The Paradigm Shift: Marketing views a mobile app as a “Loyalty Tool.” IT must view it as Consumer Telematics. We are deploying an IoT sensor network to track customer experience in real-time.
The Integration: Zero “Shadow IT.” We can provide you an infrastructure to feed clean, structured data from your shopping app directly into your ERP + CRM platforms.
The AI Mandate: Train your AI models on data collected from the shopping experiences of your mall’s app users for future insights.
The Risk Profile: PIPEDA Compliant. Canadian Data Residency. You own the database; we simply build the pipeline.
The Bottom Line: Don’t buy “an app.” Commission a Secure Digital Asset of verified shoppers that sits on your balance sheet, not your expense report.
The “Shadow IT” Risk Profile
The Marketing team wants to buy a flashy third-party loyalty platform. The Leasing team wants to buy a traffic dashboard.
But you know what happens next:
- Data Silos: The data lives on their servers, not yours.
- Security Gaps: Who is vetting the API endpoints?
- Integration Hell: It doesn’t talk to your current tech environment.
What if the “App” wasn’t a marketing tool, but a Sanctioned IoT Endpoint?
Treat Shoppers like a Fleet.
Why is Retail still using Door Counters – the equivalent of an odometer check once a month — when it should be building out, and not to sound overly-complicated here, Consumer Telematics?
Think of it like this:
- The Sensor: Your Mall App (Verified Mobile ID).
- The Telemetry: Geolocation, Dwell Time, Zone Penetration.
- The Ingestion: Clean, structured JSON data piped directly into your environment (Snowflake, Reshift, BigQuery, etc.)
- The Governance: SOC2 Compliant, First-Party Data Sovereignty collected from shoppers using your app
We want to build your mall an app that you can use as a source of training data for AI.
You might be — but don’t need to be — the the Executive Committee Member of an AI Advisory Group… And you know the truth: AI Models are only as good as their training data. The best case scenario is this: we complement your AI models with deterministic data.
Current State:
You are feeding models with third-party, anonymized, or extrapolated data (Placer.ai). This creates hallucinations in your predictive modeling.
Future State: You feed the model with Deterministic Data.
Input (example): User ID 8842 walked from Anchor A to Inline B at 4:12 PM. The output? High-confidence predictive leasing models.
We work with REITs across Canada and the USA, but the Syndicate product is not for everybody.
If you have a fully filled list of tenants waiting for vacancy in your mall, and face no vacancy risk, then we are not for you. But if you rely on ads from Instagram, YouTube, and the radio to drive foot traffic to your mall, then you are renting your customers. It’s time to build an asset.
