Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Process automation
Morey’s Piers · harpin AI
Vendor-reportedTravel & hospitalityIn productionClassical 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 harpin.ai (vendor self-report). Checked against the source page on 2026-09-06. 1 of 1 figures below appear on that page word for word.
The problem
Morey’s Piers struggled with disorganized and duplicate identity data, making it difficult to personalize guest services and marketing efforts.
What was deployed
- Vendor
- harpin AI
- Products
- harpin AI
- Technique
- Classical ML
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
- Data used
- tens of millions of pieces of customer data, from ride transactions and park passes to food and beverage and parking services
- Scale
- tens of millions of pieces of customer data annually
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%+ more duplicatesduplicates identifiedfrom other Salesforce duplication tools
“They identified 30%+ more duplicates than other Salesforce duplication tools.”
Quoted word for word from the source
“I think that harpin AI has super cool technology. It’s certainly got a place with us. It really solves this difficult problem with getting this data to be clean in a quick, easy way.”
Difficulties and limits
- disorganized and duplicate identity data
- data was filled with inaccuracies and duplications
- no clear home for this data flowing in
- data lake that wasn’t very organized, and very few of us actually knew how to use it
- problems persisted with a disconnect between Salesforce systems and others
- harpin AI approaches but does not immediately reach 100% identity resolution; improves gradually
Sources
- harpin.ai — vendor self-report, 2023-10-05
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