Behavioral signals 01 / 25
Mobile Phone Data
Aggregated, anonymized human mobility data - population movements, behavior, and movement patterns. The foundation for understanding how people actually move through a city.
The intelligence behind the biggest moves.
Real decisions. Real capital. Real consequences.
Markets move faster than instinct can track. We turn behavioural, demographic, and physical-world signals into a clear read on market dynamics - and AI that predicts the next move - so decision-makers understand the ground before they commit. Senior strategists and engineers build that into a solution that stays with your team.
850K+
POIs - Human-verified
8+ yrs
Historical depth - Mobility · spend · POI
<1m
Geofence accuracy - Sub-block resolution
24hr
Data refresh - Daily pipelines
99.9 %
Pipeline uptime - Trailing 90d
500+ cities
Street-level data - Across 17 markets
Section · 01 · Selected clients
Trusted by the finest companies shaping the world.
PIF
$925B AUM
Engagement
PIF
$925B AUM
Abu Dhabi Executive Office
Strategic Initiatives
Engagement
Abu Dhabi Executive Office
Strategic Initiatives
Alshaya Group
85+ brands
Engagement
Alshaya Group
85+ brands
Olayan
Diversified holding
Engagement
Olayan
Diversified holding
ROSHN GROUP
PIF master developer
Engagement
ROSHN GROUP
PIF master developer
ASFAR
PIF tourism arm
Engagement
ASFAR
PIF tourism arm
Ministry of HR & Social Development
Vision 2030
Engagement
Ministry of HR & Social Development
Vision 2030
Aldar Properties
Abu Dhabi developer
Engagement
Aldar Properties
Abu Dhabi developer
Al-Futtaim Real Estate
Conglomerate
Engagement
Al-Futtaim Real Estate
Conglomerate
Colliers
62+ countries
Engagement
Colliers
62+ countries
Cenomi
Real Estate Developer & Retail Group
Engagement
Cenomi
Real Estate Developer & Retail Group
Apparel Group
2,300+ stores
Engagement
Apparel Group
2,300+ stores
H&M
4,200+ stores
Engagement
H&M
4,200+ stores
Primark
450+ stores
Engagement
Primark
450+ stores
Ulta Beauty
1,400+ stores
Engagement
Ulta Beauty
1,400+ stores
Bath & Body Works
1,800+ stores
Engagement
Bath & Body Works
1,800+ stores
Makhazen Alenayah
Care stores
Engagement
Makhazen Alenayah
Care stores
Popeyes
4,000+ outlets
Engagement
Popeyes
4,000+ outlets
Domino's
20,000+ stores
Engagement
Domino's
20,000+ stores
Burger King
19,000+ outlets
Engagement
Burger King
19,000+ outlets
Chipotle
3,500+ outlets
Engagement
Chipotle
3,500+ outlets
Shake Shack
550+ outlets
Engagement
Shake Shack
550+ outlets
Raising Cane's
800+ outlets
Engagement
Raising Cane's
800+ outlets
Starbucks
38,000+ stores
Engagement
Starbucks
38,000+ stores
Tim Hortons
5,500+ stores
Engagement
Tim Hortons
5,500+ stores
Shawarmer
Saudi QSR chain
Engagement
Shawarmer
Saudi QSR chain
Sushi Art
MENA sushi chain
Engagement
Sushi Art
MENA sushi chain
Eathos
Restaurant group
Engagement
Eathos
Restaurant group
Alamar Foods
QSR operator
Engagement
Alamar Foods
QSR operator
CloudKitchens
Dark kitchen network
Engagement
CloudKitchens
Dark kitchen network
JA Resorts & Hotels
Dubai-based group
Engagement
JA Resorts & Hotels
Dubai-based group
Gulf Paradise
Abu Dhabi based
Engagement
Gulf Paradise
Abu Dhabi based
Blossom Nursery
Nursery network
Engagement
Blossom Nursery
Nursery network
Honda
Global manufacturer
Engagement
Honda
Global manufacturer
Systematica
Urban planning
Engagement
Systematica
Urban planning
& Other Stories
H&M Group brand
Engagement
& Other Stories
H&M Group brand
COS
H&M Group brand
Engagement
COS
H&M Group brand
American Eagle
1,100+ stores
Engagement
American Eagle
1,100+ stores
Aerie
AEO sub-brand
Engagement
Aerie
AEO sub-brand
Next
500+ stores
Engagement
Next
500+ stores
Claire's
2,400+ stores
Engagement
Claire's
2,400+ stores
Foot Locker
2,500+ stores
Engagement
Foot Locker
2,500+ stores
New Balance
Footwear & apparel
Engagement
New Balance
Footwear & apparel
ALO Yoga
Premium activewear
Engagement
ALO Yoga
Premium activewear
MUJI
1,000+ stores
Engagement
MUJI
1,000+ stores
Mothercare
Multi-market retail
Engagement
Mothercare
Multi-market retail
Boots
Pharmacy chain
Engagement
Boots
Pharmacy chain
