Software Development Case Studies
Six project examples across AI, healthcare, ecommerce, manufacturing, and mobile — each with the problem, solution, and measurable outcome.
We serve businesses across multiple industries. These case studies reflect a cross-section of project types.
AI Recruitment Platform
60% reduction in hiring time
A US staffing firm was spending 12+ hours per hire on resume screening and candidate shortlisting. We built a custom AI platform that parses resumes, scores candidates against job requirements using NLP, and ranks applicants before a human recruiter sees them. The system handles 500+ applications per role without manual triage.
Challenge
Manual screening created a 3-week delay between posting and first interview.
Outcome
Time-to-first-interview dropped from 21 days to 8 days. Recruiter capacity increased 3× without additional headcount.
Healthcare Patient Portal
HIPAA-compliant solution for 50K+ patients
A multi-location physician group needed to replace a legacy patient portal that required phone calls for appointments and had no access to lab results or billing history. We built a HIPAA-compliant patient portal with appointment scheduling, test result delivery, insurance verification, and secure messaging.
Challenge
Existing system required staff to handle every patient interaction manually. No patient self-service capability.
Outcome
Front-desk call volume dropped 40%. Portal registered 50,000+ active patients in the first 8 months.
E-Commerce Analytics Dashboard
10M+ transactions processed monthly
A mid-market ecommerce operator running across 4 storefronts had no unified view of inventory, orders, and revenue. Each platform had its own dashboard and data lived in spreadsheets. We built a central analytics layer that pulls live data from Shopify, WooCommerce, and a custom storefront into one real-time dashboard.
Challenge
Business decisions were made on week-old data exported manually from three different systems.
Outcome
Inventory decisions improved. Stockout events down 35%. The system now processes 10M+ transactions monthly across all channels.
Real Estate Mobile App
Cross-platform app with AR property tours
A property developer needed a buyer-facing app for pre-sale off-plan properties. Buyers were located internationally and couldn't visit sites in person. We built a cross-platform React Native app with AR-powered virtual unit tours, floor plan navigation, real-time availability, and reservation flow with deposit payment.
Challenge
International buyers had no way to evaluate units before launch. Sales team relied entirely on PDF brochures and video calls.
Outcome
Pre-launch reservations increased 4× compared to previous development. App generated 60% of reservations without sales team involvement.
Manufacturing ERP Integration
End-to-end operations automation for 3 facilities
A Tier 2 automotive supplier running three production facilities had disconnected shop floor systems, manual production reporting, and no real-time inventory visibility. We built a custom ERP layer that integrates SAP with shop floor equipment, automating production tracking, quality reporting, and inventory updates across all three sites.
Challenge
Daily production reports were compiled manually. A data entry error in one facility took 2 days to catch.
Outcome
Production reporting became real-time. Defect detection time dropped from 48 hours to under 4 hours. Manual data entry eliminated across all facilities.
Document Processing AI
85% reduction in manual data entry
A financial services firm processed 3,000+ documents per week — loan applications, compliance forms, and client statements — all requiring manual data extraction into their CRM. We built an AI document processing pipeline using OCR, document classification, and structured data extraction that feeds directly into their existing systems.
Challenge
A team of 6 spent 80% of their time on data entry. Error rate on manual extraction was running at 4%, causing downstream compliance issues.
Outcome
Document processing time dropped 85%. Error rate fell to under 0.5%. The 6-person team was redeployed to higher-value analysis work.
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