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Price-only decisions
The lowest purchase price often hides higher running cost.
Total-cost-of-ownership models that optimise cost across the whole product life — not just the purchase price.
The cheapest part can be the most expensive over its life. We model total cost of ownership — acquisition, operation, maintenance, energy, disposal — so decisions optimise the whole lifecycle, not just the upfront price.
Chasing purchase price can inflate lifetime cost.
The lowest purchase price often hides higher running cost.
Energy, maintenance and downtime cost is never modelled.
No single model of cost across the product’s whole life.
Total cost, modelled.
Acquisition, operation, maintenance, energy and disposal cost.
Upfront vs running cost, quantified for the decision.
Where to cut cost across the life, not just at purchase.
Decisions optimised for the long run.
Total cost of ownership for the asset or product.
Upfront vs lifetime cost, clearly.
Where lifetime cost can be reduced.
Bring a real decision or dataset — we’ll show you how KEPLER would approach it, with no obligation.
Book a 60-minute sessionWe start with a short diagnostic — the decision to improve, the data behind it, and a first slice that proves value fast. See how we engage →
From a quick diagnostic to a fully managed service — start small and scale as value is proven. How we engage →
The industries this work serves.
R&D, safety and commercial analytics.
Operational and patient-flow analytics.
Project controls, cost and schedule analytics.
Demand, pricing and customer analytics.
Quality, throughput and maintenance analytics.
From purchase price to total cost.
We define the cost elements across the life.
Each element is costed into a TCO model.
Options are compared on total, not upfront, cost.
Lifecycle cost-out moves are identified.
Choices optimise the whole life.
Decisions that look right upfront and stay right for years.
The category, capabilities and expertise this connects to.
Common problems in this area, how KEPLER solves them, and the likely outcome.
Whole-life cost modelled
View details →Sourcing and design choices chase the lowest purchase price while warranty, service, energy and end-of-life costs, often larger, go unmodelled.
Decisions made on whole-life cost, so a low sticker price stops hiding a high lifetime bill.
Warranty drivers targeted
View details →Field failures cost real money but the data sits in service, disconnected from the design and supplier choices that caused them.
Warranty spend turned into a design signal, so the choices that fail in the field get fixed at source.
Downtime cost priced in
View details →On long-lived assets, maintenance and downtime over decades can exceed the purchase price many times over, yet the buying decision barely weighs them.
Capital decisions that account for the running cost they commit to for the next twenty years.
No use cases match this filter yet — but the problem is almost certainly one we can help with.
Ask us about your problem →Tell us a high-running-cost product or asset and we’ll model its lifecycle.
Talk to our VAVE team