MAC Cosmetics
1,500+ outlets
Engagement
MAC Cosmetics
1,500+ outlets
Charlotte Tilbury
Makeup & skincare
Engagement
Charlotte Tilbury
Makeup & skincare
NYX Professional Makeup
L'Oréal brand
Engagement
NYX Professional Makeup
L'Oréal brand
The Body Shop
3,000+ stores
Engagement
The Body Shop
3,000+ stores
Jo Malone
Estée Lauder brand
Engagement
Jo Malone
Estée Lauder brand
Le Labo
Estée Lauder brand
Engagement
Le Labo
Estée Lauder brand
Vranjes Firenze
Italian luxury
Engagement
Vranjes Firenze
Italian luxury
Victoria's Secret
1,300+ stores
Engagement
Victoria's Secret
1,300+ stores
Victoria's Secret Beauty
VS sub-brand
Engagement
Victoria's Secret Beauty
VS sub-brand
Victoria's Secret PINK
VS sub-brand
Engagement
Victoria's Secret PINK
VS sub-brand
VaVaVoom
Lingerie retail
Engagement
VaVaVoom
Lingerie retail
P.F. Chang's
Asian-inspired
Engagement
P.F. Chang's
Asian-inspired
Texas Roadhouse
700+ outlets
Engagement
Texas Roadhouse
700+ outlets
The Cheesecake Factory
300+ outlets
Engagement
The Cheesecake Factory
300+ outlets
PizzaExpress
600+ outlets
Engagement
PizzaExpress
600+ outlets
Le Pain Quotidien
Bakery-café chain
Engagement
Le Pain Quotidien
Bakery-café chain
Pinkberry
Frozen yogurt
Engagement
Pinkberry
Frozen yogurt
Ace & Tate
80+ stores
Engagement
Ace & Tate
80+ stores
NDAs cover the rest.
See the case studies → Section · 02 · How it works
Move from data to a decision.
Step 01 / 05
→
01 · Ingest
What is happening on the ground?
Live data lake
02 · Locate
Who lives, works, and moves through this place?
Street-level read
03 · Forecast
What does this look like in 1, 3, 5 years?
Forecasts + CI
04 · Explain
Why is this place winning or lagging?
Ranked drivers
05 · Decide
Where do we invest, divest, build?
Board-ready plan
Section · 03 · Platform
Five modules. One platform.
Atlas+ is a location and city intelligence platform. Click through each module to see what it does.
Stores
342
+ 18 YTD
Cities
47
17 markets
Trade area
8.4M
reachable pop
Avg footfall
21.3K
+4.2% MoM
Yr-1 forecast
$4.2M
± 6.8% MAPE
Cannibalization
11%
on 3 stores
Maturity
18mo
to steady-state
Confidence
96%
high
Malls indexed
1,240
GCC + Turkey
Avg footfall
18.2K
/day
Cross-visit
37%
share with peer
Peak dwell
82min
weekend
Competitors
412
indexed
Trade overlap
23%
avg
White space
47
opportunities
Footfall est.
all 412
competitors
Pipeline
$48M
committed
Opportunities
127
ranked
Reports
1-click
full study
Markets
17
live
Store Info
Single-store deep dive - ratings, customer experience, and visit density at a glance.
Trade Areas
Real-life trade and delivery areas mapped against competitors and high-activity zones.
Visitor Times
Dwell time, visit frequency, and busiest windows for every store, every day-part.
Footfall Activity
Hourly traffic patterns alongside social sentiment and demographics across the network.
Sales Performance
Year-on-year revenue tracking with monthly averages and growth trends.
Pin-Drop Forecasting
Drop a pin anywhere - instant AI forecast with confidence intervals.
Scenarios
What-if: change size, format, brand. Compare side-by-side.
Cannibalization
See impact on your existing stores before you sign.
Custom Models
Tailor revenue drivers to your business logic.
Maturity Curves
Model the ramp from open day to steady-state.
Organized Retail Mapping
Every mall and shopping center, attributes and tenants.
Footfall Density
Compare and rank locations by traffic volume.
Floorplan Digitization
Digital floorplans, tenant mix, footfall by zone.
Cross-Visitation
Which other malls your visitors also visit, and how often.
Visitor Behavior
Dwell time, frequency, peak hours, journey patterns.
Competitive Landscape
Every competitor mapped with estimated footfall and overlap.
Trade Area Mapping
Define and analyze trade areas with real mobility data.
Competitor Demographics
Who visits competitors, how often, and their profile.
Delivery Catchments
Map zones and the population within each.
Custom Extraction
Draw any polygon - extract every available data layer.
Portfolio Visibility
Full brand portfolio across markets with performance metrics.
