If you’re running a mall in 2025, AI is no longer a “future tech” — it’s already shaping how the best-run properties operate day-to-day.

Across India, the Middle East, and Southeast Asia, we’re seeing a new wave of mall operators who are using AI to streamline finance, reduce overheads, and improve tenant relationships. Not through hype. Through very real, very practical systems.

Here’s what they’re actually doing 👇🏼

1. AI for Revenue Tracking & Lease Enforcement

Most malls today have a mix of lease agreements: fixed rent, revenue share, minimum guarantees, and every hybrid in between.

In the past, finance teams had to chase retailers for revenue reports, verify manually, and then calculate invoices. Now?

Operators are using GPT-powered bots to:

•Pull daily PoS data from tenants

•Cross-reference lease terms

•Auto-generate invoices and share them via email or ERP.

No follow-ups. No Excel nightmares.

Just clean, automated enforcement of lease terms.

2. AI Assistants for Finance Teams

Finance executives are now using internal LLM copilots trained on contracts, lease agreements, historical invoices, and policy documents.

These assistants help them:

•Figure out “What happens if a tenant breaks lease in month 7 of a 12-month agreement?”

•Draft payment reminder emails in different tones

•Summarize disputes across multiple email threads

The result: smaller, faster, sharper finance teams — who need fewer people to get more done.

3. Smart Tenant Support

Retailers inside malls have their own set of queries:

•“How are my CAM charges calculated this month?”

•“Can I see my utility consumption for the past quarter?”

•“Is there a promotional campaign planned next weekend?”

Instead of routing these to facility managers or leasing teams, some operators have deployed LLM-powered support assistants inside their tenant apps or portals.

Retailers get instant answers. Your team doesn’t drown in tickets.

4. Predictive Collections

One of the most underrated applications of AI today — predicting who’s not going to pay on time.

Based on:

•Past payment behaviour

•Revenue trends pulled from PoS

•Tenor of recent email/chat interactions

LLMs + light modeling help collections teams prioritize whom to chase — and whom to escalate.

It’s not flashy, but it’s wildly effective.

5. Auto-Generated Management Reports

Let’s be honest — no one wants to write weekly or monthly ops reports.

Now, LLMs are doing that too.

Operators are feeding sales data, occupancy data, footfall trends, and incident logs into AI — and getting back:

•Auto-drafted reports for investors and landlords

•CXO dashboards with key highlights + action items

•Performance summaries for anchor vs smaller tenants

You still review before sending, of course. But the 80% writing job? Gone.

6. AI-Powered Campaign Creatives

Marketing teams in malls are using AI to generate:

•Event copy for Diwali, Christmas, and End of Season Sale

•WhatsApp creatives for store launches

•Caption ideas for Instagram posts based on previous best performers

Again, the teams still drive the strategy. But the writing + image suggestions? AI handles that in seconds.

So where’s this going?

Malls are becoming operating systems.

And AI is the system admin.

The smartest mall operators aren’t trying to “look tech savvy.”

They’re using AI to get paid faster, reduce manpower costs, and run cleaner ops.

If you’re still managing leasing + collections on spreadsheets — now is the time to rethink your stack.