15-25%fuel cut
Typical first-90-day savings on single-depot pilots
Route Optimization
AI plans daily routes that cut fuel costs 15-25% and fit more pickups per shift.
WasteOS
Smarter routes, fewer empty miles
Route optimization and dispatch management built for waste haulers and recycling operators — backed by the same routing stack we use for permit and field operations.
Route comparisonContainer operationsDispatch exceptions
The status quo
What waste haulers deal with every day
- Dispatchers plan routes by memory and gut feel — leaving money on the table every shift
- No visibility into where containers are until a driver calls in or a customer complains
- Billing lags behind service by days, leading to disputes and lost revenue
What we deliver
What WasteOS does
02
Container Tracking
Real-time GPS on every dumpster — know where everything is, always.
03
Smart Dispatch
Automated scheduling that balances driver workload, service windows, and route efficiency.
04
Demand Prediction
Forecast service demand by zone and customer type to optimize fleet positioning.
05
Service-Verified Billing
Invoicing tied to actual delivery data — no manual entry, no disputes.
Proof-led positioning
What this page needs to make obvious
Waste logistics software, waste route optimization, container tracking, and dispatch optimization.
Route comparison
Compare current routes with optimized sequences, mileage, time windows, and constraints.
Container operations
Track container location, status, service events, and utilization patterns.
Dispatch exceptions
Missed pickups, blocked access, call-backs, and driver confirmations stay visible.
Proof workflow
Input, review, evidence, output.
Modeled on the live Geospatial Solutions demos: the page should show what the buyer sends, what they review, what evidence stays visible, and what they receive.
Input
One depot, stop list, container data, driver constraints, service windows, and missed-pickup pain points.
Review surface
We compare routes, container status, exceptions, and dispatch handoff requirements.
Evidence
Route alternatives show constraints, service notes, exceptions, and what needs dispatcher review.
Output
Depot pilot plan, optimized route surface, driver confirmation flow, and savings review.
Source and limits
Technical trust should stay visible.
Confidence
Operational gains should be measured in one depot before broader rollout.
Caveat
Optimization must respect service windows, driver reality, and local constraints.
Source
Depot routes, customer stops, container records, driver events, billing exports, and service windows.
QA boundary
Route feasibility checks, exception review, and dispatcher validation.
Export path
Pilot dashboard, route plan, exception queue, CSV export, and implementation scope.
Before the first call
What you send · What you get
No vague discovery phase. You bring four or five things, we return a specific plan you can evaluate.
→ What you send
- 1Depot location and truck count
- 2Current dispatch process (manual, software-assisted, none)
- 3Service area boundaries and customer mix (commercial, residential, roll-off)
- 4Billing platform and integration needs
← What you get back
- 1Route benchmark vs current dispatch (typical day, sample 5 routes)
- 2Fuel + labor savings projection at 90-day mark
- 3Instrumentation recommendation (cellular GPS vs driver-app)
- 4Pilot scope with fixed fee and 60-day measurement plan
- 5Integration architecture for billing + customer service
Deliverables
What you walk away with
- Optimized daily routes deployed to your dispatch system
- Live container tracking and service verification dashboard
- Billing automation tied to verified delivery events
- 15-25% fuel reduction and 1-2 additional pickups per truck per shift (typical)
How we work
A scoped path from sample data to running system
No open-ended retainers. No "discovery phases" that bill for months without producing anything you can evaluate.
-
01
Depot audit
We instrument one depot — current routes, container locations, customer service windows — and benchmark fuel and labor against current ops.
-
02
Instrumentation
Cellular GPS on every container or driver-app tap-to-confirm at pickup. We size the right approach for your fleet and operating model.
-
03
Shadow mode
Optimized routes run alongside your current dispatch for 2 weeks. Dispatchers see both, drivers run current, we measure the delta.
-
04
Switchover
Full cutover with 30-day support. We monitor the dashboards, you run the operation. Switch to retainer or self-serve at the end.
Live on geospatialsolutions.co
Click into the actual work
These open the real, interactive demos on our main site — not screenshots, not videos. Click around before you decide to talk to us.
Why teams trust us
- Built by GIS engineers with 10+ years in spatial logistics
- PostGIS, Mapbox, custom routing algorithms, and the live foot-traffic data feed
- Designed for SMBs running 5-50 trucks
Private beta
Get early access to WasteOS
Free during beta. Built for waste haulers who want to stop guessing and start optimizing.
No credit card. We reply within one business day.
Questions teams ask before they engage us
Common questions, answered honestly
How does this compare to Routeware, Soft-Pak, or Trux?
We focus on the route optimization and container tracking layer specifically, not full ERP. We integrate with Routeware, Soft-Pak, Trux, and major billing platforms — we don't replace them.
What size fleet does this make sense for?
Best fit is 5-50 trucks per depot. Below 5 trucks, manual dispatch is often fine. Above 50, you need fleet-wide optimization which is a different engagement (we do those too).
How long until we see savings?
Most operators see measurable fuel reduction by week 4 of full deployment. The 15-25% target is typical at 90-day mark. We instrument before/after metrics during pilot so you can validate independently.
What if a driver refuses to follow optimized routes?
Driver flexibility is baked in — drivers can deviate when conditions warrant, system learns from the deviations. The optimization is decision support, not enforcement. Driver trust comes from accuracy, not policy.
More from Geospatial Solutions
Adjacent services your team may need
DumpsterOS
Dispatch optimization, container tracking, and demand prediction built for roll-off dumpster companies — runni…
Field Mapping
We turn inspections, asset inventories, environmental sampling, construction checks, and field surveys into mo…
GeoAI
Anchored in the NAIPAI pattern: ask aerial, drone, or satellite imagery useful questions, keep confidence and …
GIS Automation
We automate spatial workflows for municipalities, utilities, and infrastructure teams — asset inventory, surve…
Book a 15-minute demo
Pick one depot. We will show you the savings in 60 days.
Single-depot pilot: instrument your routes, run optimization in shadow mode for 2 weeks, switch over, measure for 6 weeks. Fixed pilot fee, usage-based pricing if you continue.
Pilot one depot