Concept Strategy
Plan which brands go where - match opportunity to positioning.
Opportunity Ranking
Prioritize expansion by forecast revenue and market potential.
Investment Tracking
Pipeline to opening - every committed dollar tracked.
Real Estate Reports
Forecasts, demographics, competitors, delivery zones - one report.
Section · 04 · Data foundation
Our Big Data Lake.
A comprehensive repository of diverse big data sources - the substrate beneath every PerigonAI model, forecast, and recommendation.
25Datasets
5Domains
17Markets
Section · 05 · What we offer
Three ways to work with us.
From self-service platform access to senior-led engagements and custom engineering - pick the operating mode that fits the decision in front of you.
01 · Platform
PerigonAI Atlas+
Where retail strategy meets AI & Big Data. Our flagship geospatial-AI platform unifies asset performance, AI sales forecasting, Strategy, project and program management, lease, mall & market intelligence, and workflow management into a single point of truth.
- Integrated modules, more shipping soon
- AI pin-drop sales forecasting with scenarios & cannibalization
- Real-mobility trade & delivery areas, footfall & cross-visitation
- Custom polygon & data extraction
Explore the platform →
02 · Consultancy
AI-Powered Consultancy
Management & strategy consulting across retail, real estate, hospitality, urban planning, smart city, transit oriented development, tourism, government and more: feasibility & real-estate studies, market entry, brand & asset strategy, M&A diligence and much more - delivered by senior partners.
- Senior-partner led, no junior hand-offs
- Every assumption traceable to source
- Field-triangulated with on-site delivery & capability building
- Live workspace your team keeps
Talk to a partner →
03 · Engineering
Data Science & AI
Custom data-science, ML, and workflow engineering. Production models, ETL pipelines, decision systems - embedded with your team or built end-to-end.
- Geospatial ML & forecasting
- ETL & data engineering
- LLM workflow systems
- MLOps & deployment
Talk to our engineering team →
Section · 06 · Impact
How big data moved real markets.
Engagements across 30+ industries - spanning government and sovereign wealth, real estate and shopping centers, retail (fashion, beauty, footwear, eyewear, lifestyle), the full F&B spectrum (QSR, fast casual, coffee, casual dining, ghost kitchens), plus hospitality, healthcare retail, automotive, mobility infrastructure, and education.
29
Case studies
30+
Industries
1000+
Total deliverables
54T
Location events
Featured engagements
Marquee work, by the numbers.
01 / 09
Tourism strategy - Vision 2030
Destination prioritization
How a KSA tourism investment company used big data to identify destination opportunities
Read the engagement The full library
All 29 case studies
Filter by sector, click any tile for the full situation, approach, and impact.
01
Tourism
Tourism strategy - Vision 2030
Destination prioritization
How a KSA tourism investment company used big data to identify destination opportunities
● KSA Read →
02
Tourism
Formula 1 impact - Singapore & GCC
Circuit visitation · F1 week
How a partnership with PerigonAI revealed Formula 1's true impact in the GCC
● GCC & Asia Read →
03
Hospitality
Hospitality market entry
Hospitality strategy
How a real-estate developer used AI to uncover the hospitality market's opportunities
● KSA Read →
04
Public Sector
Fewer offices, better public service
Offices · efficiency gain
How Big Data enabled KSA to enhance public service efficiency in line with Vision 2030
● KSA Read →
05
Hospitality
Hotel acquisition due diligence
Acquisition diligence
How an investment firm used big data to inform acquisition decisions in KSA cities
● KSA Read →
06
Hospitality
Decoding event-driven demand
Event-driven revenue
How AI-driven analytics of events identified seasonality and revenue for hospitality assets
● KSA Read →
07
Infrastructure
How Paris built 43km of extra bike lanes
Bike lanes · Paris
How Paris's Municipality used Big Data for micromobility infrastructure
● France Read →
08
Retail
150+ new stores, 90%+ forecast accuracy
Stores · 90% accuracy
How PerigonAI's platform streamlined operations for a Fortune 500 company
● Global Read →
09
Real Estate
20+ cities, billions of data points
Multibillion 2030 strategy
How an AI-powered model enabled a multibillion-dollar real-estate company's 2030 strategy
● KSA Read →
10
F&B
Market share insights - Share of Wallet & Visitation
KSA · UAE · Kuwait
How advanced modeling revealed brand performance and market drivers across coffee in GCC
● GCC Read →
11
Retail
Middle East's hottest new brand market entry strategy
Franchise win
How AI-driven insights guided a new department store launch strategy
● UAE Read →
12
Healthcare
From fast food to the hospital
Lifestyle correlations
How data uncovered the relationship between fast-food habits and hospital visits in KSA
● KSA Read →
13
Sport
Building wellness into the master plan
Active community design
How a global real-estate developer found innovative ways to improve community wellbeing
● Global Read →
14
Hospitality
Pinpointing high-value source markets
Source-market segmentation
How credit-card data unlocked high-spend source markets for a multibillion hospitality giant
● UAE Read →
15
F&B
