SUZY Mall

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SUZY Mall — Indonesia Retail RWA & Web2.5 Adoption Hub

Turning Indonesia’s retail foot traffic and shopper participation into verifiable, on-chain economic activity — building the foundation of a shared-value retail ecosystem.

Quick Facts

• Status: Pilot / Ecosystem Expansion
• Sector: Retail (RWA + Participation Economy)
• Region: Indonesia
• Use Case: Shopper participation, retail engagement, on-chain proof of activity
• Stack: TT Chain (OP Stack L2), Behavior-to-Chain Oracle, Retail Data Proof

Overview

Indonesia is one of the fastest-growing retail and mall economies in Southeast Asia, driven by a young population, high mall engagement culture, and rapid e-commerce adoption. Yet, retail participation remains mostly untracked, unverified, and unrewarded.

SUZY Mall introduces a new retail model powered by TT Chain — where shopper participation becomes verifiable on-chain activity, and users are rewarded for the engagement they create.

Instead of the traditional Web2 mall model — where malls spend marketing budget with no transparent proof of results — SUZY Mall creates a Behavior-to-Chain system, converting visits, event participation, and campaign engagement into on-chain proof, enabling transparent settlement and real user ownership in the participation economy.

The Retail Problem (Indonesia Reality)

Problem

Impact

Shoppers receive little value for their engagement

No loyalty, no emotional connection

Mall campaigns lack transparent results

Merchants cannot verify ROI

Engagement data is siloed or unverifiable

No basis for future financing or performance rewards

Web2 incentives have no long-term value

Users participate once, then disappear

TT Chain’s Retail RWA Solution

SUZY Mall uses TT Chain to create a Retail RWA + Behavior Proof Layer, enabling:

Layer

Purpose

Behavior-to-Chain Proof

Verifies shopper actions (scan, attend, participate, vote, enter zone)

RWA Retail Foundation

Campaign results and merchant performance can become future RWA data sources

Web2.5 Onboarding Gateway

Brings Indonesia mall-goers into Web3 without friction

Commerce Data Oracle (DePIN-like)

Converts offline events into on-chain records for transparency

Outcome: Real action → On-chain proof → Transparent settlement → Shared value

How It Works

1. Shopper Participates
2. Visit a zone, join a campaign, scan a code, attend an event, or vote.
3. Participation Verified
4. Device checkpoints, QR points, or event systems verify the action.
5. Behavior Logged On-Chain
6. TT Chain records a proof-of-participation event.
7. Reward or Settlement Issued
8. Shoppers receive rights, rewards, or participation credentials.
9. Merchant & Operator Insights
10. Engagement results become transparent, measurable, and trusted.

What Goes On-Chain

• Participation event proofs (visit, vote, attend, redeem, play, scan)
• Campaign settlement logs
• Engagement metrics for merchants (without exposing personal identity)
• Future RWA merchant financing criteria (performance = creditworthiness)

This structure enables future retail RWA, built on verifiable participation data instead of assumptions.

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