Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Process automation
PeakMade Real Estate · Hyly.AI
Vendor-reportedConstruction & real estateUnited StatesScaledEnterpriseClassical ML
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by hyly.ai (vendor self-report). Checked against the source page on 2026-09-06. 3 of 3 figures below appear on that page word for word.
The problem
Marketing data existed across agencies, PMS, and ad platforms, but none of it connected, leading to fragmented reporting and inability to determine which channels drove leases.
What was deployed
- Vendor
- Hyly.AI
- Products
- Performance AI + Halo, Intelligence Fabric
- Technique
- Classical ML
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
- Data used
- marketing, leasing, and performance data across agencies, PMS, and ad platforms
- Scale
- 340+ properties and 30,000+ units across the United States
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
30-40% liftTour to Application Conversion
“30-40% Tour → Application Lift”
Quoted word for word from the source · round percentage, no baseline given
20-35% decreaseCost per Lead/Lease
“20-35% Decrease in Cost per Lead/Lease”
Quoted word for word from the source
5 to 10 hours saved per person each weekTime saved on reportingeach week
“5 to 10 hours saved per person each week”
Quoted word for word from the source
ROI as stated: measurable ROI
“We saw the attribution data telling us where there were drop-offs, specifically with strong lead and tour activity but lower application conversion. That visibility changed how we evaluate partners and allocate our spend.”
Difficulties and limits
- Fragmented reports across agencies and property systems
- Manual Excel reconciliation consuming hours every week
- Recommendations built on partial, unvalidated data
- Growing ownership expectations for more visibility, accountability, and data-backed decisions
Sources
- hyly.ai — vendor self-report, 2026-04-13
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