CASE STUDIES
Real-world AI implementations driving measurable business outcomes across diverse industries
O.U.C.H Platform
AI-driven platform transforming brick-and-mortar hospitality operations from reactive chaos to proactive optimization. Real-time intelligence for staffing, inventory, and guest flow management.
The hospitality industry loses $8.9B annually to operational inefficiency. Staff turnover averages 73%. Manual scheduling creates 40% overstaffing or 30% understaffing. O.U.C.H transforms these pain points into competitive advantages through predictive AI.
AI TRANSFORMATION PIPELINE
AI-Driven Revenue Management System
Built a custom AI-powered RMS to benchmark against IDeaS, integrating historical OTA data, competitor scraping, and external demand signals to optimize pricing strategies and revenue forecasting.
Reduced reliance on expensive SaaS RMS solutions, improved pricing agility through real-time market intelligence, and lifted revenue confidence with sophisticated demand-trigger forecasting models.
SYSTEM ARCHITECTURE
Digital Marketing Transformation
Redesigned email infrastructure, customer segmentation, and marketing automation to support direct-to-consumer growth and successful LCBO expansion throughout Ontario.
Significantly improved email open and click-through rates, reduced spam risk through proper authentication, and enabled targeted Ontario campaigns that directly contributed to successful LCBO launch.
MARKETING AUTOMATION STACK
AI Knowledge & Analytics Infrastructure
Deployed a comprehensive multi-agent orchestration framework to unify disparate data streams from CRM, ERP, PMS, and analytics platforms into query-ready dashboards and GPT-powered interfaces.
Enabled real-time data queries across entire investment portfolio, dramatically reduced reporting lag times, and significantly cut SaaS costs by consolidating multiple data integration flows into unified system.
MULTI-AGENT SYSTEM ARCHITECTURE
Real-Time Voice AI System
Built a fully local conversational voice AI system using Gemma3 12B 2.2 for reasoning, Whisper for speech recognition, CSM 1B + ElevenLabs for voice synthesis, and WebRTC for real-time audio streaming - eliminating cloud dependencies for privacy-focused voice applications.
Demonstrated feasibility of running enterprise-grade voice AI entirely on-premise with sub-second response times, providing complete data privacy while matching commercial voice assistant capabilities. System architecture enables character personality customization and multi-modal interactions without external API costs.
VOICE AI PIPELINE
Neural Network Visualization System
Web application that visualizes neural network activations through artistic renderings. Supports image uploads and live audio recording, processing them through ResNet18 or CSM-1B models with 8 unique visualization styles including Matrix code rain, circuit board schematics, and pointillist art.
Created an interactive tool for understanding how deep learning models perceive data. Enables real-time audio-to-visual transformations via mel-spectrograms, demonstrating neural activation patterns in creative formats. Fully functional Flask application with WebAudio API integration for live microphone capture and waveform visualization.