Revenue Leakage Review
Find evidence-backed leaks in historical delivery and billing data — the first step toward ongoing revenue leakage detection and prevention.
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The operating system for regional delivery companies
LocalDeliveryOS connects every step — order entry, dispatch, delivery, proof, billing, customer payment, driver pay, and margin — so completed work never disappears between disconnected systems.
One order. One operational record. One financial truth.
Illustrative order journey — one delivery becoming revenue
Order #1842
Same Day · requested by 2:00 PM
Commerce City → Downtown Denver
Order entry
Stage 1 of 12 — Order entry
The delivery isn't finished when the package arrives.
Delivered. Billed. Customer paid. Driver paid. Understood.
Not every order completes this journey
Order #1764 · Delivered March 4 · POD on file · no matching invoice line · potential unbilled $58.50 · human review required
Start by finding the orders that never completed the journey.
Illustrative order journey
Order #1842
Same Day · requested by 2:00 PM
Commerce City → Downtown Denver
Order entry
Stage 1 of 12 — Order entry
The delivery isn't finished when the package arrives.
Delivered. Billed. Customer paid. Driver paid. Understood.
Not every order completes this journey
Order #1764 · Delivered March 4 · POD on file · no matching invoice line · potential unbilled $58.50 · human review required
Start by finding the orders that never completed the journey.
Operational and financial core
The launch system is shaped around the real company workflow: get work in, move it through operations, validate the charge, bill the customer, track payment, settle driver pay, and report on what happened.
Run the practical delivery workflow from order entry through driver execution and customer visibility.
Connect delivery evidence to pricing, billing, payments, driver pay, and reconciliation workflows.
Smart delivery promises
Every promise is computed from the service rule, the traffic on the route right now, the fleet's current capacity, and your company's delivery hours - so the time on the order is a commitment the fleet can meet, and the customer sees it hold.
Service types you define
Standard, Rush, Same Day - each company defines its own services with rules like within a set time of ready, drive time plus a buffer, or a same-day cutoff.
Delivery hours and after-hours policies
Set your daily window and Saturday/Sunday delivery days. A promise that lands outside moves to the next window, or stays with an after-hours fee - your policy, with a per-order dispatcher override.
A timer that pauses honestly
Quoted times account for live traffic on the route and today's workload. When the work runs past the delivery window, the timer pauses and resumes at the next one - never one hour when ninety is realistic.
Assignment risk radar
The dispatch board flags deliveries that will miss their promise - scored from live traffic, current driver positions, and today's capacity - and recommends the better driver or an unassign before the customer calls. Dispatchers get push alerts the moment a new risk appears.
Revenue Leakage Review
Delivered work can fall through the gaps between dispatch, proof of delivery, rate cards, invoicing, payments, and accounting. The Revenue Leakage Review compares those records to identify potential billing gaps, beginning with completed deliveries that may never have reached an invoice.
You decide how to handle each finding. We help you understand why the leakage occurred and how to prevent it from continuing.
Find My Revenue LeaksCompleted delivery
Order 1764
Delivered March 4 · 11:02 AM
Invoice comparison
No corresponding invoice line
Matched on order number, reference, tracking, and job number
Potential unbilled delivery
$58.50
Flagged for review with its evidence attached.
Customer QBR reports
LocalDeliveryOS builds a branded, presentation-ready quarterly business review from the deliveries you already ran: revenue and shipment trends, top and bottom lanes, on-time percentage, accessorial breakdown, and a receivables summary. It carries your company name, logo, and colors - ready to print or save as PDF and bring to the meeting.
Your biggest customer sees their negotiated rate, their volumes, and your on-time record - in your branding, on your terms.
Your company name here
Quarterly business review
Prepared for the customer
Pick the period - last quarter, this quarter, or a custom range - then print or save as PDF. The numbers come from your own delivery and billing records, so every figure traces back to real work.
Evidence and traceability
Every important amount can be traced back to the delivery event that created it — and to the review decision that approved it. What happened in the field, what was billed, what was collected, and what the driver was paid stay linked in one chain. Driver breadcrumb trails add the where: live on the dispatch map, with look-back history per driver and per order, so a where-was-the-driver dispute gets answered with facts.
One delivery, one money trail: the charge, the invoice line, the payment, and the driver settlement all point back to the same delivery record and the review decisions behind it.
AI-assisted, human-controlled
AI assistance is already at work where it earns its place: billing exception review drafts the summary and the evidence, and dispatch recommendations surface the best driver with the basis visible. Core workflows always remain available for manual operation, and people keep the final say on consequential decisions.
Surface exception context, import health, and finding explanations.
Suggest next steps while making the basis visible to the operator.
Keep consequential actions under human review, modification, or rejection.
Preserve final decisions, notes, and workflow history for later review.
Manual fallback and resilience
If an AI service goes quiet, dispatchers and drivers keep working - no critical workflow depends on it. The installable driver app keeps working offline: status updates, proof of delivery, and package scans queue on the device and sync when the connection returns. Failures stay visible instead of hidden, with manual paths preserved throughout.
Manual operation for critical workflows
Offline driver app: queued status updates, POD, and scans sync on reconnect
Cached assignments and proof capture on the driver's device
Visible processing and synchronization states
Retryable background jobs for key workflows
Exportable active-order manifests
RoadmapProgressive adoption
Regional delivery companies should not have to replace everything in one jump. Each stage builds on the records and workflows of the one before it.
Find evidence-backed leaks in historical delivery and billing data — the first step toward ongoing revenue leakage detection and prevention.
Connect pricing, billing, payments, settlements, and reporting.
Move order entry, dispatch, driver workflow, and customer visibility into the core.
Layer in recommendations and policy-bound automation while retaining control.
Founding Fleet beta
LocalDeliveryOS is opening a small founding cohort of local delivery companies running real operations today. Founding members shape what gets built next, get hands-on onboarding, and keep founding-member pricing for as long as they stay on the platform.
Founding pricing, locked in
Founding Fleet members keep their beta rate for as long as they stay on the platform.
Direct line to the builders
Your feedback goes straight to the team shipping the product, and your workflow shapes what gets built next.
Hands-on onboarding
We import your customers, set up your branding, and stay with you through your first live deliveries.
Start with a Revenue Leakage Review: see what your delivery and billing history says, review the evidence with your team, and expand into the operating core when the timing is right.
The review reads from your exports and never changes production records.
Revenue Leakage Review
Delivered work can fall through the gaps between dispatch, proof of delivery, rate cards, invoicing, payments, and accounting. Tell us about your operation and we'll follow up to discuss your workflow, your data, and whether a Revenue Leakage Review is a good fit.
The goal is not to create surprise invoices for your customers. It is to understand what happened, decide how to handle each finding, and prevent the same leakage from continuing — every finding requires human review, and you decide how it's handled.