Seasonal demand, April, October peak, off-season clearance, pre-season launches, how do you model it?

Outdoor + camping revenue is 65-75% concentrated April, October. The off-season has its own pattern (sleeping bags + down jackets push Nov, Jan; ski + ice gear Dec, Feb). Magento handles the full calendar natively.

The seasonal calendar I default to:

• February, March (pre-season catalog launch): new SS collection drops, returning customer reactivation (Klaviyo flow: “Your next trail is calling” with their last-purchased category). Pre-warmed cache for the late-March traffic surge.
• April, June (primary surge): 4-5x baseline traffic. Mother’s Day + Memorial Day + Father’s Day promo windows. Brand authorized-dealer MAP enforcement gets tested hard.
• July, August (mid-summer restock): sustained traffic, restock cycles, fit-guide volume peaks (boot returns from June drive size adjustments).
• September (Labor Day clearance): SS collection clearance, FW catalog teaser. Catalog price rules + content staging time the visibility flip.
• October, December (off-season): sleeping bags, down jackets, snowsports gear, gift bundles, Patagonia Black Friday inverse (donate-day rather than discount). AOV climbs even though volume drops.
• January, February (slowest 6 weeks): used + refurb push (trade-in volume from Dec gift returns), gear-maintenance content, planning-season SEO push.

Inventory forecasting integration: Cin7 / NetSuite / Brightpearl as the inventory backbone, Magento as the order-of-record. Forecasting uses 3 years of seasonal data + brand-mix shifts + planned authorized-dealer launches.

Pre-warmed Hyvä + Cloudflare cache 24h before each major surge so a 4x traffic week doesn’t take the storefront down.