What's coming. What just shipped.

Why this belongs on the operating layer, not in a specialist tool

Ecoveritas, Reclay, Lizenzero and friends cost €200-2000/mo per tenant and have worse grunddata than PowersportOS. They get a hand-curated spreadsheet from the customer; we have the live shipment feed plus SKU-level packaging metadata inherited from the manufacturers who publish onto the catalog network. Storefront platforms (Shopify, Woo, BigCommerce) will never build this natively because their model is horizontal and vertical-regulatory workflows are not their business. The right position to build compliance from is the shared operating layer the shipments already flow through.

Three streams from day one

• Packaging (PPWR): weight per material (paper, rigid plastic, flexible plastic, metal, glass, wood, textile, bioplastic, composite broken down), per level (primary consumer wrapper, secondary multi-pack, tertiary shipping carton), B2C vs B2B split, reusable vs single-use, SUP-item unit counts where relevant.
• WEEE: weight per brand per EU category (six categories since 2018), B2C vs B2B split, per-country producer identifier (Stiftung EAR-number for DE, etc). For powersports: LED bars, gauges, ECUs, small audio typically in category 5.
• Batteries: weight per category (portable, LMT, SLI, industrial, EV) per chemistry (lead-acid, lithium-ion, NiMH, NiCd, alkaline). Powersports focus is SLI (motorcycle / ATV start batteries) and portable.

Network inheritance is the moat

Packaging metadata lives on the central Part when a manufacturer or data-provider publishes it. Every downstream retailer subscribing to that brand inherits the composition into their EPR reports automatically. A retailer who joins PowersportOS six months into a supplier relationship gets six months of historic packaging data ready-to-aggregate the day they enable the module. Specialist tools cannot offer this because they do not sit on the catalog network. It's the same platform-effect logic that turns catalog quality into a shared asset instead of every retailer re-typing the same weights.

The market-breakeven view (only we can build this)

Specialist tools tell you what you owe. PowersportOS tells you whether it's worth registering in a country at all. We compare shipment velocity to that country, times estimated fee under the current category schedule, against the fixed annual registration cost with the PRO, weighted by your margin. Emits recommendations like "you have placed 4,200 kg on the DE market this year, estimated fee €480, registering now saves 1.2% of gross margin vs current exposure" or "you are below de minimis in NL, no action needed until X kg/year". Turns compliance from cost-center into strategic decision-support. Nobody else has both the shipment data and the incentive to build this layer.

What we deliberately do not do

We do not submit reports directly to LUCID, Citeo, FTI, Stiftung EAR, or any other authority even where an API exists. Formats drift annually and legal-liability substitution is a trap. We do not provide legal advice on which regulations apply. We do not guarantee fee amounts (final fees are per PRO calculation on submitted data). We do not handle authorised-representative registration for non-EU tenants. The submission itself stays with the tenant or their advisor. You download the file, log into your PRO's portal, and upload.

How it lands in your account

Bundled by default in Manufacturer, Distributor, and Data Provider tiers (their contribution is the data that makes it work). Available as a paid add-on for Retailer, Multi-Location, Reseller, and Hybrid tiers. Enabling it is a wizard that reads your historic destinations, asks per country whether you are registered, and detects which streams apply from your catalog. Reports become available immediately for the full shipment history because snapshots are captured all along; there is no "come back in six months when we have data" step.

Why this position is structurally rare

Distributors see B2B sell-through to resellers, not what end customers actually search for. Manufacturers see sell-through to distributors, two or three steps removed from the buyer. Shopify Analytics is per-store, cookie-gated in the EU, and policy-bound against cross-merchant aggregation. ACES, PIES, and TecDoc distribute catalog content; they don't capture consumption. The only position that can see last-mile demand signal across many competing resellers is a shared vertical platform that those resellers voluntarily plug into. PowersportOS is that position.

What each part of the chain gets

• Manufacturers: the data points an S&OP team would build a dashboard around if the data existed. Sell-through velocity per SKU per region (how fast does a part move from dealer shelf to customer). Inventory aging across the network (which SKUs are sitting still, before return requests reveal the overstock). Search-to-sale ratio per SKU (hot demand vs idle curiosity). Regional demand patterns (what is moving in the Nordics vs Southern Europe, ahead of distributor-channel feedback). All across the independent-reseller network, not just dropship arrangements where the data flows for free.
• Distributors: aggregate stock per region across their reseller network, brand-coverage grid, search-trend signal, sell-through-rate visibility. The strategic intelligence layer the larger ones have been trying to build internally for years.
• Retailers: cookieless analytics on their own storefront, zero consent banner, plus visibility into which parts are trending across the network so they can stock the right inventory. Crucially, this also closes the data-visibility gap between dropship and stock-holding operating models, letting stock-holding resellers compete with dropship on operational signal without giving up the margin or control that comes with holding inventory.
• End customers (indirectly): better content because brands have a reason to keep it pristine, smarter cross-sell, fitment data that stays current.

You stay in control of your contribution

Every tenant decides what they share. Default is private; aggregate views require explicit opt-in per tenant. Aggregates use k-anonymity techniques so individual tenant data cannot be reverse-engineered from the total, and no per-tenant attribution ever appears in cross-tenant views: reseller A can never infer reseller B's stock or sales from any aggregate they have access to. We aggregate business data (catalog membership, search interest, stock totals), never end-customer-attributable activity. Documented in full in our Privacy Policy and DPA.

Honest about where we are

With a handful of tenants, network aggregates aren't valuable yet. The dataset compounds with each opted-in tenant, and the value to manufacturers and distributors scales with that. We are not claiming the dataset is dense today. We are claiming the position is the right one to build it from, and the layer that scales in value with each new participant is one no other vendor in the chain is structurally positioned to replicate. The early tenants who opt in are the ones who shape what the network looks like when it matures.