Tuckernuck operates a direct-to-consumer apparel platform built on Shopify + NetSuite, backed by a modern data stack (BigQuery, dbt, Fivetran). The tech choices reveal operational maturity: they've invested in SQL-based analytics and marketing automation (Klaviyo, GA4, Meta) typical of scaling D2C retailers. Current hiring skews toward design and sales roles, aligning with their active projects around new store launches and international expansion, though their pain-point list—inventory turn, sell-through, fulfillment ops—suggests they're managing complexity growth faster than analytics tooling can support.
Tuckernuck is a direct-to-consumer apparel and lifestyle brand founded in 2012, based in Washington, DC. The company curates apparel, gifts, and home accessories across men's and women's fashion, positioning itself around a classic American aesthetic. Operations include digital storefronts, fulfillment logistics, and seasonal inventory planning. The team is small (11–50 employees) but expanding, with current focus on launching new store locations and entering international markets. They process two billion rows of transaction and behavioral data annually, surfacing both scale and a stated challenge to extract value from that volume.
Tuckernuck uses Shopify for e-commerce, NetSuite for operations, BigQuery + dbt + Fivetran for data pipelines, Klaviyo for email marketing, and Google Analytics 4 + Meta for advertising. Design tools include Figma, Photoshop, and Illustrator.
Active projects include launching into new international markets, opening new store locations, pre-season planning and seasonal inventory maintenance, financial planning, A/B testing initiatives, and building PR and marketing calendars. They are also focused on monitoring service-level agreements and fulfillment operations.
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