What your ordering infrastructure should do — and where each capability stands.
Every capability below is part of the flat fee. No per-module pricing. No add-on costs.
If a capability hasn't been measured in production at scale, we'll say so. Same honesty discipline as every other page on this site.
One infrastructure layer. No per-capability fees.
Ordering logic, menu management, routing, automation, and intelligence run on the same foundation. Start with what you need. Add capabilities as complexity demands. Expansion doesn't introduce new cost curves — because the architecture underneath doesn't generate incremental cost per module.
Each capability: what it does, and where it stands.
Intelligent order routing
Routes orders to the right location by capacity, zones, prep time, and time of day. Operator-defined logic, executed consistently across channels.
- →Route overflow to secondary locations during peak
- →Nearest-store routing for delivery
- →Catering prep balancing by lead time
- →Daypart-specific routing without manual intervention
Centralized menu propagation
Menu updates, 86'd items, pricing changes, and LTO launches propagate from a single configuration point across all channels.
- →86 once, reflected across all direct channels
- →Location-specific pricing without manual reconciliation
- →LTO launches coordinated from one point
- →Menu logic enforced across web, app, and kiosk
Headless front-end architecture
Ordrin provides ordering logic through APIs. Your team builds the customer experience — kiosk, app, web, catering portal — without design constraints from the infrastructure layer.
- →Custom kiosk interfaces matching brand identity
- →Members-only apps with unique workflows
- →Catering portals with approval logic
- →White-label experiences for franchise partners
The tradeoff
Requires front-end engineering resources on your team. No pre-built templates — because those are the choices that force per-order economics. If you don't have engineering capacity, this determines whether Ordrin is right for you today.
Real-time operational visibility
Order flow, fulfillment timing, channel performance, and capacity status across locations — surfaced through the API, not a vendor dashboard.
- →Programmatic monitoring across locations
- →Timing anomaly detection before cascading
- →Channel performance via API for your own reporting
- →Capacity status without manual check-ins
Rule-based automation
Operator-defined rules for predictable decisions: 86 propagation, routing under load, channel pausing at capacity thresholds.
- →Prep time rules adjusting on real-time volume
- →Channel pause conditions at defined capacity
- →86 propagation across all channels automatically
- →Demand pattern surfacing for restocking/staffing
Operational intelligence
Interprets operational signals — order patterns, fulfillment timing, menu behavior, capacity — and surfaces context so teams act before issues compound. Intelligence recommends. Operators decide.
- →Fulfillment anomaly detection across locations
- →Demand shift interpretation
- →Capacity pressure signals before service impact
- →Configurable automation boundaries — every action overridable
What happens when you need to change something underneath.
Swap POS, add channels, extend integrations. The ordering logic stays stable; the integration layer reconfigures. That's the structural claim. The bilateral version: the stability is real, but reconfiguration isn't trivial.
What stays stable
- Ordering logic and automation rules
- Menu configuration and propagation
- Routing rules and operational intelligence
- Front-end customer experience
What requires work
- —Integration reconfiguration for new providers
- —Data migration and validation
- —Parallel-run testing before production cutover
- —Your team's engineering hours for the transition
Three configurations. Same infrastructure.
The architecture adapts to different operational models. Below are deployment patterns the infrastructure supports.
Multi-brand / Multi-concept
Multiple brands sharing unified ordering infrastructure — centralized menu management, brand-specific front ends, single-cart across concepts, shared visibility.
High-volume single-brand
50–200+ locations with centralized management, intelligent routing, and visibility at scale. The pattern where flat-fee produces the clearest advantage.
Virtual brands / Ghost kitchen
Multiple concepts from shared kitchens — store-level routing, channel management across direct and marketplace.
Security specifics, not security marketing.
Encryption
AES-256 at rest, TLS 1.3 in transit.
Access Controls
Role-based permissions, audit logging.
Compliance
Certification and audit status available during technical evaluation.
Infrastructure
Multi-tenant architecture with isolation between operator environments.
Data Ownership
Your data exports with you — ordering history, menu configs, integrations, operational data.
What to evaluate before deciding.
These questions cover how the capabilities work together, what your team needs to operate them, and where the boundaries are.
Same infrastructure, same data, same event stream. No separate "AI product" bolted on. No per-capability fees or module pricing.
Yes. Start with ordering logic and menu propagation. Add routing, automation, intelligence as complexity requires. Same infrastructure, same flat fee. No new cost curves.
Economics and data. Point tools each introduce per-unit pricing. Ordrin's capabilities share flat-fee infrastructure. Point tools require middleware and reconciliation. Ordrin's capabilities run on unified data — nothing to reconcile.
Front-end development and maintenance. Integration configuration during deployment. Ongoing monitoring and iteration. If that capacity isn't available, Ordrin isn't the right fit today.
Operators define them. Every automated action is overridable. Boundaries configurable per capability, per location, per channel. Intelligence surfaces context; it doesn't execute decisions without authority.
Model what these capabilities cost under your current vendor — and under Ordrin.
The TCO calculator models per-capability fees under per-order pricing against flat-fee infrastructure. Every assumption editable. Break the model before we walk through it.