Case Studies
Illustrative project scenarios, organized by the core solutions we deliver
These case studies are illustrative examples of the type of work we do, not documented client engagements.
Smart Factory Monitoring System
Manufacturing Industry
Challenge:
A large automotive parts manufacturer needed real-time visibility into their production lines to reduce downtime and improve Overall Equipment Effectiveness (OEE).
Solution:
Deployed 200+ IoT sensors across 15 production lines with edge computing for real-time analytics. Integrated with existing SCADA systems and created a centralized monitoring dashboard.
Results:
- 35% reduction in unplanned downtime
- 28% improvement in OEE
- $2M annual cost savings
Precision Agriculture Platform
Agriculture Industry
Challenge:
Agricultural cooperative managing 5,000 hectares needed data-driven insights to optimize irrigation and fertilization while reducing water consumption.
Solution:
Deployed LoRaWAN sensor network for soil moisture, weather monitoring, and crop health analysis using drone imagery with computer vision models for disease detection.
Results:
- 40% reduction in water usage
- 22% increase in crop yields
- Early disease detection reduced losses by 15%
E-commerce Azure Migration & Scaling
E-commerce
Challenge:
Growing e-commerce platform experiencing performance issues with on-premise infrastructure. Needed to scale for 10x traffic growth during peak seasons.
Solution:
Migrated monolithic application to microservices on Azure Kubernetes Service (AKS). Implemented auto-scaling, Azure CDN, and Azure Functions for order processing.
Results:
- 99.99% uptime achieved
- 70% reduction in page load times
- 45% reduction in infrastructure costs
AI-Powered Predictive Maintenance
Industrial Equipment
Challenge:
Industrial equipment manufacturer faced high warranty costs due to unexpected failures. Reactive maintenance approach led to costly downtime for customers.
Solution:
Deployed ML models analyzing vibration, temperature, and acoustic data from edge devices. Trained ensemble models to predict failures 5-7 days in advance.
Results:
- 60% reduction in unplanned downtime
- 50% decrease in maintenance costs
- 92% prediction accuracy
Smart Building Management System
Commercial Real Estate
Challenge:
30-story office building needed integrated automation for HVAC, lighting, and access control to reduce energy costs and improve tenant comfort.
Solution:
Implemented BACnet-based BMS with occupancy sensors, smart thermostats, and automated lighting. Mobile app for facility management and tenant climate control.
Results:
- 38% reduction in energy consumption
- $180K annual energy cost savings
- 95% tenant satisfaction score
Vehicle Telematics & Fleet Management
Logistics
Challenge:
Logistics company managing 500+ vehicles lacked real-time visibility into fleet operations, leading to inefficient routing and high fuel costs.
Solution:
Custom OBD-II telematics devices with GPS, accelerometer, and CAN bus integration. Cloud platform for route optimization, driver behavior analysis, and predictive maintenance.
Results:
- 25% reduction in fuel consumption
- 18% improvement in on-time deliveries
- 30% reduction in insurance premiums
AI-Powered Remote Patient Monitoring
Healthcare
Challenge:
A regional clinic network needed to monitor chronic-condition patients between visits without increasing staff workload, while staying compliant with healthcare data regulations.
Solution:
Built a wearable vitals monitor feeding an HL7/FHIR-compliant cloud platform, with an ML model that flags anomalies for clinician review and a companion mobile app for patients.
Results:
- 32% fewer avoidable hospital readmissions
- Clinicians alerted 6+ hours earlier on average
- 98% patient adoption after 3 months
Smart Grid Energy Optimization Platform
Energy
Challenge:
A regional energy provider needed to balance load across a growing share of solar and wind generation while cutting down on manual grid analysis.
Solution:
Streamed smart-meter and substation telemetry through a cloud data pipeline into real-time dashboards, with automated demand-response triggers during peak load windows.
Results:
- 19% reduction in peak-load grid strain
- 27% faster fault detection and response
- $650K annual savings on peak demand charges
Insulin Pump Firmware & Safety Validation
Medical Devices
Challenge:
A medtech startup needed IEC 62304-compliant firmware for a wearable insulin pump, with fail-safe dosing logic that could pass regulatory audit on the first submission.
Solution:
Built bare-metal firmware on a dual-core safety MCU with redundant dosing checks, watchdog supervision, and full requirements traceability for FDA submission documentation.
Results:
- Passed regulatory audit on first submission
- Zero dosing-logic defects in 12 months of field use
- 4-month reduction in certification timeline
Cold-Chain Monitoring for Grocery Distribution
Retail & Logistics
Challenge:
A grocery distributor was losing perishable inventory to undetected temperature excursions across 40 refrigerated trucks and warehouse cold rooms.
Solution:
Deployed battery-powered edge sensors with local anomaly detection and cellular fallback, triggering instant alerts before a shipment left the safe temperature range.
Results:
- 62% reduction in spoiled inventory
- Alerts delivered within 90 seconds of excursion
- $410K annual savings in write-offs
Multi-Tenant SaaS Platform Re-architecture
B2B SaaS
Challenge:
A B2B SaaS vendor's single-tenant deployments were becoming unmanageable as customer count grew, driving up hosting costs and slowing down feature releases.
Solution:
Re-architected onto a multi-tenant model on Azure with tenant-isolated data via row-level security, Azure AD B2C for identity, and blue-green deployments through Azure DevOps.
Results:
- 55% reduction in per-tenant hosting cost
- Release cadence went from monthly to weekly
- Onboarded 3x more customers with the same team
Airport Baggage Handling System Integration
Transportation
Challenge:
A regional airport ran baggage sortation on legacy PLCs with no central visibility, making it hard to diagnose jams or predict conveyor failures before they caused delays.
Solution:
Bridged legacy PLCs and barcode scanners into a local integration layer, feeding a live operations dashboard and automated fault alerts for the ground crew, all running on-site.
Results:
- 44% faster jam detection and clearance
- Zero missed-bag incidents traced to blind spots
- Full visibility with no cloud dependency
End-to-End Supply Chain Analytics Dashboard
Logistics
Challenge:
A distributor's supply chain data was scattered across five different systems, forcing planners to build manual spreadsheets to understand inventory and shipment status.
Solution:
Built a unified data pipeline consolidating ERP, WMS, and carrier data into a single warehouse, powering interactive dashboards for inventory, lead times, and delay risk.
Results:
- 90% less time spent on manual reporting
- 21% reduction in stockouts
- Delay risks flagged 3 days earlier on average
AI Demand Forecasting for Retail Inventory
Retail
Challenge:
A multi-store retailer relied on manual, rule-based reordering that left popular items out of stock while overstocking slow movers, tying up working capital.
Solution:
Trained store- and SKU-level demand forecasting models on historical sales, seasonality, and promotions data, feeding automated replenishment recommendations to store managers.
Results:
- 31% reduction in stockouts on top SKUs
- 18% reduction in excess inventory
- Forecast accuracy improved from 68% to 89%
Automated Visual Quality Inspection Line
Manufacturing
Challenge:
A components manufacturer relied on manual visual inspection, resulting in inconsistent defect detection and bottlenecks on a high-speed production line.
Solution:
Installed line-side cameras with a custom-trained defect detection model running on edge GPUs, automatically rejecting faulty parts and logging defect types for root-cause analysis.
Results:
- 99.3% defect detection accuracy
- 3x faster inspection throughput
- Customer return rate cut by 47%