Questions we hear before the contract goes out the door.

Eleven business days from contract signature to first picked production order is our benchmark. The launch sequence: route modeling (D1), integrations live and tested (D3), inventory landed and bin-mapped (D7), first orders ship (D11). A dedicated launch architect runs every onboarding — not a generic onboarding queue.

We've migrated brands mid-peak without a single missed cut-off. The play is a phased cut-over: we onboard a subset of SKUs first, validate the full order flow against your storefront, and then move the rest of inventory in a sequenced transfer. Your customers see zero downtime.

The Pilot plan starts at any volume — we've onboarded brands shipping 80 orders a month and brands shipping 80,000. Below 2,500 orders per month, the Pilot economics work cleanly. Above that, the Scaling plan starts paying for itself in lane optimization alone.

By actual cube — meaning the physical volume your inventory occupies, calculated from SKU-level dimensions captured at receiving. Refreshed on every scan event. You'll never pay for "pallet positions" you don't actually fill, and there's no "long-term storage" surcharge on slow-moving SKUs.

No. Every line on every Speedizon invoice traces back to a scan event in Atlas — and any line is auditable by your finance team. Carrier surcharges (fuel, residential, address correction) are passed through at cost, never marked up. We don't charge for Atlas access, returns intake, integration maintenance, or inventory audits.

The Pilot plan is month-to-month, no minimum. The Scaling plan defaults to a 12-month term with a 30-day off-ramp if it isn't working. Enterprise terms are negotiated per account but typically run 24–36 months with quarterly business reviews and an early-exit clause tied to documented SLA misses.

6 PM local hub time on all Speedizon hubs. Orders received before that ship the same business day. During peak (mid-Nov to early-Jan), we extend cut-offs at the flagship Newark hub to 8 PM ET for brands on the Scaling and Enterprise plans. The cut-off is contractually committed, not aspirational.

Atlas flags the miss in real time — your launch architect knows before your customer service inbox does. The contract includes documented SLA-miss remedies, including credit-backs on dispatch fees and (after repeated misses) an early-exit clause. Transparency over excuses.

Yes, encouraged. We host scheduled brand tours at NWK-D1 every Tuesday and Thursday. For Scaling and Enterprise accounts, on-site quarterly business reviews are standard — your team and ours, walking the floor together.

Every returned unit gets a verdict within 24 hours of receipt. Photographed at QC, status logged in Atlas, and reconciled back to your finance surface. Restock, refurbish, donate, or recycle — the routing rule is yours to define per category.

Yes. When the Atlas QC verdict matches your defined rule (e.g. "refund on receipt for unworn apparel returns"), the storefront refund fires automatically. Your customer service team isn't a manual intermediary unless you want them to be.

Yes. We operate cross-border lanes to Canada, Mexico, UK, EU, and Australia from US origin, plus a Rotterdam (NL) gateway for European-resident fulfilment. Tariff classification, DDP routing, and IOSS/LVCR registration are managed in-house.

Delivered Duty Paid means your customer's checkout total is the final total — no surprise duties at the door. Speedizon prepays duties and reconciles back to your finance surface, with the landed cost quote-locked at order capture. We absorb the variance if our quote was wrong.

Yes — SOC 2 Type II annually, scoped to security, availability, processing integrity, confidentiality, and privacy. Reports available under NDA. We're also GDPR-aligned for EU brand data and offer EU data residency for the Rotterdam gateway.

You do. Period. Speedizon is a processor under your direction, not a data broker. On contract exit, we hand back a full Atlas export within 14 days and confirm deletion within 90. We will never sell, share, or train external models on your order data.