Industrial AI SaaS · pre-sales platform (prior role)
A pre-sales assessment platform that cut the enterprise sale to months
Designed while leading the technical side of the commercial team at an industrial AI SaaS: a structured process assessment, an ROI simulation, and a personalized demo built from the prospect's own inputs. Used with 50+ enterprise clients, it shortened the sales cycle from 8+ months to two to four months and raised sales-process CSAT by 60%.
The platform automates the technical, high-friction stages of a manufacturing sale. A structured assessment scores the prospect's operation, an ROI simulator turns that score into a projected payback, and the system assembles a personalized demo from the prospect's own inputs — replacing artisanal pre-sales work with a repeatable, data-backed motion.
Used with 50+ enterprise clients across manufacturing and supply chain, it compressed a sales cycle that ran 8+ months into two to four months, because buyers were reasoning about their own numbers instead of a generic pitch — and sales-process CSAT rose by 60%.
On a representative deployment the modeled outcome was a 6.4× ROI paying back in seven months and a twelve-point gain in OEE — precisely the kind of result the assessment is designed to surface and the demo is designed to make credible.
From a floor assessment to a signed statement of work. Figures are from an example deployment's modeled outcome.
A floor assessment of the client's plant produces what the buyer needs to see — projected ROI, OEE gain, and the bottleneck found during mapping. A weighted decision framework scores the case, the decision is go, and the statement of work is signed: a cycle of two to four months instead of eight or more.
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