01
Mall coalition programme
Members earn at any tenant, burn at any tenant — Fundle reconciles in real time.
Platform
Fundle.ai: A loyalty engine built for AI — not retrofitted with it.
A modern AI-powered loyalty engine for retail. Points economics, dynamic tiers, surprise-and-delight, rule-builder, gamification, and real-time liability — built for Indian malls and brands.
Section 01
The thesis
The problem
Most loyalty engines were built in the 2010s — rule trees in admin consoles, manual tier definitions, and burn rates that are only checked at quarter-end. They cannot serve 1.3 crore members, 11 micro-segments, and AI-recommended offers in real time. The result: programmes that become discount machines, points liabilities that balloon unmonitored, and members who churn before anyone notices.
The Fundle approach
Fundle's loyalty engine is the operating system underneath the AI agents. It manages every point earned, burned, expired or reversed; every tier qualification, upgrade and downgrade; every reward redemption and surprise-and-delight nudge. Built for India's scale: 1.33 crore active members, 912+ stores, ₹2,329+ crore in tracked revenue.
Section 02
The capabilities
Everything you need — native, not stitched together.
01
Points engine: earn-burn rules, multipliers, expiry, breakage, real-time liability dashboard
02
Dynamic tier ladder: silver/gold/platinum or fully custom, with auto-qualification, expiry and protection
03
Reward catalogue: branded SKUs, vouchers, charity, surprise rewards, brand-funded rewards
04
Rule builder: drag-and-drop journeys, no-code segment triggers, A/B variants
05
Gamification: spin-to-win, scratch cards, streaks, badges, leaderboards
06
Coalition support: multi-tenant points for malls; cross-brand burn for retail groups
07
Real-time wallet APIs: balance, history, redemption — POS, app and web
08
Fraud controls: duplicate-bill detection, employee-misuse alerts, anomaly scoring
In production
Use cases
What it looks like when this runs in production.
02
Tier-based fashion brand
Auto-upgrade on cumulative spend, with downgrade protection during slow seasons.
03
Frequency-driven QSR
Visit-count streaks unlock free items every 5th visit — AI picks the item per member.
·+40% repeat rate
·-35% churn
·30-45% earn-burn ratio (healthy)
·4-6 week go-live
“8-12x ROI on loyalty isn't a marketing claim — it's the average we see on customers who run Fundle for three consecutive quarters. The math is the moat.”
Vineet NarangCo-founder, Fundle · LinkedIn
Questions
Most asked
The questions enterprise loyalty teams ask first.
Is Fundle's loyalty engine a SaaS or on-prem?
SaaS-first, multi-tenant cloud, with VPC-isolated and private-cloud deployments for enterprise customers. Enterprise-grade security with DPDP-compliant data handling.
How quickly can we go live?
4-6 weeks for a single-brand programme; 6-10 weeks for a coalition mall programme. POS connectors and WhatsApp templates are pre-built.
Does it support coalition loyalty across brands?
Yes. Multi-tenant points pools, cross-brand burn, settlement reports for the operator, and brand-level analytics for each tenant.
How is points liability tracked?
Real-time dashboard of outstanding points, projected burn, breakage rate, and financial liability — exportable to your finance system.
Continue exploring
Next step
Ready to see Fundle in action?
A 30-minute working session with a Fundle loyalty strategist and a solutions engineer — tailored to your brand or mall.