A full smart supply chain market analysis in 3 days

The problem. A PE client needed CDD on the US smart supply chain market; the traditional route meant 3–4 weeks and 4–6 consultants.

1. 1Sized the market bottom-up: $24B, 11% CAGR to 2030
2. 2Benchmarked 15+ competitors
3. 3Prioritised 5 segments with buy, build or partner calls

A prioritised acquisition shortlist in 12 hours

The problem. Mapping a fragmented target landscape meant weeks of manual data collection and little visibility into which segments mattered.

1. 1Built a tailored acquisition framework and ideal target profiles
2. 2Screened targets in the $20–50M revenue range before consolidation
3. 3Added valuation benchmarks for technology-rich targets

A $300M+ growth opportunity, sized and sequenced

The problem. Entering new segments traditionally took 2 months and 5–6 domain consultants, with little visibility into a fragmented target landscape.

1. 1Ran multi-factor TAM analysis across 5 adjacent segments
2. 2Recommended targets in the $20–50M revenue range
3. 3Benchmarked technology-rich targets at 8–12× EBITDA

$1.1B+ white space for a mid-market SaaS platform

The problem. Buyers were moving to integrated suites, and the platform was growing slower than its market.

1. 1Benchmarked the competitive set and integration gaps
2. 2Sized white space across adjacent modules
3. 3Prioritised product investments into a roadmap

One company scored on three lenses of AI disruption, every point cited

The problem. Every deal needs a view on AI risk, but it rested on opinion and a few slides.

1. 1Ran the outside-in assessment on the CDD report from our portal, with no management inputs
2. 2Scored external disruption on seven parameters, including how easily AI could replicate the offering
3. 3Scored internal readiness only on AI confirmed in use, and graded ten technology tracks