Retail Cannibalization Modeling
Network expansion
How AI flagged cannibalization risks for a global F&B brand's store strategy
● Global Read →
16
Real Estate
Monitoring affluence shifts
Community profiling
How population and spend trends revealed affluence shifts in a residential community
● Global Read →
17
Entertainment
Event analytics
Operator performance
How event analytics drove performance for a regional entertainment operator in UAE
● UAE Read →
18
Real Estate
Marketing where buyers actually are
Marketing optimization
How AI decoded mobility patterns to sharpen real-estate marketing for a new community
● Global Read →
19
Infrastructure
The hidden drivers of Abu Dhabi's traffic
Abu Dhabi corridors
How PerigonAI uncovered traffic drivers and planned interventions for the UAE government
● UAE Read →
20
Retail
What footfall doesn't tell a mall
Competitive position
How AI & Big Data benchmarked a major Mall's competitive position across UAE retail
● UAE Read →
21
Real Estate
Competitor monitoring by satellite
Construction monitoring
How a developer quantified and monitored community construction progress with AI & geospatial
● Global Read →
22
Real Estate
Computer vision technology to detect vacant plots
Land polygons · Jeddah
How AI satellite imagery quantified vacant land plots to optimize a Jeddah land bank
● KSA Read →
23
Hospitality
Sizing Riyadh's hospitality market, end to end
Location events analyzed
How PerigonAI guided a real-estate developer's entry into hospitality
● KSA Read →
24
Real Estate
Cross visitation analytics
Cross-visitation matrix
How home-location and cross-visitation analysis benchmarked a major retail destination against competitor malls
● KSA Read →
25
Real Estate
Letting population habits shape the master plan
Resident lifestyle analysis
How resident lifestyle and habits analysis guided community planning for the Client
● KSA Read →
26
Real Estate
Qatari visitation & stay patterns
Strategy reframed
How Qatari residents' stay patterns in KSA can inform a development strategy
● KSA Read →
27
Finance
Alternative data → equity signals
Predictive investment intelligence
How alternative big data & AI uncovered predictive equity signals for a global investment manager
● KSA Read →
28
Retail
AI-driven site selection for UK rollout
Eyewear · UK expansion
How AI-driven site selection guided a global eyewear retailer's UK store strategy
● UK Read →
29
Real Estate
Sizing community retail in Riyadh
Master-planned retail strategy
How AI-driven analytics shaped the community retail strategy for a master-planned development in Riyadh
● KSA Read →
No cases in this sector yet
Tourism strategy - Vision 2030
Destination prioritization
How a KSA tourism investment company used big data to identify destination opportunities
Situation
A national tourism investment entity in KSA needed to fast-track a destination roadmap. Decision-making was hindered by limited data on secondary and tertiary cities.
Approach
- Integrated geospatial, mobility, spend, and POI data to map visitation patterns
- Built cross-city benchmarks using occupancy, ADR, footfall density, accessibility
- Built a decision framework to prioritize destinations and recommend activations
Impact
- Revealed high visitation to POIs lacking infrastructure - immediate investment opportunities
- Reallocation of resources toward high-impact, underdeveloped assets
- Scalable prioritization tool for the client's investment planning
Formula 1 impact - Singapore & GCC
Circuit visitation · F1 week
How a partnership with PerigonAI revealed Formula 1's true impact in the GCC
Situation
Client needed to assess F1's real impact on tourism, retail, and hospitality. Rising regional competition for entertainment footfall demanded data-driven measurement of cross-asset uplift.
Approach
- Combined mobile, credit-card, tourism data for visitor volumes and spend
- Assessed hotel occupancy, F&B activity, venue-specific footfall
- Benchmarked event week vs baseline to attribute uplift across sectors
Impact
- 159% spike in circuit visitation; 10% rise in overall spend during F1 week
- 84% of attendees stayed off-site - flagged hospitality investment opportunity
- Hard metrics for infrastructure, marketing, and event programming
Hospitality market entry
Hospitality strategy
How a real-estate developer used AI to uncover the hospitality market's opportunities
Situation
A major developer entering KSA hospitality lacked visibility on saturation, guest profiles, and whitespace. Uncertainties on business model, sites, and seasonality.
Approach
- Mobile, hotel, and spend data to forecast demand, map trade areas, segment visitors
- Modeled hotel concepts against projected occupancy, ADR, RevPAR
- Benchmarked supply/demand to find viable entry with minimal cannibalization
Impact
- Business case identifying preferred locations and optimal hotel formats
- Scenario-based forecasts to guide phased market entry
- Reduced uncertainty, accelerated leadership decision-making
Fewer offices, better public service
Offices · efficiency gain
How Big Data enabled KSA to enhance public service efficiency in line with Vision 2030
Situation
A KSA Ministry sought to reduce public-facing offices with minimal disruption, in line with Vision 2030. Sensitive citizen data and complex multi-million-scenario optimization required novel on-site AI.
