The System Behind Scalable Ecommerce
I design and optimize the connective tissue between vendors, platforms, and teams — turning fragmented dropship and ecommerce workflows into systems that scale.
The Architecture
A five-layer operating model for turning ecommerce chaos into clarity.
Ecommerce Stack
Where orders originate — platforms, marketplaces, storefronts.
Includes:
- •Shopify, BigCommerce, Magento
- •Custom stacks + multi-store setups
- •Marketplace + DTC channels
I create the connective logic that makes them behave like a unified system.
Inventory Data Layer
Where availability comes from — vendors, distributors, feeds, APIs.
Includes:
- •Vendor feeds + distributor APIs
- •Automated scrapers
- •Stock normalization
I unify this data so inventory and availability actually reflect reality.
Product Catalog Layer
Where product identity lives — titles, variants, taxonomy, fitment.
Includes:
- •PIM workflows
- •Attribute + variant standardization
- •Data enrichment
I standardize catalog data so it's accurate, scalable, and merchandising-ready.
Fulfillment Routing Layer
Where orders turn into action — logic, automation, SLAs.
Includes:
- •Vendor selection logic
- •ETA + SLA accuracy
- •Routing automation
I architect the decision engine that reduces cancellations and speeds up delivery.
Post-Purchase & Support Layer
Where customer retention is won or lost.
Includes:
- •Tracking + notifications
- •Exceptions + issue loops
- •Returns + vendor coordination
I close the loop between ops, vendors, and support so nothing falls through the cracks.
Where I Typically Intervene
The operational patterns I solve repeatedly.
Vendor Feed Chaos → Unified Inventory Logic
Vendors send inconsistent feeds, missing fields, wrong formats, or no feeds at all. I normalize, automate, and synchronize them into a single source of truth.
Catalog Bottlenecks → Scalable Product Data Ops
Slow merchandising, manual SKU creation, and messy taxonomy. I build clean catalog systems that scale from tens of thousands to hundreds of thousands of products.
Unreliable ETAs → Accurate Delivery Promises
Customers get lied to by bad data. I fix the underlying systems so delivery estimates match reality — and cancellations drop.
Fragmented Systems → A Coherent Ops Engine
Engineering, ops, merch, support, and vendors all work in silos. I connect their systems so the business acts like one machine.
Late Orders → Smart Fulfillment Routing
Ops teams manually pick vendors, chase orders, and update statuses. I build automated routing logic that chooses the best vendor, every time.
Support Firefighting → Closed Feedback Loops
Support chases missing tracking, vendor delays, and exceptions. I create a tight loop between support, ops, and vendors so issues surface early — not after 5 customer tickets.
Manual Ops → Automated Workflows
Tasks sit in Slack, email, or spreadsheets. I automate repetitive workflows so ops scales without headcount.
Platform Migrations → Stable, Future-Proof Tech
Businesses jump from Shopify → BC → Magento (or vice versa). I architect transitions without breaking ops, inventory, or catalog integrity.
Vendor Performance Mystery → Clear Vendor Scorecards
Most companies don't actually know which vendors hurt or help them. I instrument vendor metrics: fill rate, cancel %, ship speed, SLA compliance.
Sean Dawes
Ecommerce Operator & Systems Architect
About Me
Operator-first.
Not just a consultant.
I've built ecommerce operations from every angle — founder, seller, buyer, and enterprise ops lead.
I connect merchandising, engineering, operations, and vendor systems into one coherent operating engine — the kind that scales without chaos.
Your ecommerce systems are closer to scalable than you think.
Let's run a quick diagnostic and find what's slowing you down.