MallMind
Built on Gemini 2.5 · MongoDB Atlas · Google Cloud

The mall that runsitself.

Real-time zone intelligence, autonomous incident detection, and a Gemini-powered AI agent that takes real actions — all backed by MongoDB Atlas.

Live · Westfield Grand Mall, Dallas TX · Auto-patrol active

5

Zones monitored

30s

Traffic refresh cadence

7

Agent tools

100%

Autonomous operations

Platform

Four pillars of autonomous mall operations

01

Real-Time Zone Intelligence

Live foot traffic readings across all 5 mall zones, updated every 30 seconds. Weather-adjusted occupancy data flags crowd surges, high-density zones, and surge events the moment they happen.

30s refreshweather-adjustedsurge detection
02

Autonomous Incident Detection

The auto-patrol system scans every zone every 5 minutes. When occupancy crosses HIGH or CRITICAL thresholds, incidents are logged automatically, affected tenants are identified, and dispersal campaigns are triggered — no human needed.

auto-patroltenant alertingauto-resolution
03

Campaign Control Center

Every crowd surge or revenue alert automatically triggers a targeted marketing campaign on digital signage, SMS, and the mall app. Campaign effectiveness is tracked back to MongoDB Atlas in real time.

auto-triggereddigital signagemall app
04

Gemini-Powered AI Agent

Ask anything about your mall in plain English. The agent reasons across live traffic, weather, tenant data, and incident history — then takes real multi-step actions, writing every decision back to MongoDB Atlas with a full audit trail.

Gemini 2.5multi-step reasoningfull audit trail

Capabilities

Six live capabilities, one platform

Live Traffic Monitor

Zone occupancy updated every 30 seconds, weather-adjusted in real time

AI Agent Chat

Gemini 2.5 reasons across all live data and takes real actions

Auto-Patrol System

Autonomous incident detection, creation, and resolution every 5 minutes

Campaign Engine

Auto-triggered campaigns on digital signage, SMS, and mall app

Atlas Analytics

Aggregation pipelines compute zone risk scores and incident trends live

Atlas Vector Search

Semantic similarity search finds relevant past incidents to inform responses

“Mall operations today are reactive, manual, and slow. MallMind makes them proactive, autonomous, and instant — one agent, live data, real actions.”

— MallMind · Built on Google Cloud + MongoDB Atlas

Live Demo

See the agent act in real time.

Live foot traffic. Real MongoDB Atlas data. Gemini 2.5 reasoning over it all. No demo data. No mock responses. Everything is live.