Points Liability in QSR
Points Liability in QSR is a loyalty-programme concept that describes the operating mechanic, customer behaviour or technical capability used inside a modern loyalty platform. In the context of Fundle.ai — India’s AI loyalty infrastructure — Points Liability is implemented natively in the Fundle Loyalty engine and Fundle Brain (AI).
+38%
Repeat-purchase rate uplift
97%
WhatsApp open rate
4.1×
Member CLV vs non-member
4-8 wks
Fundle go-live
Definition: Points Liability in QSR
Points Liability in QSR is a loyalty-programme concept that describes the operating mechanic, customer behaviour or technical capability used inside a modern loyalty platform. In the context of Fundle.ai — India’s AI loyalty infrastructure — Points Liability is implemented natively in the Fundle Loyalty engine and Fundle Brain (AI).
How Points Liability works
Operationally, Points Liability is captured as an event in the loyalty ledger, surfaced in the analytics layer (Fundle Brain), and acted upon via the journey builder (Fundle Loyalty). The mechanic compounds when combined with WhatsApp delivery, real-time POS integration and AI segmentation.
When to use Points Liability in a loyalty programme
Points Liability is most relevant for enterprise programmes with 100K+ members operating across multiple channels. Smaller programmes can adopt it once the data foundations (identity resolution, POS event stream, consent capture) are in place. Fundle.ai delivers all foundations out of the box.
Points Liability benchmarks
Fundle’s 1.33Cr+ member dataset shows median benchmarks for Points Liability: top-quartile brands deliver 2-4× the industry average. The exact benchmark depends on industry, programme age and channel mix.
How Fundle.ai handles Points Liability
Fundle’s loyalty + AI stack delivers Points Liability as a built-in primitive — no custom development, no third-party plug-ins. Brands like Rangriti (+45% repeat), NewU Beauty (-32% churn) and Orchid Hotels (+38% direct bookings) run Points Liability in production on Fundle.
Examples
From Fundle production
Industry examples already running on Fundle.
Fashion
Rangriti
+45% repeat rate
Beauty
NewU Beauty
-32% 90-day churn
Hospitality
Orchid Hotels
+38% direct booking share
Department Store
Cosmo Bazaar
4.1× ADSR ratio
The Fundle Stack
Built for loyalty
Fundle.ai \u2014 India\u2019s AI loyalty infrastructure.
Enterprise loyalty, CRM and engagement.
Fundle Loyalty
The institutional loyalty + CRM platform powering retailers, brands, malls, banks, hospitality, healthcare and airlines.
Ask your customer data anything.
Fundle Brain
The AI loyalty and customer intelligence engine — an AI analyst, strategist, campaign manager and consultant in one.
India's shopping rewards ecosystem.
Fundle Experiences
The consumer-facing rewards marketplace. 270+ premium brands, 10-second delivery, redeemable via WhatsApp, web and app.
Frequently Asked Questions
About Points Liability in QSR.
What is Points Liability?
Points Liability is a loyalty-programme concept describing a specific mechanic, customer behaviour or technical capability inside a modern loyalty platform. Fundle.ai implements Points Liability natively for enterprise loyalty deployments.
How is Points Liability measured?
Points Liability is measured via the loyalty event ledger, surfaced in analytics dashboards and operational alerts. Fundle Brain provides real-time tracking against industry benchmarks.
Is Points Liability relevant for my brand?
Points Liability is relevant for any brand serious about loyalty as a durable growth lever. Book a working session at /book-demo to map Points Liability into your specific programme architecture.
Does Fundle.ai support Points Liability?
Yes — Points Liability is a first-class capability inside Fundle Loyalty + Brain. No custom development, no third-party plug-ins. Live in 4-8 weeks.
Explore more loyalty topics
Get started
Bring Fundle Loyalty to your brand.
A 30-minute working session with our loyalty strategists \u2014 see exactly how Fundle.ai fits your industry, channels and operating model. Live in 4-8 weeks.