Acme Intelligence

Industries

Built for businesses whose systems don't agree with each other.

We focus on mid-sized organisations where operations, billing and finance run on separate systems, and the important questions cut across all of them. Each industry starts with one question worth real money.

Staffing & BPO ● Example live

Contracts, staffing, actual work and invoices don't reconcile into a reliable margin view.

We connect
CRMContractsRecruitmentPayrollTimesheetsBilling
First outcomes
  • Detect underbilling and overtime leakage
  • Explain changes in utilisation
  • Forecast contract margins and staffing needs
Which contracts are we underbilling, and by how much?

In the example: $2.4M a year of earned margin never reached an invoice, across 11 of 38 contracts.

Logistics & 3PL ● Example live

Dispatch, GPS, fuel, maintenance and billing don't consistently connect to customer economics.

We connect
Orders / TMSDispatchGPSFuelMaintenanceBillingCollections
First outcomes
  • True customer and route contribution
  • Investigate empty trips, waiting time and cost overruns
  • Forecast operating cash needs
Which customers are actually unprofitable?

In the example: 4 of the 10 largest customers lose money once empty miles, waiting time and fuel are counted.

Hospital & diagnostic chains ● Example live

Patient volumes, staffing, capacity and collections are viewed separately, which hides how each branch really performs.

We connect
AppointmentsBillingClaimsRostersProcurementEquipment usage
First outcomes
  • Explain branch margins
  • Find billing and collection delays
  • Forecast capacity and cash needs from operating data
Why does one branch earn twice the margin of another with the same volume?

In the example: $3.1M a year is billed but never collected, and 3 of 18 branches lose money.

Manufacturing suppliers ● Example live

Production losses and procurement changes are hard to trace through to order profitability.

We connect
OrdersProductionQualityMaintenanceInventoryFinance
First outcomes
  • Investigate margin erosion from scrap, downtime, batch sizes and input prices
  • Forecast delivery and inventory risks
Which orders lost margin on the shop floor, and why?

In the example: families quoted at 22% deliver 16%, and $4.2M a year goes to scrap, downtime and steel prices.

Wholesale distribution ● Example live

Sales growth can hide excess inventory, customer credit exposure and expensive fulfilment.

We connect
PurchasesStock movementsSalesDeliveriesReceivablesPayables
First outcomes
  • Customer and product contribution
  • Predict stockouts and slow stock
  • Forecast working-capital pressure
Is our growth making money, or just tying up cash?

In the example: sales grew 14% while cash tied up grew 31%, leaving $6.8M of excess working capital.

Lending ● Example live

Acquisition, loan performance, collections and funding costs sit in separate reporting systems.

We connect
AcquisitionOriginationServicingRepaymentsCollectionsFinance
First outcomes
  • Profitability by channel and loan cohort
  • Investigate repayment deterioration
  • Forecast losses and collections with explicit uncertainty
Which acquisition channels bring loans that actually pay back?

In the example: digital-partner loans go overdue at 2.1× the rate of branch loans, and profit is $4.6M below plan.

Don't see your industry?

If your operations, billing and finance live in different systems, the same approach applies. It starts with a 30-day pilot on two or three questions.

How the pilot works