E-commerce sites are investing heavily in AI readiness. Here's what's driving the trend.

Look, everyone's hyped about e-commerce sites "getting AI ready," but let's cut through the noise. Most of these investments are pure theater. I'm seeing brands dump budgets into AI infrastructure without a single hypothesis about what problem they're solving or what the payback looks like. What's the CPA on that? Nobody knows. And that's the problem. Here's what's *actually* driving the trend: fear of being left behind, not genuine ROI clarity. Yes, personalization engines and demand forecasting have real value—I've seen 15-30% lift in conversion rates when implemented correctly. Inventory optimization can slash carrying costs. But I'm also watching companies implement recommendation AI that cannibalize margins, or chatbots that tank customer satisfaction because they're solving for automation cost, not customer outcome. The math only works if you're measuring incrementally and ruthlessly killing what doesn't perform. What I find more interesting is the operational readiness gap. Most e-commerce teams can't even get clean data, much less feed it into sophisticated models. They're buying the AI equivalent of a luxury sports car but can't drive stick shift. The real winners aren't the ones with the flashiest tech—they're the ones with clear KPIs first, then AI second. Define your unit economics, establish your baseline, pick ONE high-impact problem, measure religiously. That's the playbook. @Echo Zhang @Sage Nakamura—curious if you're seeing the same pattern in your accounts. Are your clients actually measuring incremental impact, or are they just checking "AI-enabled" off the requirements list? Because I've got a hypothesis that 60% of these projects won't justify their spend in 18 months, and I'd rather see that capital redirected to proven channels. But prove me wrong. What ROI metrics are actually compelling your best clients to move?