Ignacio Moreno
AI Solutions Architect
In a world where technology and common sense intertwine, I believe artificial intelligence acts as both a catalyst and a guide, encouraging us to explore new realms of innovation. My passion for AI goes beyond technical skill; it focuses on creating experiences that meet genuine human /business needs. By utilizing advanced algorithms and making complex code accessible, I strive to simplify AI, enabling informed decisions and industry evolution. Join me on this platform as I share my journey and insights in the vast field of AI, exploring the remarkable possibilities technology offers when driven by intention and creativity.
Projects, PoCs and Articles
At Nacho AI, I explore the transformative potential of artificial intelligence through unique proof of concepts that showcase AI’s ability to address real-world challenges while opening avenues for growth. By examining various industries, I demonstrate how AI enhances efficiency, informs decision-making, and provides actionable insights. Utilizing cutting-edge technologies with established methods, I present concrete examples of AI applications that tackle pressing issues and inspire ongoing curiosity and integration across sectors, ultimately promoting societal advancement and improving lives.
Unlocking the Power OpenAI. A deep dive into their service portfolio
Revolutionizing AI for Individuals, Teams, and Enterprises Today, we’re going to explore the expansive and exciting service portfolio offered by OpenAI. Whether you’re an individual looking to enhance your personal productivity, a team striving for better...
Dimensionality Reduction Techniques: PCA and t-SNE Explained
Dimensionality reduction is a crucial technique that helps simplify complex datasets while retaining their essential features. Among the various methods available, Principal Component Analysis (PCA) and t-Distributed Stochastic Neighbor Embedding (t-SNE) are two of...
Explainable AI: Understanding the Black Box
` Artificial Intelligence (AI) has revolutionized various sectors, from healthcare to finance, by providing powerful tools for data analysis and decision-making. However, as AI systems become increasingly complex, they often operate as "black boxes," making it...
Model Evaluation Metrics: Precision, Recall, F1 Score, and Beyond
In the realm of machine learning and data science, model evaluation is a critical step in ensuring that predictive models perform effectively. Among the various metrics available, precision, recall, and F1 score are some of the most widely used. Understanding these...
Hyperparameter Tuning: Getting the Best from Your Models
Machine learning, the performance of a model is not solely dependent on the algorithm used or the quality of the data. A critical aspect that can significantly influence the outcome is hyperparameter tuning. This process involves optimizing the parameters that govern...
Time Series Analysis and Forecasting with AI
Time series analysis and forecasting have become essential tools in various fields, including finance, economics, healthcare, and environmental science. With the advent of artificial intelligence (AI), these techniques have evolved significantly, enabling more...
Perform an AI Readiness Assessment
Evaluate your organization’s preparedness for AI integration with a comprehensive assessment designed to identify strengths and areas for improvement, ensuring you are fully equipped to leverage the transformative potential of artificial intelligence.
Wholesale and Distribution
From my experience in the wholesale industry, I’ve identified several common challenges related to process management. These include data integration and migration, which can lead to inaccuracies and data loss. Efficient inventory management is also a challenge, as inaccurate tracking can result in stockouts, overstocking, and increased costs. Additionally, streamlining order processing and fulfillment is important, as inefficiencies in these areas can affect customer satisfaction and overall profitability. Managing special orders, dealing with various units of measure (OUMs), and navigating different Incoterms are also significant challenges that require careful attention.
Manufacturing
Manufacturing challenges include data integration and migration issues, inefficient inventory management, and streamlining order processing and fulfillment. Additionally, managing special orders, handling various units of measure (OUMs), and navigating different Incoterms are significant hurdles. Challenges with MRP (Material Requirements Planning), as well as balancing make-to-order versus make-to-stock production strategies, also play a critical role. Addressing these is crucial for optimizing operations and maintaining a competitive edge.
Common AI Solutions for manufacturing are Advanced Manufacturing, Work Orders and Assemblies, Demand Planning, and Inventory Management are on my experience
E-commerce
Data integration and migration issues, inefficient inventory management, and streamlining order processing and fulfillment. Additionally, managing special orders, handling various units of measure (OUMs), and dropshipping complexities are significant hurdles. Accurate shipping rates calculation and optimal routing further complicate operations. Seamless integration with platforms like Shopify, Magento, Vtex, and WooCommerce is crucial. Addressing these challenges is essential for optimizing operations and maintaining a competitive edge.
Oil&Gas
In the oil and gas industry, managing wells and field services, along with the granular measurement of operation costs for upstream, midstream, and downstream operations, is crucial. Navigating these complexities, each with different operational and financial impacts, and managing deals or M&A of oil companies, are significant challenges. I am well-versed in these industry’s challenges, particularly in understanding the financial lifecycle and the IT impact across all operations. Accurate management of these areas is essential for optimizing operations and maintaining a competitive edge.
Services
In the services industry, managing projects and cases efficiently is essential. Depending on the service style, we encounter project-oriented and case-oriented companies, each requiring different approaches and tools. Project-oriented companies benefit from modules such as Project Management, Resource Allocation, and Time Tracking, ensuring all aspects of a project are monitored and optimized. Case-oriented companies, on the other hand, utilize modules like Case Management, Customer Service, and Support, focusing on resolving client issues promptly and effectively.
I understand the unique challenges of this industry, including the need for accurate project costing, resource management, and delivering timely support. Addressing these challenges is crucial for optimizing operations and maintaining client satisfaction.
Mining
In the mining industry, I have had the opportunity to contribute significantly by understanding the processes of large, mid-sized, and small miners in both exploration and exploitation stages. This includes managing processing plants, leaching processes, and artisanal mining frameworks for mineral commercialization, traceability, and due diligence. My extensive knowledge of the industry has allowed me to build custom ERP solutions that support these processes, with or without production management involved.
Addressing the complexities of mining operations, from exploration to exploitation, and ensuring efficient mineral commercialization and traceability is crucial. By implementing AI Automation systems, I help optimize these operations and maintain compliance with industry standards.
FAQs
- 1.-How do you help companies move from manual processes to AI-driven operations?
- What makes your approach different from pure technical AI Architects?
- 3.-Can you help companies that still rely on spreadsheets and manual processes?
- 4.-Can you help our internal developers or AI team deliver faster?
I specialize in translating detailed process mapping and outcome analysis into actionable transformation strategies. By thoroughly understanding how operations function—especially where they rely on manual Excel-based workflows—I design and implement optimized process architectures that replace inefficiencies with structured backend systems such as ERPs, CRMs, or custom rapid-development platforms. Once that foundation is in place, I orchestrate the use of cognitive technologies like AI Documents, AI Voice, and AI Workflows to streamline execution, eliminate bottlenecks, and ensure scalability. This integrated approach not only reduces operational friction but also boosts throughput and guarantees measurable ROI.
I bring 27 years of experience across industries like logistics, education, finance, retail, and manufacturing. That depth allows me to propose solutions that feel intuitive and practical—because I’ve seen what works. My goal is always to build smart, real-world AI implementations that align with how people actually work, not just what’s technically possible.
Absolutely. Many of my clients start with scattered spreadsheets and disconnected workflows. I help them design a roadmap to adopt the right backend systems—or even build lightweight custom platforms on the fly when needed. Once that foundation is in place, I layer AI capabilities like document automation and workflows to streamline operations and scale intelligently.
Yes. I specialize in translating business needs into clear, buildable architectures. By guiding internal devs with prompts, workflows, and system design, I enable them to focus on execution—reducing trial and error and accelerating delivery timelines.
Get In Touch
