Skip to content

Proven Expertise in Delivering Results

See how Codemancers has transformed ideas into impactful software solutions.

eCommerce

Flipkart

Enhancing Performance for Big Billion Days

Optimizing eCommerce performance during India's largest online sale event

Challenge

  • Flipkart needed to improve page performance and user experience in preparation for their high-traffic Big Billion Day sale.
  • Their existing front-end architecture was struggling with scalability and responsiveness.
  • +1 more challenges

Results

  • 30% faster page load times, leading to better customer retention.
  • Improved cart-to-checkout conversions by optimizing the UX.
Read more
Fintech (Payments & Fraud Detection)

Midtrans

Building a Robust Payment Ecosystem

Creating secure and scalable fintech infrastructure for a leading payment provider

Challenge

  • Midtrans needed to scale their payment platform while ensuring security and compliance.
  • Required solutions for merchant access portals, fraud detection, and payout processing.

Results

  • Enabled 10,000+ merchants to track payments seamlessly.
  • Reduced fraud-related issues by 40% using real-time analysis.
Read more
Gaming & SportsTech

FanDuel

Real-Time Betting Platform Using Elixir

Creating a high-performance betting platform for real-time sports engagement

Challenge

  • FanDuel required real-time processing of betting transactions for NBA games.
  • Needed a highly scalable, low-latency system to process millions of bets simultaneously.

Results

  • Achieved millisecond latency in processing bets.
  • Scalable architecture, handling peak user loads.
Read more
Fintech (Tax & Compliance)

ClearTax

GST Filing & Compliance Portal

Streamlining tax compliance processes for thousands of businesses across India

Challenge

  • ClearTax needed a GST compliance portal to handle real-time tax filing for businesses.
  • Required integration with Indian government's GSTN system for automated filings.

Results

  • Helped 100,000+ businesses comply with GST regulations.
  • Automated tax filings, reducing manual effort.
Read more
Fintech (Micro-Lending)

WeLab

Micro-Lending Platform for E-Commerce

Enabling instant financing solutions for online shoppers

Challenge

  • WeLab needed a fast, secure, and automated lending system for e-commerce transactions.
  • Customers required instant loan approvals at checkout to purchase items without upfront payment.
  • +1 more challenges

Results

  • 50% reduction in loan approval time, enhancing customer experience.
  • Increased conversion rates as customers could buy products without immediate payment.
Read more
Sustainability & ESG

Treeni

Transforming Sustainability Data Management

Revolutionizing environmental and sustainability reporting

Challenge

  • Treeni needed a more efficient way to manage large volumes of sustainability data for companies, including carbon footprints and ESG metrics.
  • Manual data entry was slow and repetitive, requiring hundreds of individual inputs.
  • +3 more challenges

Results

  • 60% faster data entry, improving overall productivity.
  • Enhanced emissions calculations, reducing errors and improving reporting accuracy.
Read more
Logistics & supply chain

Kawan Lama Group

Digital Procurement Transformation

Digitally transforming procurement operations to reduce SLA delays and enable data-driven vendor decisions

Challenge

  • KLG lacked a single system to manage end-to-end procurement workflows.
  • Processes were fragmented across Excel sheets, emails, and paper-based signoffs.
  • +4 more challenges

Results

  • 100% digitized inquiry → RFQ → negotiation → approval → awarding.
  • Significant reduction in procurement SLA through automated pipelines.
Read more

Your competitors are already using AI. The question is how fast you want to unlock the value.

  • Don't know where to start?

    AI is everywhere but it's unclear which investments will actually move your metrics and which are expensive experiments.

  • Your data isn't ready

    Most AI projects fail at the data layer. Pipelines, quality, access all need work before LLMs can deliver value.

  • Internal teams are stretched

    Your engineers are shipping product. They don't have capacity to also become AI specialists with production-grade experience.

  • Legacy systems block everything

    Aging, undocumented codebases make AI integration slow, risky, and expensive. They need to move first.

Don't worry. We've got you covered.

Start with the audit.

Book a free discovery call