Approach
- Built a digital model of the office network and current performance
- Combined PerigonAI big data with proprietary client data to assess accessibility
- Mathematical optimization model to simulate millions of closure scenarios
Impact
- 15% reduction in offices for a more accessible, efficient delivery system
- Cut costs while improving citizen satisfaction
- Guided staff redistribution with minimal disruption
Hotel acquisition due diligence
Acquisition diligence
How an investment firm used big data to inform acquisition decisions in KSA cities
Situation
A firm evaluating hospitality assets in secondary KSA cities lacked visitation and asset-level data. PerigonAI was brought in for a data-driven framework.
Approach
- Integrated geolocation, spend, and tourism data to map visitation flows
- Benchmarked occupancy, ADR, RevPAR vs peer markets
- Modeled support from infrastructure, events, Vision 2030 tourism growth
Impact
- Found lower-than-expected occupancy at the target hotel - backed the no-go
- Prevented investment in an underperforming asset
- Baseline to screen future opportunities in similar emerging markets
Decoding event-driven demand
Event-driven revenue
How AI-driven analytics of events identified seasonality and revenue for hospitality assets
Situation
A leading developer/investor wanted to understand how event-driven visitation affects hospitality seasonality and revenue, to make informed decisions on portfolio strategy.
Approach
- AI analytics on event visitation to map seasonal demand patterns
- Hotel and spend data to quantify revenue fluctuations
- Identified peak/off-peak periods and top-spending source markets
Impact
- Quantified revenue impact of event-driven demand for pricing and staffing
- Actionable insights on peak seasons and top source markets
- Tailored offerings to maximize revenue and guest experience
How Paris built 43km of extra bike lanes
Bike lanes · Paris
How Paris's Municipality used Big Data for micromobility infrastructure
Situation
A global auto manufacturer partnered with Paris's municipality to understand daily micromobility usage near metro stations and to evaluate where to invest.
Approach
- Cell-phone and major micromobility-app data to map demand near metros
- Identified user preferences (commuting vs leisure) by route and station
- Assessed infrastructure gaps and prioritized investment
Impact
- 43km of new bike lanes added across Paris
- Data-driven decisions in micromobility for private and public clients
- Scalable methodology for urban mobility investment
150+ new stores, 90%+ forecast accuracy
Stores · 90% accuracy
How PerigonAI's platform streamlined operations for a Fortune 500 company
Situation
A Fortune 500 retailer needed an AI-powered geospatial asset-management platform - market intelligence, competitor tracking, automated workflows, a centralized real-estate repository, and accurate sales forecasting.
Approach
- Identified pain points and designed AI-powered solutions
- Built infrastructure and a centralized data repository
- Developed AI models for market analysis, forecasting, asset management
- Training and ongoing strategic advisory
Impact
- 150+ new stores opened with 90%+ forecast accuracy by country
- Closed regional partnership with a leading fast-fashion retailer
- Investment guided into new underserved markets
20+ cities, billions of data points
Multibillion 2030 strategy
How an AI-powered model enabled a multibillion-dollar real-estate company's 2030 strategy
Situation
A multibillion developer building its 2030 strategy across KSA needed deep market intelligence - daily footfall, attractiveness, mobility, demand drivers - to identify optimal plots.
Approach
- Analyzed billions of data points across 20+ KSA cities - satellite, mobility, credit-card
- Built an AI model on supply/demand, affluence, visitation, transport
- Forecast market opportunities and metro-corridor mobility
Impact
- Deep understanding of city-wide mobility and metro-corridor demand
- Forecast new metro impact on urban transportation
- Foundation for successful acquisition of optimal plots
Market share insights - Share of Wallet & Visitation
KSA · UAE · Kuwait
How advanced modeling revealed brand performance and market drivers across coffee in GCC
Situation
Client needed a clear view of coffee market-share trends and brand performance before/after a market disruption across KSA, UAE, Kuwait - and shifting competitor dynamics.
Approach
- Validated detailed competitor lists per country
- Proprietary methodology to analyze market share distribution
- Advanced modeling for local-vs-international and category insights
Impact
- Insights on market-share evolution under regulatory and competitive shifts
- Quantitative recommendations on category drivers
- Cross-market view enabling regional strategy
Middle East's hottest new brand market entry strategy
Franchise win
How AI-driven insights guided a new department store launch strategy
Situation
Client needed in-depth understanding of UAE malls to develop the market-entry strategy for a new department store and win the franchise as host brand - under tight timeframe.
