Commerce Operations
Edge Compute Checkout
Definition
Running checkout decision logic, such as discount validation or pricing rules, on servers at the network edge close to the buyer, to keep the added latency of each decision low. It is an architecture for in-checkout decisions; post-order margin checks, the approach Agentis takes, do not need it.
By Herzel MishelFounder, AgentisLast reviewed
Edge compute checkout refers to running checkout decision logic at distributed server locations near the buyer, rather than routing every evaluation back to a central origin server. It applies general edge-computing principles to commerce: if a decision has to happen while the buyer waits, moving the computation closer to the buyer shortens the round trip. Common platforms for this kind of workload include Cloudflare Workers, Fastly Compute, and AWS Lambda@Edge, which run code in lightweight isolates or WebAssembly (WASM) runtimes across many points of presence. WebAssembly matters here because it gives a portable, sandboxed, fast-starting execution format that can run the same logic on every node. The motivation is that checkout latency is sensitive: any decision inserted between the buyer's click and the confirmation page adds wait time, and slower checkouts tend to convert worse. Edge execution keeps that added time small for logic such as discount validation, tax or duty estimation, or personalization. The constraints are real, though. Edge nodes are far from the systems of record, so data such as live ERP cost has to be cached or replicated to the edge, which raises freshness and consistency questions. Cold starts, per-region observability, and debugging across hundreds of locations add operational work. And on hosted checkouts such as Shopify's, merchant logic inside checkout runs on the platform's own infrastructure (Shopify Functions), not on code the merchant deploys to an edge network, so 'edge checkout' is mostly relevant to custom or headless stacks. The other way to avoid the checkout latency budget is to move the margin decision out of checkout entirely. Agentis does not use edge compute or WASM: it reads each order after it is placed, computes true net margin within 60 seconds from live store data, NetSuite COGS, freight, fees, and FX, and flags the order or holds it before fulfillment under merchant-approved rules. That trade gives up the ability to change the cart in the moment, and in exchange the check has time to read authoritative cost data directly instead of a cached copy.
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Related Terms
Profit Governance
Checkout Enforcement
Applying business rules inside checkout itself, before an order is placed, so a cart that breaks a rule cannot be completed. On Shopify this is done with discount settings and Shopify Functions such as the Cart and Checkout Validation Function. It is distinct from post-order controls that act after the order is placed and before it ships.
Profit Governance
Profit Floor
The minimum margin an order must clear after discounts, COGS, freight, fees, and FX are counted. Orders that fall below the profit floor are flagged for review or automatically held before they ship.
Profit Governance
Profit Governance
A systematic framework for applying profitability rules to every order, so no order ships below acceptable margin thresholds without review.
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Stop judging margin on stale cost data. Agentis pulls live COGS from Oracle NetSuite (commonly via Celigo) and uses current costs to check every Shopify Plus order's true margin within 60 seconds, before fulfillment.
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Ecommerce Margin Protection Software
Per-order, per-SKU, and per-channel profitability from your ERP, logistics, and FX data, checked on every order within 60 seconds so below-margin orders can be stopped before fulfillment.
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