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AI Commerce
That You Own

Ship faster, sell smarter, and run leaner with AI built into your B2B commerce platform. Spryker helps teams cut development costs, speed up buying journeys, and automate the manual work behind every order, without locking you into one AI vendor.
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AI-guided shopping
30%
Reduction in time to purchase
AI in the Back Office
50%
Increase in administration efficiency
AI development on Spryker
40%
Increase in developer productivity

The AI Commerce Execution Layer for Enterprise B2B

Agents are getting good at deciding. They're still bad at executing against systems that weren't built for them.

Spryker is the layer where agent intent becomes a governed, auditable commerce transaction. The same logic, same permissions, same audit trail, whether the request comes from a person or an agent.

  • Open code AI can reason about

    Every module readable and extensible, so agents and copilots work inside your architecture instead of around it.

  • Composable and vendor-neutral

    One standard across storefront, portal and back office, with model choice kept open at the AI layer.

  • Governed by design

    Human-in-the-loop review, documented agentic actions and a full audit trail across every AI-driven change.
    • Adoption model

    Three Vectors of AI Adoption in Commerce

    AI builds your platform, runs inside your workflows, and increasingly arrives as the customer. Spryker supports all three on one architecture.
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    AI as a Developer

    AI builds and extends the platform. Engineers set intent, agents execute inside Spryker's architecture.

    Ship features in weeks, not quarters,
    with every change reviewed by you
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    AI as a Capability

    AI runs inside commerce workflows, governed by the AI Foundation across PIM, CMS, search and the Back Office.

    Your merchants do catalogue work
    in minutes instead of days
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    AI as a Consumer

    External agents and channels transact with your commerce platform directly through agent protocols.

    Sell to procurement agents
    without a bespoke integration per buyer

    • THE UNCOMFORTABLE TRUTH

    AI will increasingly own interaction, but it cannot own enterprise commerce execution. AI can handle intent, conversation, and orchestration, but it cannot safely replace the deterministic enforcement layer required for pricing, approvals, entitlements, compliance, and transaction integrity.

    The durable architecture is therefore hybrid: AI at the interaction and orchestration layer, deterministic execution at the core. This is not a temporary phase on the way to full autonomy; it is the structural pattern enterprises will need as agentic layers expand.
    Strategy

    Spryker AI Strategy Pillars

    A composable B2B commerce platform with an embedded AI capability layer. Three pillars build on each other, from vendor-neutral governance up to ready-to-use commerce workflows.

    AI Foundation

    Spryker AI Foundation gives you a unified platform to connect AI providers and reuse proven patterns to deliver AI-powered commerce faster

    ✓  Orchestration layer with a unified API layer

    ✓ Centralised management of AI capabilities

    ✓  Full freedom in choosing AI vendors and models

    ✓  Cost control and traceable by design
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    Architecture

    Spryker's Architecture is Built for AI-Driven Commerce

    The only enterprise commerce platform where open code, consistent architecture, and true composability come together - not as a promise, but by design.

    Spryker enables continuous, faster innovation with control, not an AI-generated maintenance mess.

  • Open Code

    AI agents know Spryker deeply: every module, every boundary, fully readable.

    Higher delivery efficiency

  • Consistent Architecture

    A predictable framework that lets AI move fast without breaking things.

    Continuous innovation at scale

  • Composable by Design

    One platform, one standard, vendor-neutral at the AI layer, at any scale.

    Faster time-to-value
    • AI as a Developer

    Spryker AI Dev SDK

    The AI Dev SDK brings agentic development to the Spryker platform, so teams ship full-stack commerce features faster while keeping engineering judgment in command.
    Specifying · Coding · Testing · Deploying

    Across the SDLC

    ✓  Speed, end-to-end

    ✓  Engineers direct, AI accelerates

    ✓  Platform-native quality

    ✓  Traceable by design
    Agentic engineering
    40%
    Lower development costs
    Release velocity
    3.7x
    Faster release cycles
    Human in the loop
    100%
    Engineers review and ship every change
    AI as a Capability

    Spryker AI Commerce

    AI capabilities sit inside the workflows your teams already use. In the Back Office, an extensible multi-agent assistant handles order creation, catalog work and navigation in natural language, with every action logged.
    One example:

    Smart Back Office Assistant

    AI capabilities sit inside the workflows your teams already use. In the Back Office, an extensible multi-agent assistant handles order creation, catalogue work and navigation in natural language, with every action logged.

     
    AI as a Consumer

    When the Buyer is an AI Agent

    Procurement agents and administration agents are starting to transact on behalf of enterprise buyers. Spryker exposes commerce as a machine-readable surface: MCP support for agent protocols and complete, documented APIs through the API Platform.

    Same domain logic, same permissions, same audit trail, whether the request comes from a storefront, a portal or an autonomous agent.

    Ready to Build AI Commerce on Your Terms?

    Own your data, your logic and your model choice. Spryker gives enterprise teams a composable foundation that turns AI into measurable commerce outcomes.
    Book a Demo
    Explore Spryker Platform
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    Frequently Asked Questions

    AI Commerce raises new opportunities and new questions. This FAQ helps clarify what it means in practice and why Spryker is designed to meet real-world enterprise needs.

    AI Commerce applies machine learning, LLMs and autonomous agents to enhance discovery, automate operations and personalise buying journeys. Where traditional e-commerce depends on static rules and manual processes, AI Commerce adapts in real time, reduces operational workload and enables more predictive, efficient buying across complex B2B scenarios.