Diriyah Smart City
Command Center

A predictive city intelligence platform built for the world's most ambitious heritage destination — birthplace of the Saudi state, home to the UNESCO World Heritage Site At-Turaif, transforming under Saudi Vision 2030.

10
Demo Videos
3
Storylines
6
Strategic KPIs
14
Live Zones

Platform Architecture

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Strategic Layer

What the board cares about: 6 business KPIs tracking visitor experience, city image, safety, revenue, VIP retention, and global ranking. Every metric connects to a real driver with measurable before-and-after.

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Visitor Layer

What makes Diriyah world-class: AI transforms every touchpoint from arrival through heritage touring, dining, weather response, VIP events, to departure.

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Operations Layer

What the team uses daily: real-time command center with 14-zone monitoring, AI flow prediction, event simulation, IBM Maximo facility integration, and trilingual support (English, Chinese, Arabic).

Backed by real infrastructure — Bab Samhan Hotel · Bujairi Terrace (28 restaurants) · Salwa Palace UNESCO site · Diriyah Square (400 retail units) · Wadi Hanifah (120km valley)

AStrategic Goals

For: CEO / Mayor / Board Members / Investors
"We measure what matters — business outcomes, not technology."
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A-0: Strategic Overview & Visitor Experience

~2:24

The opening video. Introduces the Command Center's strategic dashboard with all six KPI cards, then dives into Visitor Experience — the most comprehensive KPI.

  • Bab Samhan Gate Wait Time: 25 min → 8 min via AI multi-gate distribution
  • At-Turaif Timed Entry: 200 visitors per 15-min slot protecting UNESCO heritage
  • Bujairi Terrace Dining: 45 min → 12 min wait via time-spread recommendations
  • Wadi Hanifah Heat Comfort: 3 incidents/month → 0 via proactive IoT response

Concludes with the What-If Simulator showing system performance at scale (up to 150K daily visitors).

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A-1: City Image Score

~1:54

How Diriyah climbed from B+ to A in international benchmarks. Radar chart comparing against Dubai Expo, Singapore, and NEOM.

  • UNESCO Heritage Protection: AI crowd management earned audit upgrade B → A
  • Bujairi Terrace Visibility: Media features 3 → 28 in 6 months
  • Global Media Sentiment: 62% → 78% positive across 40+ languages
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A-2: Safety Index

~1:47

96.2% safety with zero major incidents across 180 days. Monthly incident trend and breakdown.

  • Salwa Palace Crowd AI: Camera-based counting across 3 historic quarters, stampede risk monitoring at 4 narrow Najdi corridors
  • Wadi Hanifah Heat AI: 200+ IoT sensors across 120km valley, AI triggers at 39°C — response shifted from +45min reactive to -90min proactive
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A-3: Revenue Impact

~1:50

+8.3% YoY revenue growth, $7.2M additional per-capita visitor spending. Revenue breakdown by category.

  • Bujairi Terrace Turnover: 1.2x → 1.5x table turnover via AI time-spread and sunset-premium reservations
  • Diriyah Square Retail: AI-guided discovery across 400+ units, per-visitor spend up 15%

Includes the revenue What-If Simulator showing the gap between AI-assisted and unassisted operations.

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A-4: VIP Retention

~1:51

64% return rate, up from 54%. VIP conversion funnel and quarterly retention trend.

  • Bab Samhan Hotel Personalization: AI guest profiling, 23 unique Najdi suites matched to guest personality, return booking 54% → 64%
  • Private Salwa Palace Tours: 30-min private window, AR heritage overlay, private sunset from rooftop (94% satisfaction, 82% rebooking)
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A-5: Global Rank

~1:22

From #8 to #5 in global smart city benchmark. 8-dimension radar chart — Diriyah leads Heritage (95), Culture (92), and F&B (88).

Dimension ranking table with head-to-head comparisons against Dubai, Singapore, and NEOM. Ranking progress chart shows acceleration in the most recent quarter.

BVisitor Experience Journey

For: Operations Team, Customer Experience, VIP Services
"Every touchpoint in a visitor's day is transformed by AI."
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B-0: Journey Overview & Arrival

~2:27

Full day-at-Diriyah timeline — six touchpoints from 9 AM arrival to 8 PM departure. Deep dive into Arrival at Bab Samhan Gate.

  • WITHOUT: Single gate, 10,500 parking spots bottlenecked, 90% density, 25-min queue
  • WITH: Three gates activated, distributed parking, 20% density, 4-min entry
  • AI Flow: 2-hour arrival prediction → smart parking routing → multi-gate dynamic assignment

Role perspectives: Operations sees throughput; VIP Manager sees valet pre-staging; Security sees density — same moment, three dashboards.

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B-1: Heritage Tour & Dining

~2:16

Two touchpoints: Heritage Tour at At-Turaif (10:30 AM) and Dining at Bujairi Terrace (1:00 PM).

Heritage Tour: 68% density → 42% AI-balanced flow, timed entry protecting UNESCO site. Crowd sensors at fragile zones → 200/15min slot limit.

Dining: 100% full at 1 PM with 45-min waits → demand spread across 3-hour window, 8-min wait. 2-hour forecast → unified booking across 28 venues.

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B-2: Weather, VIP Evening & Departure

~2:27

Three touchpoints completing the visitor journey: Weather Emergency, VIP Evening at Opera House, Smart Departure.

  • Weather (3 PM): Zero incidents — 200 IoT sensors trigger at 39°C with 90-min protective window
  • VIP Evening (6 PM): AI guest profiling → curated Opera House program, 94% satisfaction
  • Departure (8 PM): 35-min exit → 8-min via wave scheduling and shuttle surge

CLive Operations

For: Operations Director, IT / Platform Team
"This is the daily tool — real-time, actionable, integrated."
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C-0: Live Operations Command Center

~3:08

The complete operations walkthrough — real-time monitoring, AI prediction, crowd simulation, facility management, and trilingual support.

  1. Command Center Overview — 14-zone map, live visitor count (66K+), zone ranking
  2. Flow Prediction — actual vs AI prediction, 94.2% model accuracy
  3. Crowd Surge Simulation — Bab Samhan gate surge, 5 AI response steps
  4. Facility Failure — HVAC failure affecting 8,200 visitors, Maximo auto-dispatch
  5. IBM Maximo Integration — infrastructure health dashboard, auto work orders
  6. Arabic Language Demo — full RTL layout switch
  7. Return to Strategic View — closing the loop