Kestrel Industrial: Servitisation and the Economics of Uptime
Kestrel Industrial builds hydraulic presses for automotive parts suppliers. Revenue is EUR 640m, 82% from equipment sales; average gross margin on equipment is 11%, and order intake swings plus or minus 35% with the capex cycle. Customers increasingly ask for uptime guarantees and per-part pricing instead of buying machines. The CEO has proposed 'Kestrel Uptime': the machine plus sensors, predictive maintenance and remote diagnostics, sold as a subscription priced per operating hour, with a target of 25% of revenue from subscriptions within four years. The CFO's objections: working capital and balance-sheet treatment if Kestrel retains machine ownership; her modelling suggests 30% of existing customers would stay on the old model, and the subscription would cannibalise equipment margin; and sales incentives pay 100% on equipment orders. Two pilots exist: one with a tier-1 customer where Kestrel keeps ownership and is paid per hour of uptime; the other a lease plus service SLA with a mid-tier customer. Neither has been evaluated, and both are run by the same regional sales team that is paid on orders.
1. Analyse the proposed shift using value proposition, value creation and value capture, and identify the three risks most likely to make it non-viable. Rank them and justify the ranking.
Read the worked answer
Value proposition: from machine capability sold as capex (specifications, price, delivery) to a guaranteed outcome - availability per operating hour - where the customer buys output rather than an asset.
Value creation: this requires a different operating system - sensor and telemetry estate, a data platform, remote diagnostics, a field service network, parts logistics with availability commitments, contract and risk management, and likely asset financing. Kestrel's current cost structure is built for build-and-ship, not for delivering availability.
Value capture: recurring revenue and higher lifetime value, but margin now depends on uptime performance, utilisation and residual value. Owning the asset shifts demand-volatility and residual-value risk onto Kestrel.
Ranked risks. First, contract economics and value capture: if per-hour pricing does not cover cost of ownership, service cost and risk over the contract term, this is margin dilution dressed as strategy - and it is the risk that cannot be fixed later without repricing. Second, capability gap: service delivery and parts availability are the binding constraint on actually achieving contracted uptime; promising uptime before the service network exists creates liability. Third, business model conflict: incentives, cannibalisation and finance treatment are internal and therefore fixable, but they will silently kill the programme if left alone. Capability ranks above conflict because internal misalignment is recoverable within quarters, whereas a mispriced multi-year contract is not.
2. Recommend how Kestrel should manage the transition portfolio - what to pilot, scale or stop - and how incentives and financial metrics must change. Address the two existing pilots explicitly.
Read the worked answer
Stop treating the pilots as sales deals. Neither can be evaluated while run by a team paid on orders; both should move to a ring-fenced unit with its own P&L, a dedicated service lead and a data lead, and a fixed two-quarter evaluation window.
The lease-plus-SLA pilot is the better scaling candidate: it builds service capability and telemetry without Kestrel absorbing residual-value risk, and it generates the cost-to-serve data the ownership model needs. The ownership/per-hour pilot should continue only as an evidence-generating bet on a small number of customers with high downtime cost and predictable utilisation - the segment where per-hour pricing genuinely beats capex. Do not scale ownership broadly until the first pilot's contract margin is known.
A portfolio view is required: defend and optimise the equipment business (it funds everything), build the service and digital capability, and run a small option book of alternative commercial constructs. Explicitly stop any subscription offer to customers whose utilisation is unpredictable.
Incentives: pay on contract gross margin and lifetime value, not order intake; introduce a services and recurring-revenue quota; remove the penalty reps currently feel for converting an equipment order into a subscription; and give the ring-fenced unit its own targets. Metrics: recurring revenue share, contract margin including cost of capital, achieved uptime, cost per service event, installed-base attach rate, renewal intent, and working capital consumed per contract.
3. The CFO asks how to tell whether this is a genuine strategic shift or margin-diluting fashion. What evidence would you require before committing capital?
Read the worked answer
Require evidence on five points, and treat any failure as a stop signal.
One: willingness to pay. Documented price points per operating hour from real negotiations, tested against the customer's current total cost of downtime - not survey intent.
Two: delivered uptime. Kestrel must show measured availability above the threshold it would contractually promise, on its own installed base, over at least two quarters. Contracted uptime that has not been demonstrated is an unhedged liability.
Three: cost-to-serve curve. Actual cost per service event, parts availability and technician utilisation, with evidence that costs fall as the installed base grows rather than rising with it.
Four: contract NPV including cost of capital, residual-value assumptions and churn. The ownership model must clear the hurdle rate on realistic utilisation, and sensitivity analysis must show the contract surviving a downturn, since smoothing the plus-or-minus 35% capex cycle is part of the claimed benefit.
Five: cannibalisation honesty. A view of which customers convert, at what margin, and what happens to equipment volume and factory loading if 25% of revenue becomes subscription. If the factory's fixed-cost recovery depends on equipment volume, that must be modelled explicitly.
Then commit capital in stages: a six-month instrumented pilot fund, a decision gate on scaling to one defined segment, and only then a broader roll-out. Committing the full programme before the delivered-uptime evidence exists is the single most likely route to failure.