Buyer expectations are rising, internal teams are overstretched, and competitors are rapidly embedding AI in their operations. AI Commerce increases revenue through smarter discovery and personalization, lowers costs with automated catalog and content workflows, and scales complex business models more efficiently. Early movers gain a long-term advantage by replacing rigid processes with adaptive, intelligent operations that traditional platforms can’t support.

Spryker already ships with a growing set of real-world-proven AI capabilities, including visual search, image-to-cart, product translations, category suggestions, alt text generation, personalization via Algolia, Amazon Q insights, and developer copilots like DevQA GPT, Engineer GPT, Cypress GPT, and K6 GPT. Each feature is built around actual customer challenges, and our AI portfolio continues to expand as we co-innovate with enterprises across industries.

Agentic AI at Spryker means moving beyond simple chat or single-step automation to AI agents that autonomously execute multi-step tasks with guardrails. Powered by our MCP-based architecture, these agents can support catalog enrichment, product onboarding, pricing updates, SLA and contract workflows, and troubleshooting; all with full data ownership, transparency, and enterprise-grade control.

Spryker provides open APIs, a modular and composable architecture, and full data ownership, allowing businesses to integrate any AI model without lock-in. Unlike rigid SaaS or monoliths, Spryker decouples AI from the core commerce engine, reducing maintenance overhead and enabling enterprises to scale their AI strategy freely as new models, standards, and agent frameworks emerge.

Spryker is designed for complexity from the ground up: multi-brand, multi-market, multi-role, multi-catalog, marketplace, and advanced workflows come standard. This composable, agent-ready foundation allows AI to enhance even the most intricate business processes. Real-world-proven AI features already exist in Spryker today, and our open architecture makes it easy to keep co-innovating with customers, continuously adding capabilities that solve real enterprise challenges.