Orders Split Across Channels
Shopify, marketplaces, and wholesale each hold a piece of order and inventory data, and nothing keeps them in sync automatically.
Orders come in from Shopify, marketplaces, and wholesale, inventory drifts out of sync between them, and a single return can touch three different systems before it's resolved. I connect ordering, fulfillment, inventory, customer service, and creative production around one operating context, so growth doesn't outrun the systems running the back end.
I work with direct-to-consumer and ecommerce brands running Shopify or a comparable platform across multiple channels, where order volume, customer service load, and creative output have grown faster than the systems coordinating them.
Shopify, marketplaces, and wholesale each hold a piece of order and inventory data, and nothing keeps them in sync automatically.
Support requests arrive by email, DM, chat, and review replies, with no shared view of who already answered what.
Every new SKU or campaign needs fresh ad creative, and the design queue can't keep pace with how fast paid media needs new assets.
A single return can touch the storefront, the 3PL, and a spreadsheet before it's actually resolved.
Stock counts disagree between the storefront, the warehouse, and marketplace listings, and nobody notices until an order oversells.
Ad spend, storefront analytics, and fulfillment cost live in separate dashboards, so margin by channel is a manual reconciliation, not a number anyone can just look up.
Each module is a piece of the operating layer, deployed where it matters most and expanded from there.
Keep orders, inventory, and fulfillment status synchronized across every channel you sell on.
Turn product photos into finished ad creative at the speed paid media actually needs, without adding headcount.
Route support requests from every channel into one queue, with the order and customer history already attached.
Automate the return from request to resolution, storefront, 3PL, and refund, without a spreadsheet in the middle.
Catch stock drift between the storefront, warehouse, and marketplace listings before it causes an oversell.
Roll ad spend, storefront revenue, and fulfillment cost into one view of margin by channel.
Attribution modeling, subscription and retention workflows, and vendor and wholesale coordination fold in as the engagement expands, the same pattern as every module above, rebuilt around your platform and your channels.
The deeper an engagement goes, the more the system understands the entities specific to ecommerce: how a channel differs from a marketplace, what a return actually requires to close, where a creative asset needs brand review before it ships. That's not generic automation retitled for the industry. It's operating knowledge built for the way this business actually works.
That operating knowledge compounds. It doesn't reset with the next SKU.
What ecommerce and DTC brands usually ask first.
No. The operating layer connects to Shopify, or a comparable platform, your 3PL, your help desk, and your ad accounts. It doesn't replace them. It's the layer that keeps orders, inventory, service, and creative moving between them without manual reconciliation.
Yes. That's one of the most directly proven pieces of this operating layer: turning product photos into finished, on-brand ad creative at the speed paid media needs, without a design queue as the bottleneck.
Most engagements start with a paid assessment that maps your order, fulfillment, service, and creative workflows and quantifies where they're losing time or margin. From there, I scope a forward-deployed build around the modules that matter most, priced to the engagement, not a fixed package.