The architecture underneath determines the economics on top.
Your ordering system charges per-order because it costs per-order. Ordrin doesn't.
Headless infrastructure that decouples cost from volume. This page explains how it's built, what it enables, what it hasn't proven yet — and what it requires from your engineering team.
Per-order pricing is an engineering constraint, not a business decision.
Incumbent ordering systems process each transaction through a templated rendering pipeline — incremental compute per order, scaling linearly with volume. The vendor's per-order fee is cost recovery on that architecture. Negotiating the fee changes the price point on a curve whose slope is set by the engineering.
Ordrin eliminates the templated rendering layer. Infrastructure cost to serve your 200th location is structurally the same as your 50th. That's what makes a flat annual fee viable rather than subsidized — and what makes the no-per-order guarantee permanent rather than promotional.
Third-party payment processor fees still apply and are passed through at cost.
Four architectural decisions and what they cost us.
Each choice below preserves flat-fee economics at 50–200+ locations. Each one closed a door — a market sacrificed, a shortcut abandoned — because the alternative would have reintroduced the cost structures the architecture was designed to eliminate.
Headless by design
No rendering layer, no templated front-end. Your team builds the experience; Ordrin provides ordering logic through APIs. This is what makes flat-fee viable — without a per-transaction pipeline, no incremental cost per order.
You need front-end engineering resources. That's a capability requirement, not a feature gap.
Event-driven processing
State changes propagate as events — not scheduled syncs or manual triggers.
Event processing at extreme scale has not been tested in production yet. Benchmarks will be published as deployments expand.
Modular composition
Ordering logic, menu propagation, reconciliation, and automation — deployable independently or together. No forced bundles.
Integration complexity varies by module and existing stack.
API-first integration
Every capability accessible programmatically. POS, payment, and channel reconciliation are all API-driven.
New integrations require engineering effort. Timeline depends on your specific stack.
What connecting to your existing stack actually looks like.
Ordrin connects to POS, payment, loyalty, and marketplace systems through open APIs. That's the accurate version. The complete version: integration isn't instant, isn't automatic, and the timeline depends on your stack's API maturity and your team's bandwidth. We name the complexity because you'll discover it either way.
POS integration
Open APIs to supported POS systems. Configuration steps, parallel-run before cutover. Swapping POS after deployment requires reconfiguration — the infrastructure supports it, but the transition is not trivial.
Payment and loyalty
Adding providers doesn't require re-architecting — but each requires configuration, testing, and validation before production.
Marketplace channels
In active development. Deployment status and throughput data will be published as the module reaches production readiness.
Provider swap commitment
The architecture is provider-agnostic. Ordering logic stays stable during transitions. Integration layer requires reconfiguration. We won't tell you swapping is painless. We will tell you it doesn't require starting over.
Capabilities with deployment status attached.
Each carries a label — because this audience can tell the difference between proven at 140 locations and demonstrated in staging.
Intelligent order routing
Routes to the right location by capacity, zones, prep time, and time of day. Operator-defined logic, consistent across channels.
In practice
- →Overflow routing during peak volume
- →Nearest-store delivery routing
- →Catering prep balancing by lead time
Centralized menu propagation
Updates propagate from a single configuration point across all channels.
In practice
- →86 once, reflected everywhere
- →Location-specific pricing without manual reconciliation
- →LTO coordination from one point
Front-end freedom
Your team builds the customer experience — kiosk, app, web, catering portal. No design constraints from the infrastructure.
In practice
- →Custom kiosk interfaces matching brand identity
- →Members-only ordering apps with unique workflows
- →Catering portals with approval and scheduling logic
Operational visibility
Real-time signal — order flow, timing, channel performance, capacity — through the API, not a vendor dashboard.
In practice
- →Monitor order flow across locations programmatically
- →Surface timing issues before they compound
- →Channel performance data accessible through the API
Rule-based automation
Operator-defined rules for predictable decisions: 86 propagation, routing under load, channel pausing at thresholds.
In practice
- →Prep time rules adjusting on real-time volume
- →Channel pause at defined load thresholds
- →Demand pattern surfacing for staffing decisions
Infrastructure-level migration support
Swap POS, add channels, extend integrations. Ordering logic stays stable; integration layer reconfigures.
In practice
- →POS migration without rebuilding the ordering experience
- →New channel addition on existing infrastructure
- →Market expansion on the same foundation
AI capabilities — labeled the same way we label everything else.
The architecture produces what AI needs: clean data, real-time events, structured signal. Here's what's built on it.
Operational signal interpretation
Interprets order flow, menu behavior, and system state across locations and channels. Intelligence provides context. Operators retain authority.
Decision support infrastructure
Context and tradeoffs surfaced to operators through the API. The system supports decisions — it doesn't make them.
Agentic workflow support
Structured data access, event subscription, and action APIs for AI agent operation. What's been tested with agents vs. architecturally supported but unproven will be specified as capabilities deploy.
The honest summary
Not every intelligent capability has been deployed and measured. We'll tell you which ones have — updated quarterly.
What the architecture changes — and what it doesn't.
What it changes
Per-unit cost trajectory. Under flat-fee infrastructure, cost per location and cost per order decrease as you grow. The flat fee is contractually permanent. Contract language is published.
Third-party payment processor fees still apply and are passed through at cost.
What it doesn't change
Migration complexity. Months of work. Dedicated engineering hours from your team. Parallel-run period. Menu migration, integration reconfiguration, and front-end development are real costs that factor into the ROI model alongside long-term savings.
What your engineering team should evaluate.
These questions assume technical evaluators who will examine the architecture, test the APIs, and stress-test the integration claims. If a question is missing, that's a gap we should close.
Open APIs to supported systems. POS is the highest-complexity integration — and the one most likely to surface edge cases. Specific timelines and production deployments are available during technical evaluation.
You own the front end — design, development, maintenance. If you don't have that capacity, Ordrin isn't right today.
Documentation is public and ungated — evaluate before the first conversation.
Three-tier breakdown: deployed and measured, built but not at scale, on the roadmap. Updated quarterly.
Data migration, integration reconfig, front-end build, parallel-run, cutover. Months, not weeks. We cover the plan, the risks, and what's gone wrong before — in the Implementation Reality briefing, before the contract.
Yes. Front-end development, integration configuration, ongoing operations. Without that capacity, the requirements aren't justified today — we'll recommend waiting.
Evaluate the architecture yourself.
API docs are public. TCO calculator is ungated. What We Can Prove is updated quarterly. Start with the evidence before you start with us.