SPS Commerce (SPSC) investor relations material

Business overview and supply chain digitization

• Operates a cloud-based network connecting over 50,000 participants, including 4,000+ major retailers and distributors, to facilitate order and shipment information exchange and improve supply chain collaboration.

• Recent focus includes helping customers address chargebacks and supply chain penalties, either by fixing root causes or recovering funds.

• Retail supply chain complexity is increasing due to new brands, direct-to-consumer models, and frequent ERP or supply chain system upgrades, driving demand for modern, cloud-based solutions.

• Digitization accelerated post-pandemic, with omni-channel and e-commerce initiatives fueling collaboration and efficiency needs.

• The network approach enables compliance and efficiency, as changes made centrally benefit all participants.

Financial performance and growth strategy

• 2024 revenue guidance is around $800 million, with adjusted EBITDA margins in the low to mid-30% range and a goal to add 200 basis points of margin annually.

• Midterm growth is targeted at high single digits, with confidence in maintaining this trajectory.

• Growth strategy focuses on expanding within the existing customer base by adding more connections and cross-selling products like Analytics and Revenue Recovery, especially to larger suppliers.

• Average customer spend is $13,500, with a goal to increase blended average to $40,000–$45,000 through a land-and-expand model and product cross-sell.

• Internal efficiencies from AI and agentic onboarding are expected to improve gross margins and accelerate customer onboarding.

Data, AI, and product innovation

• The network captures three types of data: participant-specific, total network trends, and proprietary retailer/distributor compliance databases.

• Combining these datasets with an agentic layer enables advanced workflow automation and compliance management.

• The MAX agentic platform powers chat, monitoring, and agent-building features, supporting both first-party and third-party agent strategies.

• AI-driven onboarding is expected to reduce time to value for customers and lower manual configuration costs.

• Internal AI tools are driving efficiencies in R&D and go-to-market operations, allowing sales teams to better target and manage accounts.