How TaylorMade Optimizes Inventory and Forecasting with SPS Commerce
Founded in 1979 by Gary Adams, TaylorMade Golf began with a single innovation: a stainless steel driver that transformed the game. Since then, TaylorMade has grown into a global golf powerhouse, trusted by champions such as Tiger Woods, Rory McIlroy, and Collin Morikawa. The company is known for its drivers, irons, and putters, and relies on fast, actionable insights to optimize inventory, forecast sales, and guide product decisions across wholesale and e-commerce channels.
The challenge:
The solution:
The result:
The challenge
TaylorMade operates across multiple channels and regions, each with unique trends and dynamics. While wholesale remains roughly five times larger than e-commerce, both channels require precise insights to optimize inventory and forecasting. Product performance varies across markets, making granular, actionable insights critical. Before leveraging SPS Commerce, TaylorMade relied primarily on sell-in data, which only reflected what left the warehouse, not what consumers actually bought. Without reliable sell-through data, forecast accuracy was limited by retailer ordering patterns, inventory recommendations lacked retailer-specific evidence, and regional performance variations were difficult to track systematically.
The solution
TaylorMade turned to SPS Commerce to gain a comprehensive view of sell-through data. By ingesting retailer sales data directly from SPS, the company now has a reliable, consistent feed of weekly insights that inform demand planning and inventory recommendations. Andrew Berg, Planning & Analytics Manager, explained that SPS data has become a key input in forecasting and product assortment decisions, complementing other internal sources. On the technical side, TaylorMade uses Snowflake as a centralized platform to integrate SPS data with product master files, customer data, and internal reporting systems. The combination of SPS Commerce and Snowflake enables the team to quickly validate data, identify trends, and generate actionable reports through dashboards. This streamlined workflow allows TaylorMade to provide retailer-specific guidance, align on sales plans, and adapt inventory and assortment decisions to market needs.
The results
With SPS Commerce, TaylorMade now systematically monitors regional performance, tracking product launch trajectories and market anomalies in near-real time. Inventory recommendations to retail partners are backed by normalized sell-through data, making sales conversations more credible and collaborative. SPS insights also inform product development, guiding SKU creation and category planning based on actual retailer and consumer trends rather than historical orders. Combined with Snowflake, this centralized data environment provides a scalable analytics foundation that improves operational efficiency and enables smarter, data-driven decisions across both wholesale and e-commerce channels.
SPS data integrated into Snowflake allows our team to spend less time wrangling data and more time analyzing insights to guide the business.
– David Damitz, Director, Business Intelligence and Analytics