Approach
- Built a Mall Trade Area Analysis model to shortlist optimal malls
- Analyzed visitor demographics, source markets, travel time, competition
- Identified the optimal mall set
Impact
- Actionable insights on mall performance to inform market entry
- Clear data-driven recommendations on optimal selection
- Won the franchise to establish three new stores in the region
From fast food to the hospital
Lifestyle correlations
How data uncovered the relationship between fast-food habits and hospital visits in KSA
Situation
A healthcare client wanted to assess potential links between QSR visitation and hospital visits across Riyadh, to identify populations more likely to visit hospitals due to lifestyle.
Approach
- Mobility data to segment visitors by QSR visitation frequency
- Compared hospital visitation patterns between frequent and non-frequent QSR visitors
- Advanced analytics controlling for confounders
Impact
- Distinct correlations between fast-food frequency and hospital visits across Riyadh
- Actionable insights to inform targeted health interventions
- Population outreach strategies grounded in real behaviors
Building wellness into the master plan
Active community design
How a global real-estate developer found innovative ways to improve community wellbeing
Situation
A global developer wanted to enhance community wellbeing by optimizing public spaces and amenities - practical, data-driven improvements promoting healthier, more active lifestyles.
Approach
- Comprehensive community profile mapping resident behaviors
- Identified popular biking and running routes and overlaps
- Pinpointed areas lacking paths, lighting, amenities
Impact
- Recommendations to improve biking/running infrastructure in underserved areas
- Plan for new pathways and amenities aligned with resident needs
- Differentiated projects through resident-wellbeing focus
Pinpointing high-value source markets
Source-market segmentation
How credit-card data unlocked high-spend source markets for a multibillion hospitality giant
Situation
A multibillion hospitality company needed to identify and target the most valuable source markets driving high spend across UAE assets, for marketing and investment decisions.
Approach
- Anonymized credit-card transaction data across hotels and assets
- Segmented visitors by origin, spend, visitation trends
- Combined with mobility and community analytics
Impact
- Clear insights on top high-spend source markets for targeted marketing
- Informed resource allocation, promotion, future investments
- Measurable growth in high-value segments
Retail Cannibalization Modeling
Network expansion
How AI flagged cannibalization risks for a global F&B brand's store strategy
Situation
Client planned to expand its store network but faced uncertainty around cannibalization between new and existing locations. Goal: grow without hurting established stores.
Approach
- AI-powered analytics on customer journeys, footfall, spend
- Modeled scenarios to find trade-area overlap and quantify cannibalization
- Optimized site selection and network configuration
Impact
- Flagged high-risk locations and protected revenue at established stores
- Evidence-based decisions on expansion and placement
- Sustainable growth while maximizing network performance
Monitoring affluence shifts
Community profiling
How population and spend trends revealed affluence shifts in a residential community
Situation
Client wanted to understand how demographic changes and resident spending were impacting the affluence profile of a newly developed community.
Approach
- Demographic and migration data to track population shifts
- Anonymized spend across retail, dining, lifestyle
- Compared trends over time and benchmarked against similar communities
Impact
- Clear shifts in community affluence and evolving resident profiles
- Targeted enhancements to services, amenities, marketing
- Data-driven investment decisions
Event analytics
Operator performance
How event analytics drove performance for a regional entertainment operator in UAE
Situation
A leading regional entertainment operator wanted to understand visitor behaviors and spending across major events, to increase engagement and attract high-value source markets.
Approach
- Visitor profiles, travel commitment, origin markets, accommodation, advance bookings
- Mapped spend across accommodation and venues to find demand drivers
- Segmented international and domestic markets
Impact
- Data-driven decisions on event programming and hospitality partnerships
- High-value visitor segments and optimal campaign timing
- Strategically positioned the destination for major events
Marketing where buyers actually are
Marketing optimization
How AI decoded mobility patterns to sharpen real-estate marketing for a new community
Situation
A developer needed deeper insights into potential buyer mobility patterns to optimize marketing for a newly established residential community - and identify the most relevant segments.
Approach
- AI analytics decoding visitor mobility - top origins and key POIs for geo-targeting
- Peak hours, commuting, lifestyle preferences for timing and messaging
- Customer-segment customization
Impact
- Precise insights for targeted real-estate marketing, boosting effectiveness
- Lead generation focused on high-potential customer segments
- Stronger community positioning, improved sales
The hidden drivers of Abu Dhabi's traffic
Abu Dhabi corridors
How PerigonAI uncovered traffic drivers and planned interventions for the UAE government
Situation
A government client sought to understand why congestion was intensifying along two major Abu Dhabi corridors. Despite ongoing infrastructure investment, peak-hour delays kept rising.
