About Rokomari
Rokomari is Bangladesh's leading online bookstore and e-commerce platform, serving millions of readers and shoppers across the country. As mobile usage started growing rapidly in 2016, the company aimed to expand beyond the web and reach users through mobile applications, ensuring a smoother and more accessible buying experience.
Performance Highlights
3–5x
User growth post-launch
2X
Increase in customer engagement
End-to-end
Improved user journey from discovery to purchase
Unified
Web and mobile experienceacross platforms
Native
Android app built from the ground up
MVVM
Architecture adopted for scalability and flexibility
Beta
A/B testing program launched pre-release
The Challenges
Solutions & Impact
TechCare’s Journey With Rokomari
2016 — Ideation, Planning & Architecture
Rokomari approached TechCare with a clear goal: expand beyond the web and reach the growing base of smartphone users across Bangladesh. The smartphone boom was creating a new class of mobile-first shoppers, and Rokomari needed a reliable tech partner to bring their buying experience to Android.
TechCare focused on building a complete mobile buying experience before adding advanced features. Key architectural decisions were made early:
2016–2017 — Development & MVP
With feature priorities set around the most impactful user actions first, TechCare built and iterated:
2017 — Beta Testing & Launch
Before full release, TechCare ran A/B testing across a selected group of beta users. The existing feature roadmap made it straightforward to track completed, pending, and rework items. Key KPIs monitored through launch included:
2017 — Post-Launch Optimization
This approach proved valuable after launch. As Rokomari’s product team requested feature updates and changes, TechCare was able to deliver them quickly without affecting the overall system. This continued to add value beyond the initial project.
System Architecture
Results and Benefits
Operational Efficiency
Reduced Onboarding Time: 85% reduction—from 2 weeks to 3 days for new team members.
Decreased Support Burden: 70% fewer repetitive inquiries, freeing up senior staff for high-value work.
Faster Problem Resolution: 75% improvement—average resolution time dropped from 4 hours to 45 minutes.
Knowledge Continuity
Always-Current Documentation: 90%+ accuracy maintained automatically versus 40% with manual processes.
Centralized Information: Single source of truth across 25+ repositories serving 50+ team members.
Preserved Institutional Knowledge: 100% capture of architectural decisions and design patterns.
User Satisfaction
Personalized Interactions: 4.6/5.0 user satisfaction rating across all stakeholder groups.
24/7 Availability: 200+ queries per week handled with 92% first-response accuracy.
Comprehensive Coverage: 88% of queries resolved without human escalation.
Developer Productivity
API Discovery: 90% time savings—learning curve reduced from 2-3 days to 2-3 hours.
Pattern Recognition: 35% acceleration in feature development speed.
Reduced Context Switching: 6 hours per week saved per developer on documentation searches.
Key Learnings
Prompt Engineering is Critical
The quality of automated documentation depends heavily on well-crafted prompts
Automation Enables Currency
Manual documentation updates are unsustainable; automation is essential
Context Quality Over Quantity
Well-structured, relevant context outperforms exhaustive but disorganized information
Integration is Key
Seamless workflow integration ensures developer adoption and consistent documentation
Future Enhancements
Proactive Insights: Alert stakeholders to potential issues based on codebase analysis
Advanced Analytics: Track common queries to identify documentation gaps and training needs
Multi-Modal Interactions: Support for diagram generation and code visualization
Integration Expansion: Connect with project management tools, issue trackers, and CI/CD pipelines
Conclusion
By combining Claude Projects with intelligent automation through Cursor IDE and GitHub Actions, the solution demonstrates how modern AI capabilities, when properly architected and integrated, can dramatically improve organizational knowledge management and operational efficiency.
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