The CRM your centre runs on.
The AI that answers your shoppers.

Membership and tiers

A public join page takes a name, phone, email, birthday and marketing consent, then signs the shopper in by magic link. Tiers move on lifetime spend, with a tier journey screen showing how far off the next one is.

• Turns an anonymous footfall number into a contactable, consented member list your centre owns
• An existing phone signs in instead of creating a second record
• Silver, gold and platinum recompute from real spend, so a tier is never granted by hand
• Birthday and home city are captured at join, which is what the birthday and catchment campaigns run on

Scan to earn

A shopper scans the QR on a tenant receipt and the system writes the receipt, the sale, the points and a footfall visit in one transaction. Info desk staff can key one in the same way.

• Every scanned receipt attributes spend to a named tenant and a named shopper
• Double guarded, so the same receipt cannot be credited twice
• This is the moment a walk-in becomes a known member with a purchase history
• Gives leasing a spend figure per tenant without asking the tenant for one

Points engine

Ringgit spend converts to points at a rate you set, written to an append only ledger in the same transaction as the balance and the tier. Earning is idempotent per receipt.

• Every point a shopper holds traces back to a receipt, a spin, an event or a referral
• Your points liability is one auditable number that cannot drift
• Counter staff can explain a balance line by line when a shopper disputes it
• Earn rate, tier thresholds and expiry are settings, not a code change

Voucher wallet

A catalogue of vouchers that shoppers either redeem with points or receive as a promotional grant, mall funded or tenant funded. Each grant mints a unique QR and a cashier burns it exactly once.

• Points turn back into footfall inside named tenants rather than sitting as a liability
• A voucher cannot be redeemed twice, and that is enforced at the database
• You can see which store burned which voucher and settle the tenant funded ones
• Promotional grants let you drop a voucher on a segment without them spending points

e-Parking

Opens a parking session, quotes the fee, and settles it either outright or by putting points against the bill. Payment writes a footfall visit at the same time.

• Removes the autopay queue at the kiosk on a Sunday evening
• Lets shoppers spend points on the one thing every driver resents paying for
• Each exit becomes a counted visit tied to a member
• Runs on a simulated rail in demo. A live payment provider is connected at rollout

Spin and win

A weighted prize wheel drawn on the server, with the browser only animating the result. Entries are earned daily, from receipts, from campaigns or from tier, and one spin claims exactly one entry.

• A daily reason to open the app that costs nothing to staff
• Prize weight and stock are set per prize, so the budget is capped in advance
• The result is decided server side and cannot be gamed from the browser
• Points and voucher prizes settle through the same ledgers as everything else

Refer a friend

Each member gets a personal invite code. A friend who joins on it flips the referral to joined and pays the referrer in points, once.

• Member driven acquisition with a cost per new member you can actually calculate
• The reward is idempotent, so a referral cannot be claimed twice
• Referred members arrive already consented and already in a tier

What is on, and RSVP

Events you create across festive, roadshow, workshop, kids, sale, community and sports, each with capacity, RSVP and a points reward for turning up. Marking a member attended pays the points once.

• Publishes your events calendar to the members most likely to come
• Captures intent before the day, so you know whether to staff for eighty or eight hundred
• Paying points for attendance turns an atrium roadshow into attributable footfall
• An RSVP is a campaign trigger, so the reminder fires off it

Facilities finder

A register your team maintains covering surau, toilets, nursing rooms, ATMs, lockers, stroller and wheelchair loan, lifts, first aid, charging points and event halls, grouped by kind and by floor.

• Answers the most asked in-mall question without staffing a counter for it
• Kept current by your team, so a closed surau or a moved ATM is one edit
• Takes pressure off the concierge desk at peak hours

Store directory

Store listing with search and category filter across fashion, food and beverage, entertainment, beauty and health, electronics, services, family and kids, lifestyle and specialty, each with floor, unit, hours, phone and current promotions.

• Shoppers find a store and its hours without asking anyone
• Tenant promotions surface next to the store rather than on a poster
• The directory shoppers read and the tenant ranking your team reads come off the same rows, so they cannot diverge

Personal shopper

Books a styling or concierge appointment against a fixed hourly grid, carrying party size, occasion, budget band and category preferences. Staff confirm, complete, cancel or mark a no show.

• Turns a high intent shopper into a scheduled, staffed appointment
• Budget band and categories tell the stylist what to pull before the shopper arrives
• A double tap cannot create two bookings, which is enforced at the database

Mall performance and analytics

One board for footfall trend, member counts, average basket, tenant category mix, tier growth and a campaign funnel running from reach through to redeemed and attributed sales.

