- –Address quality and routing inputs must be managed to avoid ETA and sequencing drift
- –Complex networks require tighter integration governance for consistent stop identifiers
Last mile operations teams
Manage multi-stop routes with exceptions
Fewer missed deliveries
Dispatch managers
Prioritize assignments in real time
Faster rerouting decisions
Show 2 more scenarios
Technology and integration teams
Sync orders and proof of delivery events
Cleaner operational telemetry
Connect Bringg event streams to downstream systems for customer updates and analytics.
Logistics program owners
Run scheduled and same-day delivery
Higher on-time rate
Apply delivery workflow configuration to meet delivery window compliance across stops.
Best for: Fits when carriers need stop-level workflow automation with strong API integration across multi-stop routes.
FarEye
enterpriseLast mile delivery management platform for route planning, real-time tracking, and delivery analytics.
Exception-driven re-dispatch and delivery confirmation handling keeps stop-level execution consistent when access, address, or contact issues block completion.
FarEye fits teams that need stop-level execution controls rather than only visibility, because it centers dispatch board workflows, route sequencing, and exception-driven rerouting or rescheduling. Delivery telemetry and ETA prediction support operational monitoring at the delivery and batch levels, which helps crews manage delivery windows and handle failed delivery handling loops. Integration depth matters here because FarEye must connect order sources, parcel tracking events, and mobile driver app interactions to keep the execution state aligned end to end.
A key tradeoff is governance discipline around exceptions, because teams must define which exception types trigger re-dispatch, customer notifications, or proof of delivery overrides. FarEye is a strong fit when delivery volumes are high and courier management spans multiple regions, where address validation issues and failed attempts occur frequently enough to justify automation. The tool is also well suited when operations teams need consistent delivery confirmation outcomes across large carrier networks.
- +Exception management workflows route delivery fixes to the right teams quickly
- +Stop-level tracking and POD capture supports consistent delivery confirmation outcomes
- +Dispatch board supports operational control across multi-stop route execution
- +Automation rules reduce manual re-planning during delivery failures
- –Exception automation needs careful configuration to avoid wrong re-dispatch triggers
- –Operational success depends on clean event feeds from order and tracking systems
- –Some advanced workflows require implementation support beyond basic setup
- –Large network rollouts can require process alignment across couriers
Last mile operations teams
Resolve delivery failures at stop level
Fewer missed stops
Dispatch and planning managers
Run multi-stop delivery execution
More on-time deliveries
Show 2 more scenarios
Customer support leaders
Handle status changes with auditability
Lower support handling time
Delivery tracking and POD capture provide confirmation context for customer notifications and case resolution.
Integration engineering teams
Connect orders and courier events
Fewer data mismatches
Integration and automation interfaces synchronize order updates, tracking events, and execution state across systems.
Best for: Fits when operations teams need dispatch control, exception workflows, and POD capture for dense last mile networks.
Detrack
SMBDelivery tracking and electronic proof of delivery app for last mile operations.
Stop execution timeline with proof of delivery status updates that align to route progress and exception events.
Detrack is a last mile delivery system focused on operational control from dispatch through delivery confirmation. It supports driver assignment, stop-level tracking, and proof of delivery workflows in a way that fits multi-stop routes.
The core differentiator is dispatch guidance built around route execution, including exception handling when stops fail or events occur out of sequence. Detrack also emphasizes operational visibility for teams that need consistent delivery telemetry and audit trails tied to each stop.
- +Stop-level proof of delivery tied to each route execution event
- +Dispatch workflows map directly to driver dispatch and multi-stop routing
- +Delivery exception handling keeps failed stops from stalling the route
- +Delivery tracking supports operational visibility across the route lifecycle
- –Integration depth for non-native warehouse and TMS workflows can require engineering time
- –Advanced automation beyond basic dispatch rules needs more configuration discipline
- –Geocoding accuracy and address validation depend on how routes are prepared upstream
- –Reporting depth for custom KPIs can be limited without additional tooling
Best for: Fits when mid-market logistics teams need stop-level proof of delivery and dispatch control without heavy custom engineering.
