Product

Six capabilities built for the pre-departure window

Parcelarc integrates with the dispatch platforms and telematics tools your carrier already uses. No new routing system, no new driver workflow.

What post-cutoff manual patching costs regional carriers every morning

Regional parcel carriers running 500 to 5,000 daily stops across 10 to 60 delivery routes share a common problem: the automated overnight route plan locks at midnight, but the exceptions keep arriving until 6:00 a.m. Driver call-outs, late inbound sortation parcels, vehicle failures, and business time-window conflicts arrive after the routing software has finished its work—and has no mechanism to re-solve.

The result is a daily manual patching session. Dispatchers absorb 20 to 40 post-cutoff exceptions every morning by hand, reordering stop sequences by feel rather than by constraint solver. At a 40-route carrier, this consumes an average of 73 minutes of dispatcher time per day and degrades route efficiency by 9 to 18 percent versus what an optimized sequence would have produced.

The added cost is measurable. Manual re-routes average $14 to $32 in added fuel and driver overtime per affected route. On a carrier running 40 routes with 15 routes affected each morning, that compounds quickly. And because dispatchers are patching sequences rather than solving them, the same problem recurs the next morning.

The routing software is not the problem. Route4Me and OnFleet produce good plans at midnight. The gap is in the 4:00 to 7:30 a.m. window between when the plan locks and when drivers depart—a window where no automated re-optimization exists and human dispatchers absorb every constraint change by hand.

Parcelarc fills that gap. It is not a routing system replacement. It is the post-cutoff intelligence layer that existing routing software lacks: a constrained re-optimization engine that runs on a 10-minute cadence during the pre-departure window, absorbing every exception and writing revised sequences back to the dispatch platform before drivers sync their manifests.

The dispatch workflow does not change. The driver workflow does not change. The constraint logic that produced the original plan is the same logic Parcelarc uses to re-solve it—the difference is that the re-optimization runs automatically, with full constraint visibility, every 10 minutes instead of once the night before.

From locked dispatch plan to optimized departure

Parcelarc reads from the systems carriers already have, solves against live constraints, and writes revised sequences back before driver manifest sync. The entire loop runs without dispatcher manual entry.

01

Ingest dispatch queue and live feeds

Parcelarc reads the locked dispatch queue from Route4Me or OnFleet and opens live connections to Samsara and Motive ELD feeds, consuming driver GPS positions, hours-of-service status flags, and mobile-app check-in signals every 30 seconds. Parcel scan events and manifest updates stream in from the carrier’s sortation system as they arrive.

02

Detect and queue post-cutoff changes

Late manifest additions, driver call-outs, vehicle pre-trip failures, and road closure events are detected as they occur and queued as constraint changes for the next solve cycle. Time-window violations introduced by late parcel arrivals are flagged immediately so they are factored into the next re-optimization run rather than discovered at departure.

03

Solve against live constraints every 10 minutes

Every 10 minutes from 4:00 a.m. through 7:30 a.m., the re-optimization engine solves the modified vehicle routing problem using the current dispatch queue as the warm-start state. Each solve runs the full constraint set: time windows, vehicle capacity, driver break rules, service time estimates, and road closure exclusions. Routes that do not produce a net improvement above the dispatcher-configured threshold are left unchanged.

04

Write revised sequences back to dispatch platform

Improved stop sequences write back to Route4Me or OnFleet through native API connectors before drivers sync their manifests at start-of-shift. Drivers see the correct sequence in their existing app without any change to their morning routine. Dispatchers receive a change summary showing which routes were modified, how many stops were reordered, and the projected time savings—with one-click rollback if they disagree with the recommendation.

What happens in the 4:00 to 7:30 a.m. window

Post-Cutoff Re-Optimization Loop

Recompute route sequences every 10 minutes during the pre-departure window

Parcelarc runs a route re-optimization solve on a 10-minute cadence from 4:00 a.m. through 7:30 a.m. local time, absorbing every manifest change, driver status update, and parcel scan event that arrives after the initial dispatch plan is locked. Routes that do not improve are left unchanged.