Approach
- YoY traffic flow and speed dynamics across E30 and E22
- Origin-destination and bridge-utilization to uncover commuter behaviors
- Modeled immediate and long-term solutions with big data + AI
Impact
- Identified contributors to congestion (e.g. cross-commuting to AD Main Island)
- Actionable insights to design long-term congestion-management
- Scalable diagnostic to guide AD's mobility resilience
What footfall doesn't tell a mall
Competitive position
How AI & Big Data benchmarked a major Mall's competitive position across UAE retail
Situation
A leading UAE mall operator sought to understand how its flagship asset compared to other major malls regionally - beyond basic footfall, into deeper behavioral and spatial dynamics.
Approach
- Mapped primary, secondary, tertiary trade areas via visitor home hexagons
- Analyzed visitation, cross-visitation, market penetration, competitive positioning
- Distinguished commuter- vs residential-driven visitation
Impact
- Identified underserved catchments and high-growth districts
- Clear data-backed view of mall's competitive standing
- Informed repositioning and tenant-mix strategies
Competitor monitoring by satellite
Construction monitoring
How a developer quantified and monitored community construction progress with AI & geospatial
Situation
A developer needed to quantify construction progress across large-scale residential communities. Traditional methods were manual, inconsistent, delayed.
Approach
- Hierarchical project sectioning to measure at building and community levels
- AI + geospatial analytics to detect site prep, excavation, walls, rooftops, landscaping, completion
Impact
- Transparent, real-time view at unit, block, and community scales
- Prioritize resources, balance workloads, identify delays
- Improved stakeholder confidence with verifiable progress tracking
Computer vision technology to detect vacant plots
Land polygons · Jeddah
How AI satellite imagery quantified vacant land plots to optimize a Jeddah land bank
Situation
A developer required a comprehensive view of vacant land in Jeddah to optimize land-bank strategy. Existing datasets were fragmented, outdated, unreliable across 1.5M+ sqm.
Approach
- 24k+ satellite images through PerigonAI's computer vision
- Detected building footprints, vacant plots, parcel boundaries - ~29k polygons
- Classified built vs vacant, cross-checked vs official Land Bank
- Scenario modeling across parcel sizes
Impact
- Transparent, city-wide view of vacant parcels
- Data-backed basis for land-bank optimization replacing outdated datasets
- Confident leadership decisions on investment and acquisition
Sizing Riyadh's hospitality market, end to end
Location events analyzed
How PerigonAI guided a real-estate developer's entry into hospitality
Situation
A developer needed a comprehensive study of Riyadh hospitality demand and supply. Existing research was fragmented and high-level, missing asset-level details.
Approach
- Evaluated 16k accommodation units - 480+ hotels and 15k+ short-term rentals
- Captured 54B location events and 180k reviews
- Modeled macro demand and micro asset-level factors
Impact
- Objective, data-backed evidence guiding hospitality strategy
- Clear picture of supply, demand, performance drivers
- Leadership confidence to shape investments
Cross visitation analytics
Cross-visitation matrix
How home-location and cross-visitation analysis benchmarked a major retail destination against competitor malls
Situation
A developer needed a competitor benchmarking study of a major retail destination. Existing benchmarks lacked insight into visitor origins and overlaps.
Approach
- Categorized competitor malls into Lifestyle, Regional, Super-Regional
- Visitor home locations across distance brackets per destination
- Cross-visitation matrix for overlap and competitive dynamics
Impact
- Clear trade-area definition vs competitors
- Revealed overlap and differentiation in visitor bases
- Data-backed foundation for retail and leasing strategy
Letting population habits shape the master plan
Resident lifestyle analysis
How resident lifestyle and habits analysis guided community planning for the Client
Situation
The Client needed a comprehensive study of residents' lifestyle and habits to enhance community experience. Rapid population growth required understanding of evolving behaviors.
Approach
- Big data on visitations across thousands of POIs
- Categorized into work, retail, sport, healthcare and sub-activities
- Benchmarked preferred destinations and providers
Impact
- Clear picture of resident needs across lifestyle, retail, healthcare
- Framework integrating wellness, education, entertainment in planning
- Confident community design and offerings
Qatari visitation & stay patterns
Strategy reframed
How Qatari residents' stay patterns in KSA can inform a development strategy
Situation
A developer asked for a study on Qatari visitation and migration into KSA. Understanding behavior was critical to the development strategy.
Approach
- Mobility analysis across key Saudi cities, Subject city benchmarked vs other cities
- Stay durations, travel patterns, multi-city flows - transit vs long visits
- Accommodation and POI assessment to map demand drivers
Impact
- Insight: Qatari demand not strong enough as a core audience
- Recommendation to focus on domestic demand pools
- Strategic pivot grounded in real visitation data
Alternative data → equity signals
Predictive investment intelligence
How alternative big data & AI uncovered predictive equity signals for a global investment manager
Situation
A global investment management firm sought to enhance equity intelligence using alternative data beyond traditional financial reporting. The client needed a novel framework to build indices and trackers for publicly listed companies in emerging markets, translating granular consumer, mobility, and spend signals into investment insights.
