Building modern digital platforms for scale.
I lead end-to-end initiatives across DXP, PIM, and e-commerce—shipping measurable outcomes for manufacturers and brands.
AI Marketing Operations:
From Roadmap to Revenue
Most of the time, AI initiatives don't flop because of the software. They flop because teams struggle to use the tools once real work kicks in. Without a clear owner or direction, AI ends up as another tool that gets tested, talked about, and quietly ignored.
You can't just hope people pick up AI by osmosis. Teams stall out in testing because the day-to-day work never really changes. Everyone uses the tools a little differently, quality starts to drift, and before long, the excitement wears off. Without clear training or documentation, people are left to figure things out on their own, and whatever progress they make is hard to repeat or scale.
How PTG Can Help:
Identify where AI creates real leverage, not just hype
Redesign workflows around AI assisted execution
Train your team on when and how to use the tools
Document standard work so results are repeatable
Product Data Enrichment:
Product Data That Supports Revenue
Most product data nightmares aren't caused by bad software. They happen because the data structure wasn't built for the actual work you're doing. When info is scattered across a dozen different places and updated randomly, nobody truly trusts that what they're looking at is right.
When product data is messy, teams work around it. Marketing fills gaps. Sales keeps side notes. E-commerce adjusts on the fly. Over time, those workarounds become the process, and accuracy starts to slip. Without clear standards or ownership, product data becomes something everyone relies on, but no one really trusts.
How PTG Can Help:
Define a usable product data model
Clean, enrich, and standardize your product information
Align internal teams around a single source of truth
Create documentation so data stays clean after launch
Commercialization & Syndication:
Product Data That Grows Revenue
You usually don't notice the cracks in your product data until you try to send it everywhere at once. Between different retailer formats and platform rules, small data gaps turn into big headaches fast. To cope, teams end up doing everything by hand. They email spreadsheets back and forth, tweak files for every single partner, and lose track of what's been updated. Pretty soon, nobody knows what's actually live on the site.
When there is no clear plan, syndication becomes a maintenance problem. Channels are slow to launch, content drifts, and teams spend their time correcting errors instead of expanding reach. It does not scale unless the data is created once and trusted everywhere.
How PTG Can Help:
Define a usable product data model
Clean, enrich, and standardize your product information
Align internal teams around a single source of truth
Create documentation so data stays clean after launch
E-Commerce Development:
Matching How Your Customers Already Buy
Most B2B ecommerce efforts struggle because the experience doesn't align with how customers actually buy. Pricing is complex, products are configurable, and many orders still depend on sales or customer service. Teams end up patching things together. Customers bounce between the site and email. Sales and customer service teams create workarounds and fill gaps that the system should have been designed to handle. Over time, e-commerce becomes another channel that adds effort instead of reducing it.
Real B2B ecommerce works when it supports both self-service and sales-assisted buying. That means building flows around real purchasing behavior, not forcing everything into a retail model. When the experience fits the business, teams spend less time managing exceptions and more time driving revenue.
How PTG Can Help:
Improve product discovery and configuration
Align ecommerce with sales assisted buying
Reduce friction in quoting and ordering
Create internal processes to support ongoing optimization
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