Waste & Recycling

AI and data for waste & recycling

Profitability in waste is decided at the service line, and the service line is buried under legacy coding, levy changes and the data of every business you have acquired. We understand the economics behind the service, which is a different thing from understanding the truck.

What we get asked

The questions that decide the year

Three things waste & recycling businesses ask us, in the words they use.

Which service lines stopped paying after the levy rise?

Have we passed the levy through on every affected contract?

What is this acquired book worth on our cost base?

Why a general tool can’t answer these

Every one of them needs your cost model, your contracts and your activity data. A public AI tool has none of those, so it can only give you the shape of an answer.

Where the work is

What actually moves the number in waste & recycling

01

Service profitability

By customer, site and service line, with levies and gate fees where they belong.

02

Pricing and levies

State levy movement passed through correctly, and evidenced when a customer asks.

03

Contracts

Municipal and commercial agreements read for what actually binds you.

04

Site performance

Volumes, contamination and recovery rates against the commercial outcome.

05

Master data

Customer, site and service records reconciled across legacy coding schemes.

06

Acquisitions

Bringing an acquired business’s data into your systems without losing history.

In practice

A question with the detail left in

This is what asking HeyMi looks like once it holds your business context. The length of the question is the point.

Data Mi usually starts here

  • Customer and site master
  • Service and bin coding
  • Legacy system migration
  • Acquired book integration
HeyMi — your businessSydney, Australia

Here is our last twelve months of P&L by product category, customer and site. Analyse it and identify where we could improve profitability.

FY26 P&L.xlsxCustomer masterSite cost model
1Three customers grew revenue and reduced contribution. All three moved to smaller, more frequent orders.
2Site B carries 2.4× the changeover hours of Site A on comparable volume.
3Freight recovery on the eastern lanes has fallen from 91% to 78% since the March rate change.

Answered from your data. Nothing left Australia.

Two ways in

Start with whichever problem is louder

Most businesses in this sector come to us for one of these. They are independent, so there is no wrong order.

HeyMi

Your business’s private AI.

AI your people can use on the company’s own numbers, contracts and documents. It runs on our servers in Australia, so nobody has to decide whether a question is safe to ask.

  • Analyse. Compare. Draft. Review. Forecast. Solve.
  • Works with your P&L, contracts, tenders and board papers
  • Nothing you put in trains anybody else’s model
Explore HeyMi

Data Mi

Better data. Ready for what’s next.

We clean, match and reshape business data, then turn that work into a process that runs again next month. You keep the process.

  • Clean. Map. Transform. Validate. Repeat.
  • ERP, TMS and WMS migrations that do not stall on data
  • The monthly file somebody rebuilds by hand, automated
Explore Data Mi

Talk to us

Talk to someone who has run one of these

Mattingly's people have sat in the operating seats in this sector. The first conversation is about your business, not our software.