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Esas Gayrimenkul wins 4 MENA awards, what can AI really add to shopping mall management?

AuthorAdapte Dijital Published10 October 2026 Reading Time7–11 dk
Esas Gayrimenkul wins 4 MENA awards, what can AI really add to shopping mall management?
💡 Kısaca: Esas Gayrimenkul, whose corporate site uses the English name Esas Properties, came home from the MECSR MENA Awards 2026 with four awards, two gold and two silver, and both silvers went to platforms built with London-based Akerio AI (Perakende.org, 9 October 20

Esas Gayrimenkul, whose corporate site uses the English name Esas Properties, came home from the MECSR MENA Awards 2026 with four awards, two gold and two silver, and both silvers went to platforms built with London-based Akerio AI (Perakende.org, 9 October 2026). Those platforms are Visitify, for visitor analytics, and Setric, for AI-based mall and retail management.

If you run a store inside a shopping mall, the award itself is not the story. The story is what these systems do. A platform that reads footfall and retail data shapes mall decisions on rent, campaigns and tenant mix, and each of those decisions reaches your till.

In short: Mall investors are wiring management to data. With no measured results published, a tenant’s best move is building numbers of their own to set against the mall’s.
WHICH

Which projects won Esas Gayrimenkul its awards at the MECSR MENA Awards 2026?

Four projects won. The golds went to the “2025 Sustainability Report Design” and the “Sosyal Değer @Work” (Social Value @Work) programme; the silvers went to Visitify and Setric, both in the Service Excellence: AI & Digital Integration category. The report calls Esas the only company from Türkiye to win with four projects, a company statement that no MECSR list confirms.

HOW

How do mall AI platforms like Visitify and Setric work, step by step?

The news gives no technical detail, so this flow is conceptual. Systems in this class collect data, join it up, find patterns and hand management a short list of questions. Visitor analytics is the entry point; the management platform connects that data to rent, campaign and tenant decisions.

Conceptual flow of a mall AI platform moving from data collection to joining, analysis, recommendation and measurement
Conceptual flow: data travels to a decision in five steps.
The news gives no technical detail, so this flow is conceptual.
WHAT

What can AI in mall management add to a tenant’s rent and sales decisions?

It can add three things: a shared data base for rent talks, a clearer window for campaign timing, and early warning on gaps in the tenant mix. None of it is automatic: until the mall’s data meets your own till figures, the picture stays one-sided.

It can add three things: a shared data base for rent talks, a clearer window for campaign timing, and early warning on gaps in the tenant mix.
WHO

Who gains and who struggles when malls adopt AI analytics?

Mall investors and management gain most, since the data sits in their systems. Chain stores have an edge because they can check it against their own analytics. A single-store local tenant struggles if it cannot see the data at all. Mall media sellers and suppliers feel it indirectly.

Table comparing how mall AI analytics affects investors, chain stores, local tenants and suppliers
The same data plays out differently at four tables.
Mall investors and management gain most, since the data sits in their systems.
HOW

How does a mall store’s digital data meet the mall’s AI platform?

Your store’s digital traces, such as Google Business Profile views, direction requests, website stock queries and ad clicks, complete the mall’s footfall data. Side by side, they show why a customer came to the mall and why they walked into your store.

Your store’s digital traces, such as Google Business Profile views, direction requests, website stock queries and ad clicks, complete the mall’s footfall data.
WHAT

What should a mall tenant business owner do this week?

Three things fit into this week: start your own customer count, ask mall management in writing which analytics it uses, and align your digital listings with your in-mall location. None needs a big budget. They put real numbers in your hands before the next rent talk.

List of steps a mall tenant can take this week: own count, written request and digital alignment
Three no-budget steps and a one-week log.
Three things fit into this week: start your own customer count, ask mall management in writing which analytics it uses, and align your digital listings with your in-mall location.
QUICK

Quick Summary

  • Esas Gayrimenkul won 2 gold and 2 silver awards at the MECSR MENA Awards 2026 (Perakende.org, 9 October 2026).
  • The silver awards went to Visitify and Setric, platforms built with London-based Akerio AI.
  • The news gives no measured results for the platforms and does not name the malls using them.
  • The AYD-Akademetre mall turnover index rose 22.9% nominally in August 2026 and shrank 6.5% in real terms (Foreks).
  • A tenant’s first step is a count of their own that can be set against the mall’s data.
SHORT

Short Glossary

GLA
GLA (gross leasable area) is the square-metre measure used to express the total area a mall can rent out.
Visitor analytics
Visitor analytics is the data method used to measure how many people enter a venue, how they move and how long they stay.
Tenant mix
Tenant mix is the management concept used to plan the spread of stores and categories in a mall.
FREQUENTLY

Frequently Asked Questions

NEXT

Next Step

If you want to connect your mall store’s data to rent and campaign decisions, fill in the consult your expert form, and we will work out together where to start with the data you already have.

Sources: Perakende.org, 9 October 2026 · Esas Properties, Türkiye real estate page · Foreks, AYD-Akademetre mall index, August 2026 · Ekonomi Gazetesi, mall rent deferral requests

Updated: October 2026

Retail Desk · Malls & Stores · AI-assisted desk · Reviewed by: Gürbüz Özdem

Sık Sorulan Sorular

Which categories did the gold awards come from?

