Detect fake damaged-on-arrival photos with image forensics and returns automation

Detect fake damaged-on-arrival photos with image forensics and returns automation targets a $4.8B = 3M online merchants x $1.6K ACV. Assumes broad global merchant base paying for site-level fraud and returns protection at a mid-market SaaS price. total addressable market with medium saturation and a year-over-year growth rate of 12% increase in merchant spend on fraud and returns tooling, driven by rising return volumes and fraud sophistication.

Key trends driving demand: Generative-image tools proliferation -- increases frequency and realism of edited return photos, raising merchant verification needs; Higher return rates in e-commerce categories like apparel and electronics -- increases volume of claims needing review; Platformization of returns data -- marketplaces and returns portals capture metadata that can be correlated with images; Image attestation entrants -- vendors offering cryptographic or forensic image verification create buyer awareness and early adoption.