Case Studies

Data-driven pricing model and demand forecasting system for a South Texas boat dealership — replacing gut-feel pricing with ML-powered inventory intelligence.

An illustrative scenario: NLP-powered document triage and case classification for a high-volume personal injury firm, with bilingual capability. The firm is a composite and every figure is modeled.

ML-powered dynamic pricing engine and inventory turn optimizer for a South Texas used-car lot — replacing intuition-based pricing with real-time market intelligence.

Bilingual municipal AI chatbot deployed for the City of Harlingen, TX — enabling residents to access city services and information in English and Spanish 24/7.

Sentiment-based cross-asset market regime detection system that classifies market conditions using NLP on financial news, earnings calls, and SEC filings.

A multimodal retrieval layer for financial documents: filings, transcripts, charts and earnings audio embedded into one shared vector space, searched together, and explained per result.

Lead scoring and neighborhood demand forecasting system for a South Texas home builder — replacing spray-and-pray marketing with data-driven land acquisition and buyer targeting.

Revenue management and guest sentiment intelligence for a South Padre Island resort — combining demand forecasting, dynamic pricing simulation, and NLP-driven review analysis.

Fleet-wide trip profitability analysis and market timing system for a Gulf of Mexico shrimping operation — optimizing fuel costs, catch-per-unit-effort, and wholesale price timing.

Patient volume forecasting, no-show prediction, and staffing optimization for a multi-clinic urgent care network in South Texas — reducing wait times and labor costs simultaneously.

Yield prediction, irrigation optimization, and freeze risk quantification for a Rio Grande Valley citrus cooperative — turning weather data into actionable farming intelligence.