简体中文
EnglishWhat components make up the Alokai frontend platform?
Updated
Alokai is a frontend platform for enterprise commerce that bundles seven components into one system: Storefront, Connect, Cloud, Console, Compass AI, Studio, and Commerce Intelligence. It sits between your backend and your customers, covering everything from the data layer to the deployed storefront. This breakdown is for teams evaluating whether to replace a patchwork of separate frontend tools with a single platform, or trying to understand how the pieces fit together before a demo.
The seven components and what each one does
| Component | Role | What it replaces |
|---|---|---|
| Storefront | A complete storefront your team owns and scales | A custom-built or heavily forked frontend |
| Connect | One data layer for your backend, CMS, and search | Glue code stitching together separate integrations |
| Cloud | Managed infrastructure, run by Alokai at a 99.9% SLA | Self-managed hosting and scaling |
| Console | Every deploy and metric in one place | Scattered CI/CD dashboards and monitoring tools |
| Compass AI | AI built into the storefront, from search to checkout | Separate AI/search vendors bolted onto the frontend |
| Studio | Your team describes a change, AI builds it into the storefront | Manual frontend development cycles |
| Commerce Intelligence | Finds where your storefront leaks revenue and hands you the fix | Manual performance auditing and guesswork |
How the components work as one system
The value isn't in any single component — it's that they share context. A few concrete connections:
- Connect feeds Storefront. Instead of writing and maintaining separate connectors for your commerce API, CMS, and search, Connect provides one data layer that the storefront reads from. When you add or swap a backend vendor, you change it in Connect rather than rewriting storefront code.
- Studio writes into Storefront, gated by Console. A developer describes a change in natural language; Studio builds it into the storefront. Console then tracks the deploy and its metrics, so the change is visible in the same place as everything else.
- Commerce Intelligence and Compass AI close the loop. Commerce Intelligence identifies where the storefront is losing revenue and produces a fix; Compass AI operates in the customer-facing path (search through checkout) to act on shopper intent. Both run against the same storefront and data layer, so a fix doesn't require re-instrumenting anything.
The platform's own framing of the problem is that "picking good tools is easy — making them all work as one system is where most teams lose performance and money." Each component is designed to remove one seam where that loss typically happens.
What this means for tool consolidation
If you're currently running a composable stack, the components map to categories of tools you may already have:
- Storefront + Connect replace your frontend framework plus the integration layer between it and your backend systems.
- Cloud + Console replace your hosting provider plus your deployment and observability tooling.
- Compass AI + Studio + Commerce Intelligence replace any separate AI search, AI-assisted development, and analytics/optimization tools.
The consolidation argument is strongest when those tools currently require custom glue between them — that glue is what Connect, Console, and the shared data layer are meant to eliminate.
What to verify before deciding
- Integration coverage. Alokai advertises "ready-made integrations with the vendors you already use." Check that your specific commerce backend, CMS, and search vendors are on that list, since Connect's value depends on it.
- SLA and hosting terms. Cloud is described as managed infrastructure at a 99.9% SLA. Confirm what that covers for your traffic profile.
- Pricing and access. The site has a pricing page, but the available material doesn't state figures or whether a demo is required before access. Treat cost and onboarding requirements as open questions to raise directly.
- Migration path. If you have an existing storefront, ask how Storefront and Connect handle incremental adoption versus a full rebuild.
For teams whose main pain is slow storefronts, slow shipping cycles, or AI that doesn't move conversion, the platform is positioned around exactly those three problems — which makes them the right questions to lead with in a demo.