Cigo
SMBLast mile delivery tracking platform with route optimization and proof of delivery.
Electronic proof of delivery capture tied to stop updates for exception-aware confirmation workflows.
Cigo provides last-mile execution controls that connect driver workflows to delivery status updates at stop level. It centers delivery tracking with electronic proof of delivery capture and exception handling so dispatch can react to missed service events.
Cigo also supports operational configuration for routes and sequencing through a dispatch board style workflow that keeps drivers and coordinators aligned. The overall focus stays on delivery telemetry collection and proof artifacts used for confirmation and operational follow-up.
- +Stop-level proof capture reduces ambiguity during delivery confirmation
- +Delivery exception handling supports faster coordinator follow-up
- +Dispatch workflow keeps driver and coordinator status aligned
- +Operational telemetry supports review of delivery outcomes
- –Automation depth for complex multi-leg workflows appears limited
- –Integration coverage for ERP and WMS systems may require custom work
- –Address quality controls may need disciplined data setup
- –Governance features for large courier networks need stronger RBAC clarity
Best for: Fits when mid-size logistics teams need stop-level POD capture with coordinated exception workflows.
Descartes Last Mile
enterpriseDescartes Last Mile supports route planning, delivery execution, tracking, and proof of delivery.
Stop-level delivery exception workflows that connect missed attempts and address issues to driver execution and proof outcomes.
Descartes Last Mile targets carriers and retailers that need dispatch-to-driver workflows with stop-level execution control. The core capabilities cover driver dispatch planning, delivery tracking with proof capture workflows, and delivery exception handling for failed attempts and address issues.
Automation and extensibility show up through integration points that connect orders, routing outputs, and event feedback into last mile operations. Administrative governance centers on user permissions for dispatch and operations staff and auditability of key delivery lifecycle actions.
- +Dispatch and stop sequencing align with real execution work on mobile devices
- +Proof capture workflows support consistent delivery confirmation across drivers
- +Delivery exception handling covers missed deliveries and address-related failures
- +Integration-focused event flow supports operational visibility from planning through delivery
- –Operational behavior depends on upstream data quality from routing and address systems
- –Exception workflows need careful configuration to match each carrier and region
- –Deep custom automation may require engineering effort beyond basic setup
- –Operational dashboards can lag behind field status updates during high event volume
Best for: Fits when teams need driver dispatch, proof capture, and exception management with strong integration into order and routing feeds.
LogiNext Mile
enterpriseLogiNext Mile manages dispatch, dynamic routing, driver tracking, and delivery execution.
Stop-linked delivery confirmation records tie proof of delivery capture and exception outcomes to the same execution unit.
LogiNext Mile from LogiNext Solutions is positioned for last mile operations that need stop-level dispatch workflows and proof of delivery capture tied to field execution. The core capabilities center on driver dispatch, delivery tracking, and delivery confirmation workflows with electronic proof of delivery artifacts.
It also focuses on delivery exception management so failed delivery handling and rescheduling can be recorded against the same stop record. Admin controls focus on operational configuration for route execution and courier handoff rather than only reporting views.
- +Stop-level dispatch workflows connect driver assignment to proof of delivery
- +Delivery exception handling keeps failed delivery outcomes attached to stop records
- +Mobile delivery confirmation supports barcode-driven field capture workflows
- +Operational configuration covers route execution rules for multi-stop deliveries
- –Extensibility and API surface are not clearly documented for deep custom integrations
- –Geospatial controls like geofencing need careful setup to avoid false exceptions
- –Advanced optimization like dynamic routing is limited compared with route-first suites
- –Role governance and audit trail depth are unclear for multi-tenant governance needs
Best for: Fits when mid-market fleets need stop-driven dispatch and electronic proof of delivery with reliable exception logging.
project44
API-firstproject44 provides shipment visibility, delivery tracking, ETA data, and final-mile orchestration.
Shipment status derived from high-frequency delivery telemetry and stop event reconciliation, delivered through API and webhooks for operational automation.
project44 positions last mile tracking around delivery visibility that stays consistent from dispatch to proof of delivery. The system ingests carrier and parcel telemetry, normalizes it into shipment and stop-level events, and routes delivery status through configurable workflows.
