Golf equipment retailer with AI-powered customer workflows and ERP modernization
2nd Swing is a specialty golf retailer operating a high-volume online and physical business, with 60,000+ pre-owned clubs and custom-fitting services as core offerings. The tech stack reveals active AI adoption—multi-step tool-calling workflows, model routing across OpenAI and Anthropic, and semantic search via pgvector and LangChain—paired with ongoing NetSuite ERP customization and training. Sales hiring (18 open roles) far outpaces engineering (2 roles), signaling a growth-first posture where AI is being deployed to handle customer query volume and order management rather than to drive product innovation.
2nd Swing is a specialty retailer of new and pre-owned golf equipment and accessories, headquartered in Eden Prairie, Minnesota. The business operates both an e-commerce platform and retail locations, built around a customer promise of expert club fitting and large inventory selection. The company employs 201–500 staff and has been in operation since 2007. Core services include custom club fittings, loft and lie adjustments, and a demo program. Internal operations rely on NetSuite for ERP and UKG for workforce management, while customer-facing tools include Trackman launch monitoring, Braintree and PayPal payment processing, and Affirm financing. Recent strategic focus areas include brand visibility, market expansion, and marketing budget optimization.
2nd Swing uses Trackman technology for club launch monitoring and custom fitting. The company also operates a demo program and offers loft and lie adjustment services, all supported by certified and trained staff.
2nd Swing uses NetSuite, currently undergoing customization and post-implementation training and support. The company also uses UKG for workforce management and Trackman for golf club fitting operations.
2nd Swing Golf's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.