Case Studies & Engineering Proof
Explore how TrustIQ Labs partners with ambitious startups and global enterprises to solve high-complexity software engineering and AI challenges with verified business outcomes.
Predictive Demand Forecasting
The Challenge:
An omni-channel retail brand with over 15,000 SKUs struggled with severe inventory imbalances during seasonal flash sales, leading to revenue loss and high storage overhead.
Our Engineering Solution:
TrustIQ Labs designed a multi-horizon time-series forecasting engine incorporating local holiday markers, historical purchase velocity, and regional weather telemetry into an automated replenishment dashboard.
Technologies Deployed:
Adaptive Fraud Detection
The Challenge:
A fast-growing international digital payment gateway was experiencing increased chargeback fraud while legacy static rules generated excessive false declines that hurt conversion.
Our Engineering Solution:
We engineered a real-time graph neural network scoring pipeline that assesses behavioral biometrics and transaction entropy dynamically within the authorization path.
Technologies Deployed:
Telehealth & Remote Diagnostics
The Challenge:
A healthcare startup needed to launch an encrypted video consultation and asynchronous vitals tracking app across iOS and Android on an aggressive launch schedule.
Our Engineering Solution:
Engineered a unified Flutter mobile application with WebRTC video calling, end-to-end encrypted messaging, automated appointment syncing, and Apple HealthKit integration.
Technologies Deployed:
Autonomous Fleet Dispatch Engine
The Challenge:
A regional logistics provider suffered from manual route dispatching, sub-optimal cargo packing, and delayed real-time driver status tracking.
Our Engineering Solution:
Built a custom microservices platform with real-time GPS telemetry ingestion, driver mobile companion apps, and heuristic route dispatch algorithms.