EGoal V3's AI engine monitors every data stream from every connected tenant — 24 hours a day, 7 days a week — against a dynamic model of what normal looks like for that tenant, that category, that time of year, and that footfall level. The moment something deviates from expected behaviour — a sudden sales drop, an unusual spike, a pattern inconsistent with footfall — the system flags it, classifies it, and alerts the right team member instantly.
EGoal V3 builds dynamic forecast models for each property, each category, and each tenant — using historical transaction data, footfall patterns, seasonal factors, and external signals including local events, public holidays, and macroeconomic indicators. The result is a 90-day forward view of expected revenue and footfall that gives your commercial team the confidence to make decisions about staffing, marketing, leasing, and capital allocation — before the data arrives, not after.
EGoal V3's reporting AI drafts management summaries, board reports, trading updates, and operational briefings automatically — pulling live data, identifying the key trends and anomalies of the period, and presenting them in structured, readable prose ready for review and distribution. Your finance and operations teams stop producing reports and start reviewing them — saving days of work every month and eliminating the risk of human error in high-stakes documents.
Every leasing decision your team makes — renewal, relocation, new placement, rent renegotiation — is now informed by an AI model that has analysed every tenant's performance trajectory, footfall contribution, category benchmarks, and lease economics simultaneously. EGoal V3 surfaces a recommendation, explains the reasoning behind it, and presents the data that supports it. Your leasing team makes the final call. The AI ensures they make it with complete information.
EGoal V3's AI engine monitors every data stream from every connected tenant — 24 hours a day, 7 days a week — against a dynamic model of what normal looks like for that tenant, that category, that time of year, and that footfall level. The moment something deviates from expected behaviour — a sudden sales drop, an unusual spike, a pattern inconsistent with footfall — the system flags it, classifies it, and alerts the right team member instantly.
EGoal V3 builds dynamic forecast models for each property, each category, and each tenant — using historical transaction data, footfall patterns, seasonal factors, and external signals including local events, public holidays, and macroeconomic indicators. The result is a 90-day forward view of expected revenue and footfall that gives your commercial team the confidence to make decisions about staffing, marketing, leasing, and capital allocation — before the data arrives, not after.
EGoal V3's reporting AI drafts management summaries, board reports, trading updates, and operational briefings automatically — pulling live data, identifying the key trends and anomalies of the period, and presenting them in structured, readable prose ready for review and distribution. Your finance and operations teams stop producing reports and start reviewing them — saving days of work every month and eliminating the risk of human error in high-stakes documents.
Every leasing decision your team makes — renewal, relocation, new placement, rent renegotiation — is now informed by an AI model that has analysed every tenant's performance trajectory, footfall contribution, category benchmarks, and lease economics simultaneously. EGoal V3 surfaces a recommendation, explains the reasoning behind it, and presents the data that supports it. Your leasing team makes the final call. The AI ensures they make it with complete information.
ML models identify unusual sales patterns across every tenant in real time — flagging deviations before they become disputes or losses.
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AI cross-references POS data with footfall volumes and category benchmarks to identify potential sales under-reporting with statistical confidence.
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Dynamic property and tenant-level revenue forecasts updated continuously as new transaction and footfall data flows in.
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AI-generated performance scores for every tenant — combining sales trajectory, footfall conversion, occupancy cost ratio, and category benchmark data.
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Board summaries, trading updates, and operational briefings drafted automatically from live data and ready for review on your schedule.
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AI-powered renewal recommendations, relocation suggestions, and new placement analysis — surfacing the full data context for every leasing decision.
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Proactive, context-aware notifications for compliance risks, revenue opportunities, operational anomalies, and lease milestones — delivered to the right person at the right time.
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Ask your property data questions in plain English. "Which tenants are underperforming relative to their footfall this month?" The AI answers instantly.
EGoal's AI models are trained exclusively on retail property transaction data — not general business data or generic time-series models. Every pattern, benchmark, and anomaly threshold is calibrated to how multi-tenant retail properties actually behave.
Every AI recommendation comes with an explanation. EGoal V3 never gives your team a black-box output — every alert, forecast, and recommendation shows the data and reasoning behind it. Your team stays in control.
AI training uses anonymised, aggregated data across the EGoal network. No individual property's data is used to train models that serve competitor properties. Data sovereignty and privacy compliance are non-negotiable.
EGoal's AI models improve continuously as more transaction data flows through the platform. Every new property, every new transaction, and every validated anomaly makes the system more accurate — for every customer.
Apply for EGoal V3 Early Access and be among the first properties to run on AI-powered retail intelligence — with priority onboarding, direct product input, and founding customer benefits.
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