Five industries. Three costing methods. One live model.
Every demo below is a full costing model running in your browser: Traditional allocation, Activity-Based Costing and Time-Driven ABC computed side by side from the same embedded dataset. Move a filter and all three engines recalculate. No slides, no screenshots.
What you are looking at, in every demo
The same analytical spine that a CostCtrl engagement builds on your data, loaded here with a fictional company so you can push it around freely.
Traditional vs ABC vs TDABC
Three engines allocate the same cost pool from the same ledger and disagree about who caused it. The gaps, sign flips and rank moves are the point: they are what your current numbers hide.
The whale curve
Customers, products or business units sorted by true profitability and accumulated. A few carry everyone else; the tail quietly gives profit back. Kaplan's Kanthal case made it famous.
Capacity cost, priced
TDABC prices only the minutes actually consumed and reports unused capacity as its own line, per resource group, per month, instead of smearing it into every rate.
Ask the Model
A deterministic assistant that computes answers live from the model on the page: cost per unit, what-ifs, worst accounts. It is not a chatbot guessing; it is the model talking.
Pick your industry
Each demo is a self-contained fictional company with industry-true time equations, seasonality and behaviour. Same engine, different physics.
Manufacturing
- Setups, batch sizes and rush orders priced by time equations
- Product family and customer whale curves with sign flips
- Machine and labour capacity vs the seasonal peak
Distribution
- Cost-to-serve per order, drop and delivery profile
- Picking, small-order and returns behaviour made visible
- Customer terms vs true handling cost
Logistics
- Lane and shipment profitability under three engines
- Handling, waiting and empty-leg minutes priced honestly
- Terminal capacity and seasonal utilisation
Healthcare
- Cost per pathway and per visit from clinical time equations
- Payer and service-line profitability, no averages
- Room, staff and equipment capacity by session
Shared services
- Cost per invoice, ticket and onboarding from workflow logs
- Flat FTE chargeback vs consumption: who subsidises whom
- Exception and approval cost, plus idle capacity by month
Your industry not here?
The engine is industry-agnostic: resource groups, time equations, whale curve, capacity. Professional services, banking operations, ports and utilities all map onto the same spine.
Ask us about yours →Map this to your data
The demos run on invented companies. Your version runs on your exports: general ledger by cost centre, payroll or headcount, and the transactional files you already have (invoice registers, ticket dumps, shipment logs, order lines, SAF-T). CostCtrl reads CSV and SAF-T uploads directly; there is no ERP surgery and no 40-activity interview marathon.
A working model with your own whale curve, capacity cost and consumption statements typically takes 3 to 6 weeks, not the 6 to 18 months of a classic ABC project.
Seen enough fiction? Run it on facts.
Book 30 minutes and we will walk one demo together, then scope what a pilot on your data looks like. Or start with the 12-15 minute profitability health check.