• Answers how many came, how much they spent and in which categories, on one screen
• Shows whether the last campaign moved either number, rather than guessing
• Category mix tells leasing which trade lines are carrying the centre
• The management report is generated, not assembled in a spreadsheet

Shopper intelligence

A nightly scorer computes churn risk, lifetime value, predicted next visit, spend affinity per category, visit cadence, a derived lifecycle stage and a next best offer. Every formula is arithmetic over your own ledger, with no model and no randomness.

• Flags the members going quiet while there is still time to bring them back
• Category affinity is what makes a fashion offer reach fashion shoppers
• Every score is explainable to you line by line, because it is arithmetic and not a black box
• It re-runs every night, so nobody maintains a list by hand

Segments and journeys

Saved audiences over those scores plus tier, recency, frequency and spend band, tagged by trade line. Journeys are multi step runners across wait, message, branch, tag and offer, with consent gating and deduplication.

• Say lapsing gold members whose spend is mostly food and beverage, and have it resolve live
• Drip a three step win back instead of one blast that gets ignored
• Consent is checked at every step, so a member who opted out is never messaged
• Deduplication stops a member getting the same nudge from two journeys at once

Campaigns and automation

Audience built sends across every connected channel in Malay, English and Chinese, with a row per recipient and open tracking. Rule based automations fire on mall triggers including first scan, category lapse, tier at risk and event RSVP.

• Payday, festive, flash sale and tier upgrade sends to a named member base
• Reach, open, redeem and attributed sales, instead of a poster in the atrium
• Trilingual out of the box, which matters for a Malaysian centre
• A first scan or a lapsing category fires the follow up with nobody watching a report

Tenant marketing

An intake, review, approve and distribute pipeline for the promotions your retailers submit. Approval materialises the promotion into the live directory, and distribution targets it at a segment.

• Replaces the tenant promo WhatsApp group with a queue that has a status
• A tenant promotion can be pointed at the segment most likely to care about it
• Approval is the gate, so nothing reaches shoppers without your marketing team seeing it
• Today your team submits on the tenant's behalf. Tenant self serve login is the next phase

Tenant performance

A sales ranking per tenant built from attributed receipts, sitting beside the same tenant record the public directory reads.

• Shows which tenants your members actually spend with, by trade line
• Gives leasing evidence to bring to a renewal conversation
• Built from scanned receipts, so read it as member attributed spend rather than tenant turnover

Privilege card and wallet

A paid premium tier carrying a boosted points multiplier, free parking hours and a partner merchant network, each card paired one to one with a stored value wallet. Tap to pay debits the wallet, credits the boosted points and records footfall in a single transaction.

• A membership product that earns revenue rather than only costing points
• Big spenders are detected inside the normal receipt flow and queued for you to invite
• Wallet balance must equal the sum of its own ledger, enforced at the database
• Float and liability are reportable. The funding rail is simulated in demo and connected live at rollout

Leasing and atrium leads

Company records, contacts and deals carried through a stage pipeline, covering brands enquiring about atrium space, roadshows, kiosks, media and leasing.

• Brand enquiries stop living in one leasing manager's inbox
• Every enquiry carries a stage, a value and an owner
• It sits beside the shopper data, so one system serves both of your audiences
• This is an enquiry and deal pipeline. It is not a lease, rent or arrears ledger

Feedback, tickets, reviews and surveys

Shopper feedback and lost property reports land in the same queue as complaints and tickets, with service level routing, priority and a reference number. Reviews get sentiment classification and a drafted reply. Surveys cover post visit, net promoter and event feedback.

• Cleanliness, parking, security and tenant complaints get logged, routed and closed with a trail
• A shopper gets a reference number instead of a shrug at the info desk
• Review replies are drafted for a person to publish, never posted automatically
• Event feedback comes back attached to the event it was about

Mall Response AI and the shared inbox

WhatsApp, SMS, email, Instagram, Messenger and TikTok land in one queue. Messages are classified and answered in Malay, English or Chinese, grounded only in the knowledge base your team maintains. Escalation rules hand anything else to a person.

• One number answers is Guardian open, where do I park and do I have points, at any hour
• It is grounded in your knowledge base only, so it cannot invent a store, an opening hour or a phone number
• Anything it cannot answer lands in a staffed queue with the whole thread attached
• Staff take over mid conversation and the shopper never sees a handover

Settings, theme studio, roles and audit

One settings record holds brand identity, the AI knowledge base, loyalty rules and the shopper app theme. A theme studio edits the app's colours against a live preview. Roles cover admin, marketing, customer service, leasing and mall manager, enforced on the server, and every write is audited.

• Your centre's name, colours and knowledge base are configuration rather than a rebuild
• Leasing cannot see what customer service can, and the server enforces that rather than the screen hiding it
• Every change carries a named actor and a timestamp
• One platform runs several centres, each with its own branding and its own data