Unlocking Value Through Applied AI and Advanced Analytics

We design and implement custom, ad-hoc models to detect anomalies across various applications. Our systems are built to identify subtle, unusual patterns in vast datasets that often indicate fraud, waste, or operational inefficiencies. Key applications include:

• Procurement Fraud Detecting potential illicit activities and irregularities in companies with high-volume purchasing.
• Utility Fraud Identifying fraudulent customer behavior, such as meter tampering in service companies.
• Last-Mile Logistics Uncovering anomalies in retail delivery operations to prevent fraud and optimize processes.

We harness the power of Natural Language Processing (NLP) and Large Language Models (LLMs) to unlock insights from unstructured text data, turning language into a competitive advantage.

• Automated Data Categorization: We have successfully classified hundreds of thousands of unstructured purchase orders by transforming inconsistent item descriptions into semantic embeddings (using Sentence Transformers) and applying clustering models. This automatically groups similar products and services into logical subfamilies, enabling streamlined analysis and paving the way for advanced applications like anomaly detection within specific product groups. purchasing. Identifying fraudulent customer behavior, such as meter tampering in service companies.
• Custom LLM Tools: We develop custom tools based on Large Language Models for a wide range of business applications beyond generic chatbots.

• Customer Behavior: Churn prediction, fraud detection, and customer value (LTV) models.
• Advanced Segmentation: Psychographic, behavioral, and socio-demographic segmentation. RFM modeling to identify your most valuable customers.
• Growth & Potential: Models to estimate growth potential by location and product category, and to segment commercial clients by current and potential value.
• Sales Optimization: Up-selling, cross-selling, and product recommendation models.
• Performance Analysis: Models to understand product/service performance and identify key variables affecting KPIs (market share, service quality, active clients, etc.).
• Customer Acquisition: Modelos de «clientes clones» (look-alike) para encontrar perfiles similares y dirigir campañas, identificando nuevos clientes potenciales.

• Micro-Territory Performance: Demand estimation, sales breakdown, market share analysis, and identification of sales gaps and growth potential.
• Optimal Location Analysis: Análisis «Greenfield» para nuevas tiendas, puntos de venta o centros de servicio.
• Customer Behavior Patterns: Understand where customers live and shop, and their purchasing patterns by day of the week and time slot across different segments.
• Interactive Mapping: Development of dynamic dashboards with interactive maps (heatmaps, situational maps, etc.) to visualize results like customer churn density, demand intensity, and sales potential.

Our predictive maintenance programs help detect potential failures in equipment and components, enabling proactive corrective actions. This reduces critical equipment downtime and minimizes the risk of accidents.

We provide analytical tools that monitor the operating conditions of mechanical, electrical, and hydraulic equipment using data from sensors, event histories, usage status, and manufacturer recommendations.

Our advanced AI models maintain continuous surveillance, alerting the appropriate personnel about equipment that requires inspection or maintenance. A key deliverable is the complete documentation of the knowledge generated by our technology, creating a valuable asset for continuous improvement.