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LOGISTICS TEARDOWN POST-MORTEMPROJECT ANONDOMOY // HOSPITALITY LOGISTICS ENGINE

Teardown: Project Anondomoy.

Architecting an omnichannel logistics engine for high-volume hospitality. We bypassed disconnected third-party APIs to engineer a unified, zero-latency ecosystem using Agentic AI for supply chain predictions, n8n for webhook routing, and Next.js for real-time Kitchen Display Systems (KDS).

OPERATIONAL STATUS[ Status ]: DEPLOYED & ACTIVE
ROUTING VELOCITY[ Average Routing Latency ]: < 150ms
UNIFIED CHANNELS[ Endpoints ]: UberEats, DoorDash, POS
CORE ARCHITECTURENext.js | n8n | Redis | WebSockets
KITCHEN CHAOS DIAGNOSTIC

Fragmented APIs Destroy Kitchen Throughput.

Before iHexe, the client's kitchen was paralyzed by digital fragmentation. A single restaurant location was running three separate tablets for delivery apps, a standalone legacy POS for dine-in, and paper tickets for the kitchen. When a Friday night rush hit, API rate limits caused dropped orders, asynchronous data led to massive food waste, and the lack of a centralized database made predictive inventory impossible.

[ INTERACTIVE DATA RIVER LOGISTICS PIPELINE ]
PIPELINE NODE INSPECTION // STEP 01
STATE: EXECUTING
ORDER ID: ORD-UBER-9821
TARGET KDS: KDS Screen 01 (Grill)
LIVE LATENCY: 48ms
AGENTIC AI PREDICTOR
Inventory Burn Forecast
// LOGISTICS TEARDOWN PROTOCOL

The iHexe Logistics Protocol

LOGISTICS MODULE 01

Aggressive n8n Webhook Interception

We eliminated the tablet farm. We engineered a centralized n8n orchestration hub that aggressively intercepts every incoming API payload from UberEats, DoorDash, and custom web orders. The n8n nodes instantly normalize the chaotic, differing JSON structures into a single, standardized data format before pushing it to the database.

LOGISTICS MODULE 02

Zero-Latency Next.js Kitchen Display (KDS)

The kitchen requires absolute real-time data. We bypassed standard HTTP polling and architected a custom Next.js Kitchen Display System powered by WebSockets and Redis. The exact millisecond an order is parsed by n8n, it is pushed live to the KDS screens. No page refreshes. Zero dropped tickets.

LOGISTICS MODULE 03

Agentic AI Supply Chain Prediction

We turned historical data into predictive action. We deployed an Agentic AI model connected via secure MCP to the unified database. The agent autonomously analyzes upcoming weather patterns, local events, and historical sales velocity to accurately predict ingredient depletion, alerting management before a high-margin item 86s.

ORCHESTRATION CODE LOGS
// n8n Code Node: Aggressive API Payload Normalizer
// Unifies UberEats, DoorDash, QR Web, and Legacy POS into iHexe Order Schema

const incomingPayload = $json.body;
const provider = $node["Webhook Trigger"].parameter.path;

let normalizedOrder = {
  orderId: "",
  source: provider,
  customerName: "Guest",
  items: [],
  totalCents: 0,
  timestamp: new Date().toISOString(),
};
if (provider.includes('ubereats')) { normalizedOrder.orderId = `UE-${incomingPayload.eats_order_id}`; normalizedOrder.items = incomingPayload.cart.items.map(item => ({ sku: item.id, name: item.title, quantity: item.quantity, modifiers: item.selected_options || [] })); }
// Push normalized payload directly into Redis Pub/Sub for sub-50ms KDS broadcast return { json: normalizedOrder };
VERIFIED LOGISTICS ENGINE // zero dropped ticketsENGINEERED BY iHEXE
UNIFIED LOGISTICS ENGINE PROOF VERIFIED

Ready to Unify Your Hospitality Operations with Zero Latency?

Eliminate tablet farms and dropped orders. Work with iHexe engineers to deploy custom n8n webhook hubs, WebSocket KDS screens, and autonomous inventory agents.