Why this matters now
How to track shopper behavior in malls is on the agenda for every serious mall and retail operator in India and MENA right now. The brands and ecosystems that move on this in the next 12 months will compound; the rest will spend the next five years chasing CAC. This playbook lays out the operator-level approach Fundle has refined across 14+ enterprise deployments.
Week 1 — diagnostic
- Audit current state: track shopper behavior in malls
- Identify the 2-3 biggest gaps vs. peer benchmarks
- Map the existing toolset and data sources
- Run a stakeholder workshop with leasing / marketing / finance
- Agree on the success metric and the control group
Weeks 2-6 — deployment
- Deploy Fundle Mall / Retail Operating System on one pilot property or banner
- Stitch POS data + WhatsApp + app + footfall into one customer profile
- Activate the AI agent layer (loyalty / campaigns / retention / analytics)
- Train the team on Fundle Brain (natural-language analytics)
- Run first 3 campaigns with matched-control measurement
Months 2-6 — scale
- Roll out to additional properties or banners
- Open retail-media monetisation to tenant brands
- Move 30-50% of marketing spend to AI-orchestrated journeys
- Set up monthly board review with the AI exec summary
- Measure 90-day lift vs. baseline and the control group
What the P&L looks like after 12 months
- +₹1-2.5 Cr/year incremental retail-media revenue per property
- +22% AOV on personalised campaigns
- -35% 12-month customer churn
- +15-25% tenant sales lift in participating brands
- 30-50% reduction in marketing-ops cost via AI agent automation
Talk to Fundle
Fundle's enterprise team runs a free 60-minute diagnostic on this exact topic. We share back a 90-day pilot plan with numbers — not a slide deck. Email enterprise@fundle.ai or use the contact form.
Related resources
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