Shriram Finance
less than 3–4 hours — Onboarding Turn-Around-Time (TAT)
Independently reportedBanking & finance · Process automation · Classical ML · In production
Process automation
Reta Engenharia · ALICE Technologies
Vendor-reportedConstruction & real estateBrazilIn productionEnterpriseOther
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 blog.alicetechnologies.com (vendor self-report). Checked against the source page on 2026-09-06. 5 of 5 figures below appear on that page word for word.
The problem
Traditional scheduling tools could not efficiently test multiple construction scenarios at scale or account for complex interdependencies, making it difficult to optimize the master plan while adhering to labor constraints and critical milestones.
What was deployed
- Vendor
- ALICE Technologies
- Products
- ALICE
- Technique
- Other
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
- Data used
- project schedule/logic data, labor and equipment resource constraints, site accommodation capacity limits
- Scale
- One of Brazil's largest nickel/cobalt mining complexes: ~13 million m3 of earthworks, 110,000 m3 of reinforced concrete, 23,000 tons of electromechanical erection, direct labor capped at 3,200 workers.
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.
labor idle time
“10% less labor idle time”
Quoted word for word from the source · round percentage, no baseline given
equipment idle time
“33% less equipment idle time”
Quoted word for word from the source
peak resource utilization
“24% lower peak resource utilization”
Quoted word for word from the source
time to analyze and generate scenarios
“The team analyzed and generated scenarios 50% faster”
Quoted word for word from the source · round percentage, no baseline given
time spent on resource leveling
“reduced time spent on resource leveling by 44%”
Quoted word for word from the source
No impactimpact on commissioning or production milestones
“No impact on commissioning or production milestones”
Quoted word for word from the source
“At Reta Engenharia, innovation is more than a value. It is part of our DNA. High-complexity projects require not only experience but new ways of thinking and acting. Partnering with ALICE allowed us to combine both, bringing agility and intelligence to how we plan and execute large-scale projects.”
Difficulties and limits
- Traditional scheduling tools could not efficiently test multiple construction scenarios at scale or account for complex interdependencies.
- Available accommodation facilities limited the maximum number of direct labor resources.
Sources
- blog.alicetechnologies.com — vendor self-report
Similar deployments
GE Aerospace
Independently reportedManufacturing · Process automation · Classical ML · Scaled
Apollo Tyres
under 10 minutes — Time for root cause analysis
Independently reportedManufacturing · Process automation · AI agents · In production
Broadcom · Moveworks
88% — autonomous IT resolution rate
Independently reportedTechnology & software · Process automation · NLP · Scaled
icare · SAS
increased by 15% — accuracy
Independently reportedInsurance · Process automation · Classical ML · Scaled · 2019
Amazon · Amazon
10% more — shopper spend
Independently reportedRetail & e-commerce · Process automation · Computer vision · Scaled · 2024