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🎯 The Startup Challenge

Quikr's used-goods marketplace was experiencing rapid growth, but manual resale processes were creating operational bottlenecks. The team needed to automate product intake, implement dynamic pricing, and reduce manual intervention in the resale workflow while maintaining quality and increasing transaction velocity. Traditional solutions were too slow for their startup pace.

Embedded Partnership:
Our FDEs worked directly with Quikr's product team for 3 months, attending daily standups, making architecture decisions, and iterating based on real-time feedback from operations staff.
Technical Co-Founder Role:
Acted as fractional CTO for the resale division, designing scalable architecture, making technology stack decisions, and establishing development best practices for the internal team.
Data-Driven Decisions:
Implemented real-time analytics dashboard to track marketplace health, pricing optimization, and operational efficiency—enabling rapid product iteration and optimization.
Automated Resale Platform:
Python/FastAPI microservice with computer vision for automated quality assessment, reducing manual review time from 2-3 days to same-day processing.
Dynamic Pricing Engine:
ML-based pricing algorithm considering market conditions, demand patterns, and competitive analysis—increasing profit margins by 25%.
Operations Dashboard:
React/TypeScript admin interface with real-time metrics, workflow management, and automated reporting for operations teams.
API-First Architecture:
RESTful APIs with comprehensive documentation, rate limiting, monitoring, and easy integration with existing Quikr systems.
Backend:
Python FastAPI, PostgreSQL, Redis for caching, Celery for background tasks
Frontend:
React with TypeScript, Material-UI components, Chart.js for analytics visualizations
Infrastructure:
AWS ECS containers, RDS for database, ElastiCache for Redis, CloudWatch for monitoring
ML/Analytics:
scikit-learn for pricing models, pandas for data processing, Mixpanel for user analytics, custom dashboards
70% Reduction in Manual Processing:
Automated quality assessment and pricing reduced manual review time from 2-3 days to same-day processing for 90% of products.
3x Increase in Resale Velocity:
Higher inventory turnover leading to improved cash flow and increased customer satisfaction with faster product availability.
$2M+ Additional GMV Unlocked:
First quarter post-launch results with continued month-over-month growth in transaction volume and value.
Zero-Lag Vendor Onboarding:
Streamlined automated process enabling instant vendor activation and immediate product listing capabilities.
"Rupantar's Forward-Deployed Engineers didn't just build software—they transformed our entire resale operation. They understood our business challenges and delivered solutions that directly impacted our bottom line. It felt like having senior technical co-founders embedded in our team. The automated workflows they built unlocked millions in additional revenue and positioned us perfectly for our next funding round."

Partnership Impact:

  • Duration: 3-month intensive Forward-Deployed Engineer partnership
  • Team Integration: Daily standups, technical architecture decisions, product strategy alignment
  • Delivery Model: Fractional CTO approach with hands-on development and strategic guidance
  • Post-Launch: Seamless handoff to internal team with comprehensive documentation and training
Marketplace Automation Platform

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itmvikastiwari@gmail.com