Not another mall management system — PhyloAI is an enterprise intelligence platform. It connects tenant POS, lease records, footfall, parking, energy, campaigns and weather into a living knowledge graph — delivering tenant health scores, lease risk alerts and executive briefings before windows close.
Tenant sales, footfall, facilities management and finance live in separate systems. PhyloAI unifies them into continuous intelligence — answering questions mall leadership asks daily but no single system can answer.
POS data lives in tenant systems. Footfall counters live elsewhere. Conversion gaps invisible until quarterly reviews.
HVAC, parking and energy data reviewed manually — maintenance incidents happen before predictive signals reach leasing teams.
Marketing spend, lease escalations and zone revenue aren't connected — campaign ROI and lease leverage missed entirely.
Most connectors are custom-built. PhyloAI maps your mall ontology first, then connects the sensors that feed it.
Real-time and daily sales data per tenant — benchmarked against zone averages and historical trends.
Expiry dates, escalation clauses, renewal windows and market rate comparisons surfaced proactively.
Zone-level traffic, dwell time and conversion rates correlated to tenant sales performance.
Equipment health, maintenance SLAs, parking utilisation and peak patterns integrated into operations.
PhyloAI builds a mall-specific ontology connecting every entity in your operation: Mall → Tenant → Store → POS → Lease → Visitor → Campaign → Parking → Energy → Weather. Rules, thresholds and ownership encoded once — intelligence flows continuously.
Property, zones, occupancy targets
Category, POS feed, lease terms
Footfall, conversion, ROI
Utilisation, HVAC, weather impact
Renew, renegotiate, replace, escalate
PhyloAI doesn't just report history. It continuously reasons about tenant risk, operational intervention, capacity and campaign impact.
Tenant health score from POS trend, footfall conversion and lease proximity
HVAC alerts, parking bottlenecks and zone underperformance with assigned owners
Footfall prediction correlated with events, weather and historical patterns
Weather-adjusted traffic forecasts per zone with tenant sales impact
Campaign intelligence linking spend to footfall conversion and POS uplift
Ask what happens if you renew at current terms — or replace with a higher-performing category tenant. Scenarios grounded in live POS and footfall data, not static spreadsheets.
Projected revenue continues 24% below zone average. Lease locked for another term with underperforming tenant.
Improves mall yield 8–12%. Maintains occupancy while capturing renegotiation leverage before 18-day window closes.
Projected tenant replacement ROI +18% vs current. 3 enquiries in pipeline. Short vacancy offset by higher category fit.
Tenant, footfall and lease signals monitored continuously
Ontology explains why signals matter
Scenarios model renewal and replacement ROI
Leasing actions assigned to owners
Lease outcomes refine future rules
Weather and event-adjusted traffic forecasts per zone — with tenant sales impact modelling and capacity planning alerts.
See forecast view →Proactive tenant risk scores combining POS trend, footfall conversion, lease expiry and replacement pipeline readiness.
See risk dashboard →IoT and BMS signals predict equipment failures before incidents — prioritising FM resources and SLA compliance.
See IoT panel →Composite score per tenant from sales vs zone avg, conversion rate, lease terms and category fit — updated daily.
See health scores →Link marketing spend to footfall conversion and tenant POS uplift — understanding which campaigns actually drive revenue.
See campaign ROI →Daily mall intelligence summaries with priority alerts, zone performance and recommended leasing actions for leadership.
See briefing format →Every lease outcome feeds back into your mall ontology — opportunity scores and leasing rules get sharper with each renewal cycle.
Leasing manager initiates renewal conversation based on opportunity score and underperformance signals. Action logged in PhyloAI.
Did renegotiation succeed? Was tenant replaced? Did zone revenue improve? Outcome data captured automatically.
Opportunity score weights, lease thresholds and footfall correlation rules updated based on what actually predicted successful outcomes vs. false positives.
Each lease cycle makes the system more accurate for your specific mall portfolio, tenant mix and leasing strategy.
Tell us about your mall portfolio. We'll map your ontology and show exactly which signals PhyloAI would monitor.