Teams can use driver and delivery signals to manage delivery exceptions, coordinate interventions, and support delivery window compliance with real-time updates. The integration surface centers on an API for event ingestion and webhooks for status changes that fit into existing TMS and OMS processes.
- +Stop-level event normalization supports consistent tracking across carriers
- +API and webhooks provide near real-time shipment and status updates
- +Exception workflows connect telemetry signals to operational actions
- +High geospatial accuracy improves address-level visibility for deliveries
- –Exception tuning can require careful workflow design for low signal noise
- –Coverage depends on upstream telemetry quality from connected parties
- –Role setup and operational governance need defined ownership and review
- –Mobile driver app features are limited compared to dispatch-first vendors
Best for: Fits when logistics teams need stop-level visibility and exception workflows tied to delivery events across multiple carriers.
Samsara
enterpriseSamsara combines fleet telematics, driver workflows, GPS tracking, and delivery operations data.
Proof of delivery capture linked to stop-level execution events inside driver workflows and later operational review.
Samsara captures delivery telemetry from vehicles and mobile devices to support stop-level tracking and field-based exception handling across last mile routes. The core workflow centers on driver dispatch and route execution, then links proof of delivery capture back to specific stops for operational review.
Address validation and geofencing can reduce the mismatch between scheduled locations and actual arrival points. Samsara also exposes an API for integrating delivery events, device status, and workflow metadata into dispatch, OMS, and analytics systems.
- +Stop-level delivery telemetry ties vehicle, driver, and event timestamps together
- +Workflow integration with delivery devices supports proof of delivery capture at stops
- +API access supports custom event pipelines into dispatch and tracking systems
- +Geofencing supports arrival verification against configured service boundaries
- –Geofencing and location rules require careful setup to avoid false exceptions
- –Deep last mile UI workflows depend on compatible device and operational configuration
- –Exception handling is strong for routing events, but reverse logistics workflows need integration
- –RBAC and governance controls can require ongoing configuration for multi-team operations
Best for: Fits when operations need stop-level delivery events tied to fleet telemetry and dispatch for multi-stop routes.
Upper
SMBUpper creates optimized delivery routes and supports driver navigation, proof of delivery, and analytics.
Bidirectional delivery event synchronization that keeps dispatch boards aligned with in-transit and proof of delivery updates.
Upper is a last mile software solution focused on courier execution, live tracking, and delivery communications for distributed delivery operations. It provides dispatch-facing workflows, mobile delivery confirmation capture, and exception handling patterns that route teams can action from a central view.
Upper also exposes integration surfaces for syncing shipments, status updates, and proof of delivery events with downstream systems. Teams typically use it to connect a dispatch board to carrier networks and reduce manual calls during failed delivery handling.
- +Dispatch workflows connect shipment lifecycle to driver delivery actions
- +Delivery confirmation capture supports accurate proof of delivery collection
- +Status and event integrations fit warehouse order management and support systems
- +Exception handling workflows reduce manual intervention during delivery failures
- –Deep routing logic depends on upstream route planning systems
- –Geofence tuning and address quality affect alert accuracy
- –Automation design requires clear operational ownership to avoid duplicate actions
- –Limited visibility into network-wide capacity planning without extra integration
Best for: Fits when operations teams need courier execution, proof collection, and event sync across multiple carriers.
Conclusion
After evaluating 10 transportation logistics, Onfleet 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 last mile software
Last mile software coordinates how dispatch turns planned routes into stop-level courier execution, then turns delivery events into proof of delivery outcomes. This guide covers Onfleet, Bringg, FarEye, Detrack, Cigo, Descartes Last Mile, LogiNext Mile, project44, Samsara, and Upper.
Across these tools, the practical differentiator is how stop events, delivery confirmation, and exceptions move between dispatch boards, driver workflows, and external order or tracking systems through integrations and APIs.
Last Mile Software: stop-level dispatch, delivery confirmation, and exception workflows
Last mile software manages execution at the stop level, including delivery confirmation capture and delivery exception handling tied to the same route progress context. It also tracks how courier actions propagate back to operations with stop events that support operational decision-making and proof of delivery auditing.
