Case Study

Accurate Fraud Detection

Accurate Fraud Detection

Analytical Framework

One of India’s leading delivery services companies, operating at scale across urban and regional markets with a large workforce and partner ecosystem.

Type

Industry

Banking

Categories

AI GovernanceCollections & Recovery

Industry

Data AcceleratorModel Risk Management

The Challenge

With the rapid growth of digital payments and e-commerce, fraud and financial crime have increased significantly. As transaction volumes rise, detecting fraud after the event is no longer sufficient.

Traditional fraud-detection tools struggle to: – Detect fraud in real time – Adapt to new and evolving fraud patterns – Minimize manual investigation effort – Identify unknown or emerging fraud types Fraudsters continuously exploit confidential data and new techniques, making it critical for organizations to detect and act on fraud instantly.

The Solution

iTuring.ai enabled real-time fraud detection using high-accuracy machine-learning models.

The platform analyzed hundreds of transaction parameters, including: – Transaction amount – Historical transaction behavior – Location and timing of transactions – Merchant information By recognizing hidden patterns and behavioral anomalies, iTuring differentiated between legitimate customers and fraudsters—even when fraud signals appeared unrelated. For this delivery services company, iTuring built both: – Supervised models to detect known fraud – Unsupervised models to uncover unknown and emerging fraud patterns Despite an exceptionally low fraud rate of 0.00011%, the models delivered strong, reliable performance.

IMPACT

Predictive Accuracy

97%

Fraud Savings

USD 25K+ ↑

New Frauds Detected

2,500+

WHY ITURING.AI

iTuring goes beyond identifying suspicious transactions.

The platform:
Detects both known and unknown fraud
Discovers anomalies hidden deep within transactional data
Adapts to changing fraud patterns by automatically retraining models
Ensures consistent, reliable decision-making in real time

FAQs

01

Why was real-time fraud detection critical for this business?

+

The growth of digital transactions increased fraud risk, making post-event detection ineffective and costly.

02

How did iTuring detect fraud accurately?

+

iTuring analyzed hundreds of transaction attributes and identified hidden behavioral patterns to distinguish fraud from legitimate activity.

03

What types of fraud could the models detect?

+

The solution detected both known fraud using supervised learning and unknown or emerging fraud using unsupervised models.

04

How accurate were the fraud detection models?

+

The supervised models achieved 97% accuracy with very low false positives, even with an extremely low fraud incidence rate.

05

What tangible benefits did the company achieve?

+

The company saved over USD 25,000, identified more than 2,500 new fraud cases, and reduced manual fraud investigation effort.

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Vipin Johnson

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Description Goes Here

Rajnish Ranjan

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Rajnish brings over two decades of experience leading data-driven transformation across Fortune 500 organisations.

 

His career spans senior roles at HSBC, Zafin, Cisco, TCS, Nielsen, iQuanti, Symphony, Supervalu, and Harman, delivering measurable cost savings, operational efficiencies, and revenue growth.

 

With experience across banking, retail, telecom, pharma, CPG, and digital marketing, he leads cross-functional teams at iTuring.ai to deliver advanced analytics, machine learning, and AI solutions.

Aishwarya Hegde

VP Operations & Content Head

Aishwarya has been instrumental in building iTuring.ai from inception and continues to manage core operations across the organisation. Her responsibilities span project operations, financial planning, and evaluating future expansion opportunities.

 

Prior to iTuring.ai, she worked with Market Probe and WNS Research & Analytics, delivering high-impact decision support and actionable analytics for IBM with a record of zero errors.

 

Aishwarya holds a postgraduate degree in Data Science and Machine Learning from Manipal University.

Bryan McLachlan

Managing Director – Africa

Bryan has 30 years of experience driving innovation and growth across technology, banking, insurance, and retail.

 

Prior to iTuring.ai, he held executive leadership roles at Instant Life, AIG, Nedbank, FNB, and TransUnion. He focuses on enabling enterprises to adopt AI and machine learning within trusted, governed, and risk-managed frameworks.

 

Bryan holds a Master’s degree in Commerce from the University of Johannesburg.

Mohammed Nawas M P

Co-Founder, VP Product Development

Nawas brings 20 years of experience in designing and delivering cloud-native software and data systems. He has held senior technology roles at HCL, Radisys, Kyocera, and Mindtree, leading large development teams and complex product builds.

 

At iTuring.ai, he oversees product roadmap and customer delivery, applying cloud-first thinking, deep systems expertise, and a focus on building robust, scalable AI solutions that challenge industry norms.

 

He is a graduate of Rajiv Gandhi Institute of Technology.

Amit Kumar
Co-Founder, VP Product Engineering

Amit is a technology architect with over 18 years of experience designing data-intensive systems and enterprise analytics platforms. He has built highly scalable products across open architecture models and virtualised infrastructure, aligning deep technical detail with business requirements for AI and ML solutions.

 

Prior to iTuring.ai, he held senior technical roles at Radisys and Aricent. Amit leads platform architecture with a focus on governance, lineage, and traceability.

 

He holds a First Class with Distinction BTech in Computer Science from Cochin University.

Valsan Ponnachath

President, COO and Co-founder

Valsan brings over two decades of global leadership across sales, professional services, and product operations in technology and SaaS enterprises.

 

Prior to iTuring.ai, he held senior executive roles at Fiserv, Cisco, and Sun Microsystems, most recently serving as Senior Vice President at Fiserv overseeing global system integration and international professional services. Based in California, he leads iTuring.ai’s growth in the Americas.

 

Valsan holds an MBA from the University of Nebraska and a BE in Computer Science from Bangalore University.

Suman Singh

Founder & CEO

Before founding iTuring.ai in 2018, Suman led analytics at Zafin and Fiserv as CAO and General Manager Analytics, delivering enterprise-scale solutions still running in production.

 

His work includes fraud detection systems saving clients over $19M, patented Customer Relationship Score methodology, and price optimisation recognised by the INFORMS Edelman Award (2014). He has authored multiple research papers and pioneered the data-to-value approach.

 

Suman holds a Master’s in Statistics from CCS HAU and a Bachelor’s in Agricultural Engineering from BHU.