Approach
- Curated alternative big data sources covering credit-card spend, app installs, footfall traffic, and delivery zones in KSA
- Applied PerigonAI cross-correlation algorithms between alternative data signals and listed company stock prices
- Built a model on a publicly listed food-delivery operator covering spend, retention, footfall, and restaurant share
Impact
- Demonstrated that alternative signals like spend share measurably lead stock-price movements
- Delivered a novel investment-intelligence framework leveraging geospatial and big data to evaluate equity opportunities
- Established a scalable methodology extendable to additional listed companies, sectors, and emerging markets
AI-driven site selection for UK rollout
Eyewear · UK expansion
How AI-driven site selection guided a global eyewear retailer's UK store strategy
Situation
A global eyewear retailer was planning new store openings across UK markets and required a data-driven framework to select optimal locations. Existing site decisions relied on intuition and limited foot-traffic data, leaving uncertainty around catchment performance and revenue potential.
Approach
- Mobility, demographic, and spend data to map customer catchments and demand signals across candidate UK locations
- Scored each site on footfall, dwell time, demographic fit, and retail co-tenancy against the brand's target customer profile
- Benchmarked candidates against existing high-performing stores to identify lookalike trade areas with strong revenue potential
Impact
- Delivered a prioritized shortlist of UK locations matched to the retailer's target customer and positioning
- Enabled commitment to new openings with quantified confidence in catchment performance
- Repeatable site-selection methodology extendable to future European market expansion
Sizing community retail in Riyadh
Master-planned retail strategy
How AI-driven analytics shaped the community retail strategy for a master-planned development in Riyadh
Situation
A real-estate developer leading one of KSA's flagship master-planned communities required a data-driven framework to plan retail offerings as the community matured. Challenges spanned sizing retail capacity, defining category mix, and locating outlets to serve a rapidly growing resident base.
Approach
- Mobility, spend, and visitation data to map resident behavior, demand patterns, and current spend leakage to off-community retail
- Modeled trade-area dynamics, walkability, and category-level demand to size and locate retail nodes within the community
- Benchmarked against analogous KSA communities to identify high-conversion retail formats and tenant mixes
Impact
- Quantified residual demand leaking outside the community, revealing the addressable on-community retail opportunity
- Evidence-based store-format and location-suitability recommendations to guide leasing and capital allocation
- Repeatable framework now extensible to the developer's other master-planned communities
Section · 07 · Where we work
We operate where you do.
Focused on 17 countries - from the Gulf to the Bosphorus to the South China Sea. Don't see your market? Let's talk →
UAEKSAKuwaitQatarTurkeyOmanUKSingaporeMalaysiaIndonesiaThailandCambodiaVietnamPhilippinesAustraliaNew ZealandJapan
Section · 08 · Leadership
Meet our leadership team.
The leadership team behind PerigonAI - strategy, science, platform, engineering. The team you get on the call, not the team behind them.
Ricardo Bergsma LL. M.
CEO & Co-founder
20+ years across real estate and consultancy, spanning Europe, the Middle East and Asia. Former Director at a leading global consultancy, with deep real estate and retail experience.
Abhishek Vij MSc, MBA
CTO & Co-founder
15+ years building highly scalable and responsive Data and AI platforms across apparel, food & beverage retail, healthcare, e-commerce and automotive.
Gevorg Yeghikyan PhD
CSO & Co-founder
8+ years across urban planning, mobility, retail, real estate and smart cities. Former postdoctoral researcher at the Italian National Research Council (CNR).
Pedro Santos MSc
COO & Co-founder
16+ years in real estate and retail, with a strong proven track record in consulting, strategy and client relationship management.
Bhavish Hak B.Tech
Head of Engineering
10+ years architecting and scaling production software platforms across enterprise and high-growth startups.
Section · 09 · Team
The wider crew.
A connected network of engineers, scientists, and operators delivering Atlas+ programs around the clock - spanning three continents, one signal.
Network · 13 nodes · 27 edges · live
Mane Mikayelyan
Data Science Manager
Abhishek Gogoi
Software Engineer
Aditya Tiwari
Senior Data Scientist
Arnab Anand
Data Scientist
Hiyas Bayani
Senior Manager, Operations
Hrach Khlghatyan
Senior Data Scientist
Kamil Patel
Software Engineer
Mani Pratap
Senior Software Engineer
Narine Ayvazyan
Senior Product Manager
Raf Mnatsakanyan
Data & Analytics Manager
Samvel Balyan
Data Quality Manager
Sargis Hovsepyan
Data Scientist
Shreyas Nair
Software Engineer
Section · 10 · Get started
Your markets, through our lens.
Show us where you operate, where you're headed, or the problem you're trying to solve and we'll show you what we see. The conversation starts there.
Thanks - we'll be in touch.
We've received your request and a member of our leadership team will reach out soon. If it's urgent, please email info@perigonai.com.