The sustainability report design won gold in Sustainability Excellence: Reporting & Governance. Sosyal Değer @Work won gold in Sustainability Excellence: Community & Social Impact. Half the haul is about reporting and social impact, not technology.

What stands out on the AI side?

Setric is described as an AI-based platform for commercial real estate and retail management. At Retail Congress MENA 2026, a session titled “AI in Retail: Levelling Up the Operation” covered how Setric approaches mall investors and their retail partners. Esas Gayrimenkul CEO Cem Eriç says the company is putting “digital transformation with AI and sustainability at the centre of our business model.”

What does the news leave out?

The report gives no ceremony date or city, no session speakers, and no word on which malls run these platforms or what they deliver. Nor does it say whether Akerio AI is a partner, investor or supplier. So we attach no result figures to either platform. We read the rest of the Turkish retail agenda the same way on our retail page.

What data does the first layer collect?

Typical visitor analytics inputs are door counts, corridor density, flow by hour and dwell time. The news does not say which sensors or sources Visitify uses. So “which data, collected how” is a fair question for any tenant to ask.

What does the management platform connect that data to?

A Setric-type layer lays footfall next to tenant turnover, the lease calendar and the campaign plan. A corridor with slipping sales per square metre, or a floor empty during a campaign, becomes visible. A person still makes the decision; the platform points at the question.

Does the same logic work elsewhere?

We use a similar principle. AINEO Motor places calculation engines inside business articles: the reader enters a value, and the engine turns it into a single decision output. The scale differs, but the logic matches: scattered data in, one readable decision question out.

Who holds the data at the rent table?

Look at what sits on the rent table in Turkish shopping malls (AVM is the Turkish term for a mall). According to Nuri Şapkacı, chair of AYD, Türkiye’s shopping centre and retailers association, some brands are asking for one to two months of grace or deferral on rent. Whoever holds the footfall data holds the bargaining power, and a tenant without a count of their own has little to push back with.

Why does sales pressure make the data more valuable?

The AYD-Akademetre mall turnover index rose 22.9% year on year in nominal terms in August 2026 but shrank 6.5% in real terms, the third month in a row of real contraction. In that setting you need to read footfall and conversion rate together to tell “are customers coming in” apart from “are they buying”.

How does the campaign decision change?

Hourly and daily flow data shows when the mall’s joint campaigns land, so a tenant can plan shifts and discounts around them. Otherwise campaign day finds the store half-staffed and customers walk back out. For a look at how a seasonal story turns into a shelf, see K-Land’s winter skincare picks.

Where could Esas’s portfolio show this effect?

The Esas Properties Türkiye real estate page lists malls outside Istanbul, such as 01 Burda in Adana, 10 Burda in Balıkesir, 41 Burda in Kocaeli and 67 Burda in Zonguldak. The same page says the company runs 14 malls and more than 600,000 m² of GLA under third-party management. The news does not say where the platforms run, but their reach could extend beyond Istanbul.

Why do chain stores have the edge?

A chain usually has its own door counter, POS reports and average basket tracking, so it can cross-check mall data against its own.

What does a single-store tenant put at risk?

A boutique or cafe with no count of its own has to accept the mall’s report as it is. If that report justifies a corridor change, a new competitor or a rent rise, there is no figure to answer with. Stock sits on the shelf, and nobody shows why.

Why should local search visibility be measured?

A store missing from “mall name + category” searches loses part of the traffic that reaches the mall. Keep the mall location, floor and hours consistent on your business profile.

How are ad data and campaign data matched?

Put your location-targeted ad dates and the mall’s campaign days on one calendar to see which days actually brought extra customers.

Is there a legal limit on visitor data?

Yes. Any data that can identify a visitor may fall under personal data protection rules. Before you accept a data-sharing offer from the mall, ask whether the data is anonymous. Verify with the official source; this is not legal or financial advice.

How do you start your own count?

Put a simple counter at the door, or count by hand hourly, and log receipts and average basket in the same sheet. After a week you will see the gap between visitors and receipts. Your conversion rate becomes your number, not the mall’s.

What should you ask mall management?

Ask in writing which analytics tool is used, whether data is shared by floor and corridor, and when the campaign calendar is announced. For a tenant scraping to the end of the month, that paper trail can later back an objection.

What comes first on the digital side?

Update the mall name, floor and hours on your business profile and website store page. We build the systems that bring this data and the mall’s footfall into one dashboard as part of our AI and advertising consultancy. For the store-level side of a similar mall decision, read about D&R’s openings in Mersin and Florentia Village.

Does mall management have to share visitor data with tenants?

That depends on your lease and the mall’s policy. If there is no sharing clause, you can request the data in writing and raise the topic when the lease is renewed.

Will Visitify or Setric increase my store’s sales?

The news gives no measured results for these platforms. They are tools for mall management; their effect on your store depends on how much of the data is opened to you and how you use it.

Should a small store invest in AI analytics?

Start with a simple count and till data. A month of records shows which questions need AI and which a spreadsheet answers.

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