Pricing a Machine That Predicts Breakdowns
The Prompt
Your client built an IoT retrofit kit for textile-mill machinery: vibration and temperature sensors plus software that predicts loom failures 48 hours ahead. Pilot results: unplanned downtime cut by 60%. There is no direct competitor in India. The client asks: how do we price this — per sensor, per machine, per mill? And at what number?
Structure & Hypothesis
Analysis & Data
Why 30% capture and not 50%? And why per-loom-per-month instead of selling the hardware outright?
On the split: this is a new category sold to skeptical, cash-tight mills — the pilot proves value we believe; the buyer hasn't lived it yet. A 70/30 split in the customer's favour makes the ROI pitch trivial: "pay ₹6.8 lakh, save ₹23 lakh." As the category matures and trust builds, capture can rise toward 40–50% on renewals or premium tiers. On the metric: outright hardware sale caps revenue at one transaction and makes us a capex line competing with a new loom; per-loom-month is opex, scales with mill size, keeps us paid for the software's ongoing value, and builds a recurring base a future acquirer will pay for.
Two classic B2B pricing arguments: share-of-surplus calibrated to buyer risk, and metric chosen for adoption + recurring revenue.
A large mill group with 1,200 looms demands 40% off. Respond.
Never discount the rate card 40% — it reprices the whole market through word of mouth. Instead: volume tiers built into the metric (e.g., ₹700 first 200 looms, ₹560 beyond), an enterprise SLA tier that adds value instead of cutting price, and multi-year lock-in as the concession currency. Headline rate survives; their effective rate lands near ₹590.
Recommendation
Recommend
- Price at ₹699 per loom per month, subscription including hardware, installation, and the prediction software — no upfront capex for the mill.
- Sell with the customer's own P&L: "keep ₹16 lakh of the ₹23 lakh we save you" — the 70/30 split is the sales pitch, not a concession.
- Handle large groups with volume tiers and SLA-tier upsells; never cut the headline rate.
- Re-anchor capture toward 40% at renewal once realized savings are in the customer's own data.
Key Takeaway
What this case teaches
When there's no reference price, build the customer's value pool and split it — and remember the metric (per what?) is as strategic as the number. New-category B2B pricing buys adoption with a generous split, then earns capture back with proof.