Onfleet stands out for stop-level proof of delivery capture that ties photo and signature to each stop event, and for dispatch board visibility into delivery progress and exceptions by route and courier. Bringg stands out for stop-level orchestration that drives automated state transitions across planning, delivery confirmation, and exception workflows via API integration across multi-stop routes.
Evaluation criteria for stop-level delivery execution
Stop-level dispatch control matters because it connects the planned route to the courier actions that produce each stop event and delivery confirmation. Delivery confirmation and exception handling matter because operations need consistent outcomes when addresses fail, access is blocked, or contact details are wrong.
Stop-linked proof of delivery capture
Onfleet ties photo and signature to each stop event for operator auditing. Detrack and LogiNext Mile attach proof of delivery status updates to stop execution so exceptions reference the same delivery unit.
Exception-driven re-dispatch and confirmation workflows
FarEye uses exception-driven re-dispatch and delivery confirmation handling to keep stop-level execution consistent when access or address issues block completion. Descartes Last Mile connects missed attempts and address issues to driver execution and proof outcomes.
Stop-level orchestration across planning to confirmation
Bringg performs stop-level orchestration that drives automated state transitions from planning through delivery confirmation and exception workflows. project44 focuses on stop event normalization so shipment status stays consistent across connected parties.
Dispatch board visibility and progress reporting
Onfleet’s dispatch board shows delivery progress and exceptions by route and courier to support operational control. Onfleet’s stop event visibility is paired with the driver app’s proof capture so the operational timeline stays grounded in executed outcomes.
Integration depth and automation surface
Bringg’s API-driven integration aligns dispatch, driver, and customer status via order and tracking systems for end-to-end event flow. project44 provides API and webhooks for near real-time stop event reconciliation and operational automation.
Stop-level event normalization and telemetry alignment
project44 uses high-frequency delivery telemetry and stop event reconciliation to derive shipment status and propagate it through API and webhooks. Samsara ties stop-level delivery telemetry to vehicle, driver, and event timestamps so operational review can match fleet signals to delivery events.
How to choose last mile software by execution model
The first decision is whether the system drives stop lifecycle state through orchestration logic or whether it emphasizes visibility by normalizing external stop events. The second decision is how exceptions get corrected, either by automated workflow triggers or by operator-guided re-dispatch tied to proof outcomes.
Pick the stop lifecycle control approach
Choose Bringg when stop-level workflow orchestration must move through planning, delivery confirmation, and exception outcomes using stop-driven automated state transitions with API integration across multi-stop routes. Choose project44 when stop-level visibility and operational automation must be derived from high-frequency delivery telemetry and delivered through API and webhooks.
Select how proof of delivery stays attached to execution
Choose Onfleet when proof capture must bind photo and signature directly to each stop event for operator auditing. Choose Detrack or LogiNext Mile when proof-of-delivery status updates must align to route progress and exception events at the stop execution timeline.
Decide which exception philosophy fits the operation
Choose FarEye when exception-driven re-dispatch must route delivery fixes to the right teams quickly while keeping stop-level execution consistent. Choose Descartes Last Mile when missed attempts and address issues must connect to driver execution and proof capture outcomes across mobile workflows.
Validate routing and address data dependency tolerance
Choose Onfleet only if stop addresses and geocoding quality are consistent because routing outcomes degrade when stop addresses are inconsistent or poorly geocoded. Choose Upper when upstream route planning systems drive deep routing logic and when geofence tuning and address quality must be managed to avoid false exceptions.
Assess integration engineering cost for non-native warehouse and TMS work
Choose Detrack when stop-level proof and dispatch control must work without heavy custom engineering, but plan for integration engineering time if non-native warehouse and TMS workflows need deeper integration depth. Choose Bringg when custom delivery workflows and carrier-specific rules require higher implementation effort but deliver stronger API integration across systems.
Who should buy based on operational needs
Different last mile software products align to different operational control points. Teams that need stop evidence and exception accountability should prioritize stop-linked proof capture, while teams that need cross-carrier event reliability should prioritize stop event normalization and telemetry reconciliation.
