01
Mid-size fashion chain
+45% repeat rate, -32% churn, 3.4× campaign ROI in 6 months.
Solutions
Fundle.ai: Your customer shops at three of your stores. Your three stores think she's three people.
Unified customer profile and AI loyalty for multi-store brands. Identify shoppers across stores, run precision campaigns, prove ROI per campaign.
Section 01
The thesis
The problem
Retail brands operate 50-500+ stores with siloed POS, fragmented customer records, and campaigns measured in opens-and-clicks. Real customer LTV stays hidden because the same shopper looks like three different people.
The Fundle approach
Fundle unifies every store's POS into one customer 360 view, runs AI-driven loyalty + precision campaigns across channels, and proves incremental revenue per campaign via automatic control groups.
Section 02
The capabilities
Everything you need — native, not stitched together.
01
Unified POS ingestion across stores
02
Identity resolution: phone, email, payment-token
03
AI segmentation + 11+ micro-cohorts
04
WhatsApp-first omnichannel
05
Incrementality measurement per campaign
In production
Use cases
What it looks like when this runs in production.
·+45% repeat rate
·3.4× campaign ROI
·4-6 week go-live
“First-party data isn't a sticker on your homepage. It's a daily discipline — capture, reconcile, model, activate. Fundle is the discipline, productised.”
Vineet NarangCo-founder, Fundle · LinkedIn
Questions
Most asked
The questions enterprise loyalty teams ask first.
Will it work with our existing POS?
Pre-built connectors for Pine Labs, Ezetap, Mosambee, Innoviti, Ginesys, LS Retail, GOFRUGAL, Wondersoft, Logic ERP, Queuebuster, Z-Order, InnKey PMS. New POS adapters in 2-3 weeks.
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.