Areas of expertise
Blog posts · 20
AI Agents for Ecommerce: What They Actually Do With Your Product Data
AI agents are everywhere in commerce marketing. Here is what they concretely do with product data, inventory and pricing, and why each one needs rules and an owner, not just a model.
Just Ask Qooly AI: Running Product Data Through a Conversation
Less dashboard navigation, more action. With Qooly AI you can manage product data and workflows by asking for what you need, and every request still runs through your rules and approvals.
Governed AI: Why Product Data Needs Rules Before AI Publishes Anything
Generating product content is easy. Trusting it on every channel is not. Governed AI means your rules, approvals and audit trail come first, so AI can move fast without putting your brand, prices or compliance at risk.
The PIM Alternative: Why Commerce Teams Are Moving to a Product Intelligence Platform
PIM tools were built to store product data. Commerce now needs software that does the work: validating, enriching, publishing and keeping every channel right. That is what a product intelligence platform with AI agents is for.
The Product Intelligence Layer: The Missing Piece Between Your ERP and Every Channel
Your ERP runs the business. Your channels sell. Between them sits the work nobody owns: shaping, checking and syncing product data for every destination. That gap is where a product intelligence layer belongs.
What Is a Product Intelligence Platform?
A product intelligence platform governs your product data, orchestrates it across every system and channel, and uses AI agents to do the work your team does by hand today. Here is what that means in practice.
What Is PIM? Product Information Management, and What Comes After It
PIM gave product data a home. A central record is still the right start. What changed is how much work happens after the data is stored, and that is where product intelligence comes in.
Answer Engines Don't Rank You. They Decide Whether to Mention You
Shoppers increasingly ask an AI instead of searching. There is no page two in that answer, no impression you can buy back. Whether you get named comes down to whether your product data can be read, checked and trusted.
The Digital Product Passport Is a Data Deadline, Not a Sustainability Project
Batteries are first, in February 2027, and textiles follow. The hard part was never the QR code. It's that the regulation asks you to publish, per item, facts most catalogues have never been asked to hold.
Stop Running Data Cleanup Sprints
The quarterly catalog cleanup isn't housekeeping. It's a symptom of an architecture that lets data rot by design. Continuous AI enrichment makes the whole ritual obsolete.
One Catalog, Twelve Markets: Localizing Product Data at Scale
International expansion doesn't fail on demand. It fails on the grind of translating, converting, and re-complying thousands of SKUs per market. Manual localization caps how far you can go.
Attribute Depth: The Boring Lever That Doubles Search Visibility
Nobody gets promoted for filling in attribute fields. But structured attributes decide whether your products appear in filters, search, and marketplace rankings at all.
Retailer Chargebacks Are a Data Problem, Not a Logistics One
Brands blame the warehouse for compliance penalties. But most chargebacks trace back to bad data (wrong attributes, mismatched POs, invalid labels) long before anything ships.
Your Product Feed Is the Real Storefront
Most shoppers meet your product in a feed (Google Shopping, marketplace search, a social ad) long before your site loads. Feed quality is revenue, and most feeds are shipped half-empty.
The System of Record Is Dead. Agents Took the Job.
A system of record made sense when product data sat still. It doesn't anymore. The replacement isn't a faster PIM. It's software that does the work your team is currently doing by hand, continuously.
The AI-Native Commerce Stack: What It Is and Why It Wins
Forget the old point solutions. The brands winning in 2026 are running on a fundamentally different architecture, and it starts with how they handle product data.
How to Sync 10,000 Products Across Every Channel in Under 3 Hours
What used to take weeks of manual work and three different systems now happens in an afternoon. Here's the playbook, hour by hour.
Chat to Launch: The New Way Teams Are Getting Products Live
The fastest-moving commerce teams have stopped writing tickets and started having conversations. Here's what the launch process looks like when AI does the mechanics.
The Fragmented Stack: Why Your Tools Are Working Against You
Most commerce teams spend more time managing their tech stack than managing their business. Here's the actual invoice, and what to do about it.
Revenue Per SKU: The Metric Every Commerce Team Should Be Tracking
Most brands track total revenue and total catalog size, but not how hard each product is working. Revenue per SKU exposes the gap, and it's usually a data problem.
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