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Case studies

Production systems, with the numbers.

Six deployments across logistics, hospitality, retail, edtech and media: the problem, the architecture we chose and what it changed.

CS-01Logistics

Autonomous Fleet & Logistics Audit AI

Computer vision inspection pipeline replacing manual vehicle assessments with automated, auditable condition scoring.

Challenge

Manual inspections suffered from human variance, slow turnaround times, and fragmented record-keeping, delaying billing cycles and masking chronic vehicle damage.

Architecture

  • YOLOv8 and Detectron2 models fine-tuned on proprietary fleet imagery for automated damage segmentation.
  • Real-time frame ingestion feeding a GPU-accelerated FastAPI inference cluster.
  • Audit telemetry written to an immutable inspection ledger and exposed via authenticated APIs to operator consoles.
  • Automated historical diffing comparing current inspection states against baseline vehicle records.

Outcome

  • Inspection telemetry generated and logged in under three seconds.
  • Audit processing efficiency improved by 45% with a 60ms latency reduction over legacy pipelines.
  • Uniform, objective damage scoring across all regional inspection sites.
Audit efficiency
+45%
Latency reduction
-60ms
Telemetry generation
<3s
  • YOLOv8
  • Detectron2
  • PyTorch
  • FastAPI
  • Docker

CS-02Hospitality

Multi-Branch Hospitality & POS Ecosystem

Centralized inventory and point-of-sale synchronization architecture across 5+ regional hotel and restaurant venues.

Challenge

Siloed location software created inventory discrepancies, while manual shift reconciliation of voids and discounts obscured revenue leakage and prevented accurate group reporting.

Architecture

  • Edge POS terminals operating offline against local embedded stores, syncing asynchronously via ordered event streams.
  • Centralized inventory ledger handling multi-branch transfers and automated variance tracking.
  • Rule-based verification engine flagging unauthorized voids, discounts, and stock discrepancies per shift.
  • Unified enterprise dashboard reading from the exact transactional ledger as frontline terminals.
  • Granular role-based access control, AES-256 field encryption, and tamper-evident audit logs.

Outcome

  • Unified single source of truth established across 5+ distinct regional locations.
  • Revenue leakage eradicated through automated shift-level ledger reconciliation.
  • Zero downtime during network partitions with automatic background synchronization upon reconnection.
Locations synchronized
5+
Stock and sales sync
Real-time
Leakage prevention
Per-shift
  • Node.js
  • Go
  • Angular
  • MongoDB
  • Docker

CS-03Retail

Custom E-commerce Engine from Scratch

High-load retail platform engineered from first principles to process thousands of concurrent checkouts without degradation.

Challenge

Off-the-shelf e-commerce platforms created rigid bottlenecks in pricing logic, inventory locking, and checkout throughput under promotional peak loads.

Architecture

  • Stateless checkout microservices deployed behind load balancers on Kubernetes with predictive horizontal autoscaling.
  • Idempotent order creation workflows featuring time-boxed inventory reservation locks preventing race conditions.
  • Tokenized payment gateway integration with automated financial settlement reconciliation.
  • Health-gated rolling deployment pipelines enabling code promotion during active trading hours.
  • High-performance Angular storefront utilizing server-side rendering for indexable, lightning-fast catalog navigation.

Outcome

  • Successfully processed thousands of concurrent checkouts during peak sales events without service interruption.
  • Achieved zero downtime across all production software releases.
  • Restored full business ownership over complex matrix pricing and promotional rules.
Concurrent checkouts
Thousands
Downtime during releases
0
SLA target
99.9%
  • Node.js
  • Go
  • Angular
  • Kubernetes
  • MongoDB

CS-04Edtech

Edtech Preparation SaaS Platform

Multi-tenant student management and performance analytics platform consolidating fragmented administrative workflows.

Challenge

Educational institutes relied on disconnected legacy tools for admissions, attendance tracking, and grading, preventing a coherent view of student progression.

Architecture

  • Multi-tenant Angular and Node.js platform enforcing strict per-institute data isolation.
  • Granular role-scoped access profiles for administrators, faculty, students, and parents.
  • Performance analytics engine aggregating continuous assessment data into cohort and individual trends.
  • Secure parent portal delivering real-time attendance and milestone tracking notifications.
  • Robust JWT authentication, bcrypt credential hashing, and AES-256 encryption for sensitive student records.

Outcome

  • Replaced a fragmented toolchain with a unified enterprise system of record.
  • Enabled automated parent communication and reporting without administrative overhead.
  • Provided executive management with real-time institutional performance analytics.
Per-institute isolation
Multi-tenant
Staff, student, parent
Role-scoped
  • Angular
  • Node.js
  • MongoDB
  • Docker

CS-05Media & SaaS

High-Concurrency Streaming & SaaS

Optimized HTTP 206 video delivery architecture featuring chunked encryption and tenant-level revenue controls.

Challenge

Delivering protected media content to massive concurrent audiences required efficient partial-content streaming, robust digital rights protection, and precise tenant accounting.

Architecture

  • HTTP 206 partial-content range delivery enabling seamless media seeking and buffering without full file downloads.
  • Segment-level AES-256 chunk encryption safeguarding video assets both at rest and in transit.
  • Multi-tenant financial logic isolating customer billing, content entitlements, and analytics reporting.

Outcome

  • Achieved instant playback start times and smooth seeking under heavy concurrent viewer loads.
  • Secured proprietary media assets end-to-end without degrading client-side playback performance.
  • Established clean multi-tenant data boundaries for accurate billing attribution.
Range-request delivery
206
Chunk encryption
AES-256
  • Node.js
  • Express
  • MongoDB
  • Angular
  • AES-256

CS-06Edtech

Past Paper Scraping & LLM Chunking Pipeline

High-speed web scraper and PDF processing pipeline engineered to ingest and structure data for LLM retrieval systems.

Challenge

Critical examination archives were locked across protected websites in unstructured PDF formats, rendering them unusable for retrieval-augmented generation (RAG).

Architecture

  • Cloudscraper-based collection engine optimized for resilience against bot mitigation systems.
  • PyMuPDF extraction pipeline preserving document hierarchical structure across headings, equations, and metadata.
  • Semantic chunking algorithms formatting raw content into clean, retrieval-ready vector database records.

Outcome

  • Replaced manual data collection with a fully automated, repeatable ingestion pipeline.
  • Delivered clean, uniformly structured corpora primed for downstream vector indexing.
  • Provided the foundational data layer for AI-driven search and automated tutoring tools.
Chunked datasets
LLM-ready
Core extraction libraries
2
  • Python
  • Cloudscraper
  • PyMuPDF
  • MongoDB

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