Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Artificial intelligence, professionally covered
Process automation
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 lumana.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.
Inefficient video security software, lack of productivity tracking, and time-consuming manual processes for tracking thousands of garments through various production stages.
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.
“<1 min to locate footage”
Quoted word for word from the source
“100% visibility into production”
Quoted word for word from the source
“The capabilities of the platform to secure our premises 24/7 have surpassed expectations.”
Quoted word for word from the source
“The camera-agnostic architecture and user-friendly interface allowed for seamless integration with All-County Apparel's existing cameras, minimizing downtime and the need for extensive training.”
Quoted word for word from the source
“Our overall experience with Lumana has been outstanding. The capabilities of the platform to secure our premises 24/7 have surpassed expectations. But its impact on operational efficiency and quality control has far exceeded anything we could have imagined.”
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Independently reportedManufacturing · Process automation · Classical ML · Scaled
under 10 minutes — Time for root cause analysis
Independently reportedManufacturing · Process automation · AI agents · In production
88% — autonomous IT resolution rate
Independently reportedTechnology & software · Process automation · NLP · Scaled
10% more — shopper spend
Independently reportedRetail & e-commerce · Process automation · Computer vision · Scaled · 2024
increased by 15% — accuracy
Independently reportedInsurance · Process automation · Classical ML · Scaled · 2019