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Rescuing a Logistics Startup from Outsourced Code to Production-Ready Platform | Case Study

A last-mile delivery startup had spent months and significant capital on an outsourced development shop to build their MVP — a marketplace with courier and labe...
Logistics / Last-Mile Delivery Last-Mile Delivery Startup

Rescuing a Logistics Startup from Outsourced Code to Production-Ready Platform

Rescuing a Logistics Startup from Outsourced Code to Production-Ready Platform
Up to 4 developers managed Team Size
Serverless → Elastic Beanstalk → Kubernetes EKS Infrastructure
Up to 20 per day at peak Daily Deliveries
2 major versions (rescue + full rewrite) Platform Versions
19 months Engagement Duration
Feasibility analysis, pricing models, competitive intelligence Investor Deliverables

The Challenge

A last-mile delivery startup had spent months and significant capital on an outsourced development shop to build their MVP — a marketplace with courier and label-generation services. They were weeks away from deploying to production when they brought in a Fractional CTO.

The assessment revealed serious problems:

  • Spaghetti codebase — multiple developers had worked without architectural guidance, each solving problems their own way, creating a Frankenstein of inconsistent patterns
  • Mixed data models — some data was relational, some was document-based, with no consistent strategy
  • No tests, no SDLC — no automated testing, no code review process, no development workflow
  • Cost-blind architecture — the serverless design relied heavily on managed services with no cost optimization, and infrastructure costs would have soared at scale
  • No technical leadership — the development team had no one guiding architecture, standards, or engineering practices
  • Operational gaps — beyond technology, the company lacked structured processes for HR, delivery operations, and team management

Our Solution

Reyem Tech embedded as Fractional CTO for a 19-month engagement that went far beyond typical technical leadership — spanning infrastructure, application development, team management, operations, and investor relations.

Phase 1: Stabilize and Ship (Months 1–6)

  • Assessed the outsourced codebase and identified critical risks before production deployment
  • Engineered a new Elastic Beanstalk architecture to replace the cost-heavy serverless design
  • Implemented Scrum, ticketing, and a full SDLC — bringing structure to a team that had none
  • Managed the existing development team, stabilized the MVP, and deployed v1 to production
  • Onboarded real customers and began processing live deliveries

Phase 2: Operate and Learn (Months 6–12)

  • Managed a team of up to 4 developers simultaneously, hiring replacements as team members transitioned
  • Supported live operations processing up to 20 deliveries per day across flower shops, pizzerias, and specialty retailers
  • Handled operational surges — Valentine's Day required all-hands coordination across technology and logistics
  • Identified that most recurring issues were operational, not technical — drove process improvements across HR, delivery workflows, and company policies
  • Documented persistent architectural problems that couldn't be patched — the inconsistent data models and patterns created by the outsourced team were too deeply embedded

Phase 3: Strategic Rebuild (Months 12–19)

  • Made the case for a full platform rewrite based on months of evidence — the v1 architecture couldn't scale
  • Built the entire v2 core personally while the development team continued maintaining v1 for live customers
  • Designed and deployed Kubernetes (EKS) infrastructure from scratch — production-grade, cost-optimized, and scalable
  • Established proper testing, CI/CD pipelines, and engineering standards so the platform could be maintained by the team
  • Once v2 was stable and tested, transitioned the development team onto the new codebase with proper onboarding
  • Supported investor relations — validating a new business model pivot, producing technical feasibility analysis, competitive intelligence, pricing models, and investor-grade documentation

The Results

Over 19 months, the startup transformed from a failing outsourced MVP to a production platform with real customers and a clear path forward:

  • V1 rescued and deployed — a codebase that was weeks from a costly production failure was stabilized, re-architected, and shipped
  • Real customer traction — live deliveries for flower shops, pizzerias, and retailers, handling up to 20 deliveries per day including high-demand seasonal peaks
  • V2 built from the ground up — a complete platform rewrite on Kubernetes with proper architecture, testing, and SDLC workflows, replacing the unsustainable outsourced code
  • Infrastructure costs controlled — moved from an expensive serverless design to cost-optimized Elastic Beanstalk (v1) and Kubernetes EKS (v2)
  • Engineering team managed and mentored — up to 4 developers at a time, with structured Scrum process, hiring, and knowledge transfer
  • Operational maturity — implemented processes for HR, delivery operations, and company policies that went well beyond the CTO title
  • Investor-ready — produced technical feasibility analysis, competitive landscape research, and pricing models to support fundraising for the next phase

The engagement demonstrated the full breadth of what a fractional CTO delivers to an early-stage startup: not just code and infrastructure, but the leadership, process, and strategic thinking needed to turn a struggling product into a viable business.

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