Post-Cutoff Re-Optimization Loop visualization

Live ELD and Telematics Feed

Use real driver positions and status flags as re-optimization constraints, not assumptions

Parcelarc maintains a live connection to Samsara and Motive ELD feeds, consuming driver GPS position, hours-of-service status, and mobile-app check-in signals every 30 seconds during the pre-departure window. When a driver calls out sick or a vehicle fails a pre-trip inspection, the system detects the status change and immediately re-solves affected routes to redistribute stops across available drivers.

Live ELD and Telematics Feed visualization

Dispatch Queue Write-Back

Push revised stop sequences directly into Route4Me and OnFleet before driver app sync

Revised stop sequences write back to the carrier's existing dispatch platform through native API connectors, overwriting the original sequence before drivers sync their manifests at start-of-shift. Dispatchers see a change summary showing which routes were modified, with a one-click rollback option if they disagree with the recommendation.

Dispatch Queue Write-Back visualization

Time-Window Conflict Resolution

Flag and auto-resolve time-window violations introduced by late-arriving parcels

When a late parcel scan creates a time-window conflict, the constraint solver elevates the time-sensitive stop and adjusts surrounding stops to compensate. Conflicts that cannot be resolved within driver hours or vehicle capacity constraints surface as exceptions in the dispatcher exception queue rather than silently failing.

Time-Window Conflict Resolution visualization

Route Efficiency Reporting

Quantify the stop-reorder impact on miles driven, fuel cost, and on-time delivery rate

The reporting dashboard shows daily and weekly comparisons of planned versus optimized route metrics. Operations managers can drill into individual routes or drivers to identify recurring problem patterns. Data exports to CSV for upload into existing reporting tools.

Route Efficiency Reporting dashboard

Geofence Closure Detection

Automatically reroute around construction, road closures, and weather events before departure

Parcelarc maintains a real-time geofence monitor consuming municipal road-closure feeds and Geotab traffic event data. When a closure affects a planned route corridor, the system flags affected stops and runs a targeted re-solve to route around the blocked segment before driver departure.

Geofence Closure Detection map view

Built for regional parcel carriers, not national fleets

The right fit

Parcelarc is built for regional parcel carriers running 500 to 5,000 daily stops across 10 to 60 delivery routes, in the $8 million to $80 million annual parcel revenue range. These are carriers with daily post-cutoff exception volumes that are large enough to hurt route efficiency but too small to justify building a custom re-optimization layer internally.

If your dispatch team spends more than 30 minutes every morning manually patching route sequences after the overnight plan locks, you are in the target range. If your carrier absorbs driver call-outs, late inbound parcels, and time-window conflicts by hand before driver departure, Parcelarc is designed for that exact operational pattern.

Carriers already using Route4Me or OnFleet for dispatch, and Samsara or Motive for ELD compliance, can connect Parcelarc through native API integrations without replacing any existing system or changing driver workflows.

Not the right fit

National parcel carriers with proprietary routing technology teams—FedEx, UPS, and USPS tier operations—already have engineering resources dedicated to re-optimization. Parcelarc does not compete in that segment and does not build for it.

Single-van courier owner-operators running fewer than 10 routes do not have the post-cutoff exception volumes that justify a re-optimization layer. The manual patching time at that scale is manageable without automation.

Carriers using routing platforms outside the current integration set may require a custom connector assessment before onboarding. Contact us to discuss your specific dispatch platform before starting a pilot.

Connects to the platforms your carrier already uses

Parcelarc reads from and writes back to dispatch platforms and telematics systems through native API connectors. The dispatch queue source stays Route4Me or OnFleet. The telematics source stays Samsara, Motive, or Geotab. Parcelarc adds the re-optimization layer on top—no rip-and-replace, no parallel system for dispatchers to manage.

SAM Samsara Fleet
MOT Motive ELD
GEO Geotab
4K FourKites
R4M Route4Me
ONF OnFleet
BRG Bringg
FLX Flexport

Ready to see it on your dispatch data?

Bring a week of morning dispatch logs. We will show you what the re-optimization layer would have changed on your specific routes and stop volumes.