Waste Industry Analytics & Dashboards | imPROVE analytics
Waste Industry Analytics

Your routes run daily. Your data should too.

Analytics built specifically for waste haulers, recyclers, and field-service operators — route efficiency, AR aging, and profitability on a governed data foundation. Built by people who ran BI inside the industry, not by generalists learning it on your dime.

Book a call → See what we deliver
ROUTE EFFICIENCY · LIFTS / HOUR
Why this matters in waste

Most operators don’t have a data problem. They have a visibility problem.

70%of companies still run the business on spreadsheets
20+ hrslost per employee each month working in spreadsheets
60%of AI projects without AI-ready data will be abandoned through 2026
$1MAR reduced at a single location in 3 months

Sources: BPM Partners / Vena; ThoughtSpot spreadsheet survey; Gartner. Last figure is an imPROVE client result.

The root cause

Why waste reporting fails to scale

Fragmented source systems
ERPs like TRUX, Routeware, and Navusoft rarely share a common data layer with labor and telematics platforms — so every report becomes a manual assembly job.
Route-level blind spots
Lifts per hour, missed pickups, and route profitability live in spreadsheets — if they exist at all.
Inconsistent KPI definitions
Operations, finance, and dispatch define performance differently. Leadership can’t decide when the numbers don’t agree.
Delayed visibility
By the time leadership sees route efficiency, AR aging, or margin, the window to act has already closed.
The road forward

A phased path to waste analytics transformation

Start with data. Build operator trust early. Let the technology earn its role.

Assessment
Establish the baseline
Benchmark routes, AR, and KPIs against what best-in-class operators measure. Leave with a maturity scorecard, a KPI gap analysis, and a prioritized roadmap.
Stage 1
Governed data foundation
Agree KPI definitions across ops, dispatch, and finance; connect TRUX, Routeware, and billing into one governed model with clean lineage — validated by operators.
Stage 2
Automated dashboards
Route, finance, driver, and executive reporting on scheduled refreshes. Manual reporting effort down 40–70%; Excel dependency eliminated.
AI Ready
Stage 3
AI readiness
Route forecasting, demand prediction, and labor planning — prioritized by ROI and baselined before deployment, on a foundation built for it.
What we deliver

Purpose-built visibility across the metrics waste operators care about most

Finance
AR Aging Dashboard
  • Aging buckets (current, 30/60/90+)
  • DSO trend over time
  • Past-due balance by customer
  • Collections velocity by region
Operations
Route Efficiency Dashboard
  • Lifts per hour by route and driver
  • Miles per route vs. benchmark
  • On-time completion rate
  • Downtime % by route and period
Margin
Route Profitability Dashboard
  • Revenue per route
  • Labor, fuel, and disposal cost per route
  • Gross margin by route and location
  • Cost-to-serve by service type
Workforce
Driver Scorecard
  • Lifts per hour per driver
  • On-time rate and missed pickups
  • Miles driven vs. route plan
  • Safety incidents and downtime events
Leadership
Revenue Dashboard
  • Revenue by location, service type, material
  • Month-over-month and YoY trend
  • New vs. recurring revenue split
  • Revenue per route and per truck
Growth
Top Customers Dashboard
  • Revenue ranking by customer
  • Service and material mix per account
  • Revenue trend and growth rate
  • Route and location assignment
Route Optimization Framework

Smarter routing, one stage at a time

A staged path from diagnosing the gap to AI that learns your drivers’ and dispatchers’ knowledge — with clear KPIs to measure ROI at every step.

15–25%lower fuel cost with optimized routing
12–20%fewer miles driven
~23%better on-time service performance
KPIsto measure ROI at every stage

Ranges reflect published route-optimization studies (CIGO Tracker, Oxmaint, 2025–26); actual results depend on your routes and baseline.

Prescription
Do I have a problem?
Benchmark miles, stops/hour, density, downtime, and cost per route against your line of business.
Stage 1
Dispatcher in the loop
Semi-automated daily rerouting from prior-day actuals and plan changes — recommendations the dispatcher reviews and applies.
Stage 2
Weather & traffic
Real-world conditions and telematics layered in — reactive rerouting for breakdowns, callouts, and mid-shift changes.
Stage 3
AI-driven optimization
A model that codifies driver and dispatcher knowledge, generates routes automatically, and pushes accurate ETAs to customers.
Where we deliver

Across the waste ecosystem

From independent haulers to multi-region, PE-backed platforms — the same governed foundation, tailored to your systems and structure.

Residential Collection
Curbside, recycling, yard waste, bulky item. Lifts per hour, miss rate, route density, retention by district.
Commercial & Industrial
Front load, roll-off, compactor, open-top. Revenue per container, driver productivity, disposal cost, account profitability.
Transfer & Disposal
Transfer stations, landfills, MRFs, C&D. Tons per shift, turnaround time, tipping fee vs. disposal cost, capacity utilization.
Multi-Site Operators
Regional haulers, PE-backed platforms, franchises. Cross-location benchmarking, consolidated AR/DSO, profitability by market.
Fleet & Maintenance
Downtime by vehicle and site, preventive vs. reactive ratio, fleet utilization, cost per truck per period.
Finance & Back Office
AR aging and DSO, month-end close cycle time, revenue by service and material, billing accuracy and dispute rate.
How we engage

You don’t have to go all in to get started

Every engagement starts where you are. Pick the entry point that fits — and grow from there.

Option 1 · 2 Weeks · Fixed
Discover
A dashboard proof of concept at a single location, tied to a real reporting need. A low-risk way to see the art of the possible.
Option 2 · 1 Month · Fixed
Connect
Automated reporting at a single location — one ERP source, daily refresh, two standard dashboards, documented KPI logic.
Option 3 · 3 Months · Recommended
Architect
A strategic, multi-location analytics foundation: data architecture, dimensional modeling, ERP pipelines, and three custom dashboards.
Option 4 · 6-Month Minimum · Scope-based
Enterprise
Full-scale transformation: multi-source integration, enterprise KPI governance, an executive and operational dashboard suite, and an AI-readiness roadmap.

Managed Support & Maintenance is available as an ongoing add-on — dashboard updates, pipeline health, and new KPI requests.

Questions, answered

Waste analytics FAQ

Do you work with our ERP?

Yes. We routinely build on TRUX, Routeware, and Navusoft, and integrate billing, labor, and telematics into one governed model — rather than leaving every report as a manual assembly job.

How quickly can we see something real?

A two-week Discover engagement produces a working dashboard tied to an actual reporting need, using an existing ERP extract — before any larger commitment.

What can we expect to improve?

Automated dashboards typically cut manual reporting effort 40–70% and give daily route and AR visibility. Published route-optimization studies report 15–25% lower fuel cost, 12–20% fewer miles, and meaningfully better on-time performance — actual results depend on your routes and baseline.

Are you ready to do AI in waste?

Only once the foundation is ready. We audit data quality and governance, prioritize use cases by ROI, and baseline metrics before deployment — because Gartner expects 60% of AI projects without AI-ready data to be abandoned through 2026.

Let’s start the conversation

Tell us where your operation feels the pain.

We’ll show you where we can make the biggest difference, fast. Engagements can start in two weeks.

Book a call → kyle@improvegrp.com