Mid-size logistics teams running dispatch control across routes
Onfleet fits dispatch workflows that need stop-level proof of delivery capture plus dispatch board visibility into delivery progress and exceptions by route and courier.
Carriers coordinating multi-stop workflows across dispatch, driver, and customer status
Bringg fits stop-level orchestration that keeps status aligned via automated state transitions and API integration for end-to-end event flow across multi-stop routes.
Dense last mile networks with frequent access and address failures
FarEye fits operations that depend on exception-driven re-dispatch and delivery confirmation handling to keep stop execution consistent when access or address issues block completion.
Teams aggregating events across multiple carriers and sources
project44 fits stop-level event normalization where shipment status is derived from delivery telemetry and delivered through API and webhooks for operational automation.
Fleets that rely on device-based telemetry and stop timestamps for operational review
Samsara fits stop-level delivery telemetry that ties vehicle, driver, and event timestamps together for later operational review.
Common failure modes when buying last mile software
Many last mile failures come from mismatched execution modeling, where the software’s exception triggers do not match how the business resolves failed stops. Other failures come from unprepared data feeds, where routing and location rules generate wrong exceptions or sequencing drift.
Selecting a tool with stop address or geofence sensitivity without fixing upstream address quality
Onfleet routing outcomes degrade when stop addresses are inconsistent or poorly geocoded, so address validation and geocoding accuracy work must be paired with implementation. Upper also depends on geofence tuning and address quality to avoid false exceptions.
Assuming exception automation will behave correctly without workflow configuration discipline
FarEye exception automation needs careful configuration to avoid wrong re-dispatch triggers, so exception tuning must match real operational resolution paths. Descartes Last Mile exception workflows require careful configuration to match each carrier and region.
Underestimating integration effort for custom delivery workflows and non-native systems
Bringg implementation effort rises with custom delivery workflows and carrier-specific rules, so complexity must be budgeted for API-driven integration. Detrack integration depth for non-native warehouse and TMS workflows can require engineering time.
Ignoring the dependency between event feeds and exception outcomes
FarEye operational success depends on clean event feeds from order and tracking systems, so event quality gaps translate into incorrect exception handling. project44 coverage depends on upstream telemetry quality from connected parties, so low signal noise must be addressed in the source systems.
How We Selected and Ranked These Tools
We evaluated stop-level proof of delivery capture and stop execution alignment because these mechanisms determine whether delivery outcomes stay auditable across operations. We weighted features at 40% to reflect dispatch boards, stop-level workflows, and exception handling coverage across planning to confirmation.
We weighted ease of use at 30% and value at 30% to reflect how quickly teams can adopt driver app workflows and operational processes without excessive rework. Onfleet separated on stop-level proof of delivery capture that ties photo and signature to each stop event and on dispatch board visibility into delivery progress and exceptions by route and courier.
Frequently Asked Questions About last mile software
How do Onfleet and Detrack differ in stop-level proof of delivery capture workflows?
Which tool best fits dispatch teams that need stop-level delivery exception management tied to execution state?
How do project44 and Upper handle event delivery status updates when orders move across multiple carriers?
When does Samsara’s geofencing and address validation reduce delivery mismatches?
What breaks if an organization relies only on delivery tracking and skips proof artifacts?
How do Bringg and Upper differ in API surface for integrating order systems, OMS, and dispatch tooling?
Which platforms provide stronger administrative controls for dispatch and operations staff without custom governance work?
How does reverse logistics or failed delivery handling get recorded against the same stop record?
What tradeoff appears when exception-driven re-dispatch decisions are executed at stop level versus shipment level?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
- Transportation LogisticsTop 10 Best Last Mile Tracking Software of 2026
- Transportation LogisticsTop 10 Best Last-Mile Delivery Software of 2026
- Transportation LogisticsTop 10 Best Last Mile Delivery Tracking Software of 2026
- Transportation LogisticsTop 10 Best Final Mile Routing Software of 2026
- Consumer RetailTop 10 Best Ecommerce Last Mile Delivery Software of 2026
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