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

$14B+ TAM mapped across the commercial vans ecosystem

The problem. The client lacked visibility across OEM, dealer, upfitting, EV, cargo and passenger segments as electrification reshaped the market.

1. 1Mapped every segment and use case in the Class 2B–3 ecosystem
2. 2Sized the market and the EV shift (10.8% share)
3. 3Benchmarked the leading players’ strategies

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

Competitive positioning across six competitors in 48 hours

The problem. A PE-owned sustainable packaging company needed competitive intelligence for its growth strategy; the usual route was 4–6 weeks of research.

1. 1Analysed six key competitors across performance dimensions
2. 2Mapped market share, focus areas and positioning
3. 3Turned the gaps into strategic recommendations