Content text for a top bar
Content text for a top bar
Share with your community!
The rules of retail have changed and most brands are still playing by the old ones.
At Shoptalk Spring 2026, CommerceIQ Co-Founder and Head of Product Himanshu Jain sat down with host Christine Russo on the What Just Happened podcast to unpack one of the most significant shifts happening in ecommerce today: the move from manual, human-driven processes to fully autonomous AI agents that don't just surface insights: they act on them.
Want to hear the full conversation? Listen to the episode and learn how leading brands are bridging the gap between human judgment and algorithmic retail.
Here's what you need to know.
For years, ecommerce teams have relied on dashboards, spreadsheets, and weekly reports to make decisions. But while brands were busy building pivot tables, retailers were quietly deploying machines to run the show.
Today, algorithms determine:
The uncomfortable truth? Brands are still operating at human speed in a machine-speed world. Jain describes this as the core problem CommerceIQ was built to solve: bridging the gap between how fast retailers operate algorithmically and how fast brands can realistically respond manually.
The solution is what Jain calls "Agentic" commerce: AI agents that go beyond reporting and actually execute the work on behalf of brands, 24 hours a day, 7 days a week.
Think of an AI agent less like a chatbot and more like a tireless, highly capable digital employee that never sleeps.
Where traditional tools show you a problem, an AI agent:
CommerceIQ's platform is built around this model, with agents purpose-built for content optimization, retail media management, digital shelf monitoring, and sales performance — all running simultaneously across 1,450+ retailers.
The result? Jain cites a remarkable 40x productivity boost for global brands using agentic commerce — meaning teams can manage exponentially more SKUs, retailers, and decisions without adding headcount.
One of the most compelling parts of the conversation was Jain's take on how brands should think about trusting AI agents.
His advice: treat an AI agent like a new junior analyst.
You wouldn't hand a new hire the keys to your entire business on day one. You'd start them on smaller tasks, review their work, give feedback, and gradually expand their responsibilities as trust is built. The same principle applies to AI.
This is why "human in the loop" oversight remains essential, especially in the early stages of adoption. Agents should flag actions for human review, learn from feedback, and expand autonomy over time as they demonstrate accuracy and alignment with business goals.
It's not about replacing human judgment. It's about scaling it.
One of the most eye-opening topics in the episode was the concept of revenue recovery and how much money brands are unknowingly leaving on the table.
Retailers routinely issue penalties and chargebacks to brands for things like:
The problem? There are thousands of these invoices, and many of the penalties are inaccurate or disputable. No human team can realistically review them all. Most brands simply absorb the losses.
CommerceIQ's agents scan every single invoice, identify invalid penalties, and automatically dispute them, recovering millions in revenue that brands didn't even know they were losing.
As Jain puts it, it's essentially "free money": revenue that already belongs to the brand, just waiting to be reclaimed.
If you're using traditional Return on Ad Spend (ROAS) to measure your retail media performance, Jain has a warning: you might be fooling yourself.
Traditional ROAS is easily gamed. It often captures sales that would have happened anyway: organic purchases from loyal customers who were going to buy regardless of whether an ad was shown. This inflates your reported returns and masks the true efficiency of your media spend.
Jain's preferred metric? Incremental ROAS (iROAS), which measures only the sales that were directly caused by advertising. This gives brands a true picture of how much value each marketing dollar is actually generating.
CommerceIQ's retail media agents are built around incrementality, using 50+ shelf-aware signals to optimize bids and pacing in a way that drives real revenue growth, not just impressive-looking numbers on a dashboard.
The conversation between Christine Russo and Himanshu Jain paints a clear picture of where ecommerce is headed: brands that embrace agentic AI will pull ahead, and those that don't will fall further behind fast.
The shift isn't coming. It's already here. Retailers are running on algorithms. The question is whether your brand has the tools to keep up.
CommerceIQ's AI-powered platform is built for exactly this moment, combining the speed and scale of autonomous agents with the strategic oversight of human experts to help brands win on the digital shelf, maximize media ROI, and recover revenue at every turn.
Ready to see CommerceIQ's AI agents in action? Schedule a demo today.
RESOURCES
Discover the latest trends in Consumer Packaged Goods
1450+
retailers
100+
mobile apps
59
countries
250+
engineers and
data scientists
CommerceIQ is the only sales-focused, unified platform built specifically for ecommerce—combining sales, media and shelf data with role-specific AI teammates that deliver actionable, commerce-ready insights.
