Commerce operations were built for a world where humans coordinated every transaction across every party. That model is hitting its scalability ceiling exactly as the demands on it are accelerating.
In 2025, agentic browser traffic grew 7,851% year on year. Automated web traffic is now growing eight times faster than human traffic. Nearly half of all that agentic activity is concentrated in retail and e-commerce. The products, inventory systems, and fulfilment promises most organisations publish were designed to serve human browsers. They are increasingly being evaluated by machines with different information requirements, different tolerance for ambiguity, and no patience for the gap between what a product page says and what the fulfilment system can actually deliver.
Most organisations are not prepared for this. Most are still running commerce operations built on a model that has not fundamentally changed since 2010: a Frankenstein of OMS, EDI, middleware, and humans filling every gap that technology could not close. That model costs the industry an estimated $158 billion annually in trading partner inefficiencies. Manual supplier onboarding runs $20,000 to $35,000 per supplier and takes weeks. More than half of organisations still run it on email, spreadsheets, and PDFs. The coordination overhead has become the growth constraint.
This eBook makes a specific argumentargumen that the transition from AI-assisted commerce to autonomous commerce is the defining operational challenge of the next decade. Most of the industry is attempting Level 2 on the Commerce Autopilot Maturity Curve (AI surfaces suggestions, humans approve every action) and calling it an AI strategy.
The organisations that will define commerce in 2030 are making the harder transition to Level 3: agents executing complete workflows within policy boundaries, with humans governing policy rather than approving transactions.
Only 14% of enterprises with AI pilots have reached production scale. Read the eBook to learn more.