■ Case Study

Engineering Solutions That Solve Real Business Problems

Each case study highlights how we partnered with organizations to design, build, and scale technology solutions that addressed real operational challenges, reduced risk, and delivered measurable business outcomes.

FEATURED CASE STUDY How We Enabled National-Scale E-Commerce Operations

We partnered with a large e-commerce ecosystem to design and scale a high-volume digital commerce platform capable of serving millions of users across distributed markets—without compromising stability, performance, or operational control.

  • National-scale platform supporting millions of users
  • 20M+ households enabled across distributed markets
  • ₹4.5B+ Gross Merchandise Value processed
  • 6M+ SKUs managed across 600+ fulfillment hubs
■ Importance

Strengthening Identity & Access Management Through Automation

We partnered with a global enterprise services organization to automate Identity and Access Management (IAM) processes - improving security posture, reducing operational overhead, and enabling faster, audit-ready access provisioning at scale.

  • Faster access provisioning and de-provisioning
  • Reduced manual intervention and security risk
  • Improved audit readiness and compliance visibility
  • Consistent identity governance across enterprise systems
■ Importance

Accelerating Product Delivery for a Fast-Growing E-Commerce Platform.

We supported a rapidly scaling e-commerce business by strengthening mobile and backend delivery helping the platform release faster, perform reliably, and scale without disrupting customer experience.

  • Faster and more predictable release cycles
  • Improved mobile and backend stability
  • Enhanced scalability during growth periods
  • Stronger delivery confidence across teams
■ Importance

Streamlining P2P Operations Through Automation

We helped a technology-driven organization simplify and automate Procure-to-Pay (P2P) workflows -reducing manual effort, improving consistency, and increasing operational efficiency across teams.

  • Reduced manual processing effort
  • Improved consistency across P2P workflows
  • Faster turnaround times
  • Greater operational visibility and control
■ Importance

ENTERPRISE SUPPORT PLATFORM CONSOLIDATION

Operating multiple customer support systems across regions created fragmented workflows, inconsistent reporting, and higher operational overhead. These challenges limited visibility and made it difficult to scale enterprise support operations efficiently. Consolidating systems into a unified platform was essential to improve control, consistency, and service reliability without disrupting ongoing support operations.

  • Unified Support Operations
  • Improved Operational Visibility
  • Reduced System Complexity
  • Scalable Support Foundation
■ Importance

ML-DRIVEN ALTERNATIVE CREDIT SCORING

Traditional credit scoring models excluded large segments of underbanked users and limited growth opportunities for digital lenders. The client needed a more inclusive, data-driven approach to assess credit risk while maintaining accuracy, control, and responsible data usage. Machine learning–driven insights were essential to expand credit access without increasing risk exposure.

  • Expanded Credit Coverage
  • Improved Risk Insights
  • Scalable Decision Framework
  • Foundation for Responsible AI
■ Importance

INSURANCE AGGREGATION MODERNIZATION

The existing insurance aggregation platform was limiting the client’s ability to scale, onboard new partners, and release features at speed. Performance bottlenecks and tightly coupled architecture increased operational risk and slowed innovation. Modernizing the platform was critical to support growth while maintaining stability, integration reliability, and business continuity in a regulated insurance environment.

  • Improved Platform Scalability
  • Faster Product & Partner Onboarding
  • Reduced Technical Complexity
  • Greater Operational Stability