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VENTURE CASE STUDY · BUILT & INCUBATED

Entellra: Reimagining Hospitality Orchestration

How Corpela designed and engineered Entellra, an autonomous restaurant management platform using agentic workflows to automate supply chains and front-of-house reservations.

Corpela's Role Product Strategy, UX/UI Design, Full Stack Development
Target Sector Fine Dining & Multi-Chains
Venture Website entellra.com ↗

What We Built For Entellra

01

Agentic Inventory

AI agents monitor inventory weights and sales velocity. When flour or wine levels drop, the agent automatically drafts purchase orders, verifies pricing history, and completes orders with suppliers.

02

Smart Reservation Agent

A voice and SMS agent that handles customer requests. It checks table spacing grids, handles custom allergies or birthday requests, and updates hosting maps without human intervention.

03

Unified POS & Billing

A rapid point-of-sale client that coordinates handheld table orders with kitchen ticket workflows. Features split payments, digital invoicing, and immediate tips ledger allocation.

04

AI Labor Scheduler

Matches restaurant shift rosters against weather patterns, historical order volumes, and reservation book templates to suggest optimized employee count distributions.

Restaurant Orchestration Dashboard

Entellra POS Dashboard

Market Validation

40%
Reduction in dry stock waste
15hrs+
Manager scheduling hours saved/wk
94%
Reservation booking match success rate
1.8M+
Transactions processed monthly

Technical Infrastructure

Entellra was incubated entirely in-house at Corpela. To handle microsecond table booking synchronizations and heavy API telemetry from global restaurant locations, we structured a modular architecture:

1. Agentic Pipelines (Python / PyTorch) Autonomous supply inventory actions utilize local semantic evaluation modules to safely parse supplier PDFs, negotiate terms, and detect invoice errors.
2. Mobile POS & Handheld Clients (React Native / SQLite) Kitchen display systems and server tablets rely on zero-latency SQLite synchronizers. If local WiFi drops, orders remain in queue and auto-upload once signal is restored.
3. Highly Available Data Clusters (AWS RDS / PostgreSQL) Multi-region read replicas ensure that checkout billing terminals sync inventory and daily transaction reports with central dashboards in under 120ms.