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What dropship gives you for free. Now from every reseller.

Stock-holding distribution is a black box: half your range disappears into spreadsheets the moment it leaves the warehouse. PowersportOS gives you the visibility dropship provides automatically, without asking resellers to give up the margin of holding stock.

End the data asymmetry between dropship and stock-holding.

Dropship exposes every transaction to you automatically. Stock-holding exposes nothing, so half your distribution is planned on six-month-lagged distributor feedback. PowersportOS lets stock-holding resellers share the same operational signal dropship leaks by default, while they keep the margin and autonomy that holding stock provides.

Sell-through velocity

Per SKU, per region. The inventory-turn KPI you plan production on.

Inventory aging

Days-on-shelf across the network, before return requests start.

Search-to-sale ratio

Real demand separated from idle curiosity, per part.

Regional demand

Where it sells, measured, not filtered through channel anecdote.

The four numbers an S&OP team uses every week, finally available across the independent-reseller half of your distribution as the network grows. Read the full thesis

Distribution and content quality, multiplied.

Your retailers lose days onboarding your range by hand, so they carry less of it. PowersportOS makes that friction disappear and gives you live visibility into where your products sell along the way.

One push, every reseller

Push your catalog and fitment data once, via CSV or API. Resellers who subscribe to your brand go live the same day: no per-account onboarding, no chasing photo packages, no three-month projects.

A live view of your own network

Where your parts sell, which resellers, which countries, with what stock (opt-in, aggregated). The spreadsheet your sales team keeps by hand, made live.

Turn your product pages into a funnel

A "find this part at a reseller near you" widget on your own Shopify pages. Nearest dealers with live stock, ranked by distance. The page people leave for Amazon becomes a sales driver for the network.

Your catalog, your terms

Brand subscriptions, reseller approval, self-serve brand management with per-brand roles, every change audit-logged. You decide who gets access and on what terms. No marketplace surprises.


Maintain product data once. Every retailer reads the same record.

The biggest pain in aftermarket data is the same payload retyped at every step. You maintain it in your PIM, the distributor retypes it, the retailer retypes it into Shopify. By the time it reaches the customer the description has drifted, two photos are missing, and the OEM reference is wrong.

You maintain it. The network reads it.

Update a description and every storefront updates on the next page load. Change the primary image and every product page swaps it in. Mark a SKU discontinued and every retailer's catalog reflects it, with a "replaced by" pointer so customers searching the old number see the upgrade path instead of a dead-end 404.

One Part record carries submodel-precise fitment with position and notes, multi-OEM cross-references with cross-brand attribution, L×W×H and weight, EAN, country of origin, an ~80-node category tree, sanitised-HTML descriptions, multi-image galleries, and Draft / Active / Deprecated / Discontinued lifecycle.

Central catalog (admin)

One catalog upload, network-wide distribution.

Your brand

Maintain catalog data once

PowersportOS

Central catalog + brand metadata

Retailers

Subscribe, parts auto-activate

End customer

Pristine product pages

Data flows downstream once. Updates propagate live.

"Find this part at a reseller" on your own site

The product page is the most underused real estate on a manufacturer site: people land from search, want to buy, and leave because you don't sell direct. PowersportOS turns it into a funnel, live stock from your opt-in resellers ranked by distance, click to call or visit.

Reseller-stock widget on manufacturer site

Stock visibility, on your terms

When resellers opt in, you see a live map of where your products are stocked, filterable by country, region, and SKU. Each reseller sets the precision (exact counts, or just in-stock / low / out) so you get visibility without exposing their pricing-sensitive data.

Reseller stock-network admin view

One publish, every dealer's storefront.

Catalog data is the foundation. The next layer is everything that doesn't live in the catalog, range announcements, sales-stops, MSRP changes, safety recalls, which today scatter across email and PDFs that half your dealers never open. Channel Communications is one channel that reaches every subscribed dealer with the right urgency per message.

Auto-publish to dormant dealer blogs

Compose once; every subscribed dealer approves it in their inbox or lands it straight on their Shopify blog. The canonical URL stays yours via a metafield. Solves the dead-since-2022 dealer blog.

Operational alerts that bypass filters

A supplier defect, a price-list change, a temporary sales-stop: surfaces as a banner plus inbox row on every dealer's portal, past their category filters so it can't be missed.

Safety recalls, force-delivered

Persistent red banner until an owner acknowledges, 48-hour SLA, parallel email to their technical contact, full forensic trail of who acknowledged and when. Proof every dealer saw it. Architecture


Already running regional and B2B storefronts of your own?

Many brands run a main site plus regional and B2B variants. Multi-Store wires that into the data model: one parent tenant holds the catalog, each child storefront pulls a subset with its own pricing and stock, and descriptions, fitments, and images read live from the parent so updates flow everywhere automatically.

Available on the Manufacturer track. Read the full Multi-Store guide.

Want to be one of the first brands in the network?

We're working with a small group of manufacturers and importers to seed the catalog with high-quality data ahead of opening more broadly. If you make or import parts for ATV, UTV, motorcycle, or snowmobile and data quality has been a recurring pain, let's talk.