Articles

In many projects, the first conversation starts with a solution: “We need a system.” “We want a dashboard.” “Can you integrate this software with our machines?” At Simplico, we deliberately slow this moment down. Not because we don’t like building software — we do — but because writing code too early is one of the […]

*Applying insights from **Good Strategy / Bad Strategy** to real-world software businesses*

The robot’s name was Unit-7. It moved carefully, spoke slowly, and paused too long between sentences — as if listening to something no one else could hear.

Most automation projects fail not because AI is weak — but because workflow reliability is underestimated. Emails arrive late. Humans respond days later. Systems crash. SAP has no API. If your automation cannot pause, retry, resume, and audit, it will eventually break.

Robotic Process Automation (RPA) promised fast efficiency gains by letting software “robots” mimic human actions. Artificial Intelligence (AI) promised smarter decisions by learning from data. Individually, both technologies delivered value — and also disappointment.

A Systems Approach Using Agent-Based, Network, and System Dynamics Models Modern border conflicts rarely resemble conventional wars. They are persistent, indirect, and system-driven, involving multiple actors, informal resource flows, and adaptive behaviors rather than open military confrontation.

Introduction Universities are investing heavily in digital transformation — learning platforms, AI tools, research analytics, and cloud infrastructure. Yet one critical system is quietly failing its users: the university library experience.

Scrap trading keeps factories efficient and recyclers running — but if you’ve ever dealt with it directly, you know the process is often slower and more manual than it needs to be. Prices are unclear. Coordination takes time. Too much depends on phone calls and personal contacts.

Manufacturers increasingly look to build or customize their own Manufacturing Execution Systems (MES) to gain better control over production, quality, and real-time visibility. While commercial MES platforms exist, many factories choose Python-based development for its flexibility, scalability, and strong ecosystem.

In manufacturing digitalization, confusion often arises around three core systems: ERP (Enterprise Resource Planning) MES (Manufacturing Execution System) SCADA (Supervisory Control and Data Acquisition)

Learning software development is often described as “just practice more” or “keep coding.” But anyone who has tried knows the truth: The pain is not lack of effort — it’s lack of structure. This article breaks down the real pain points people face when learning software development and, more importantly, how to solve them in […]

As AI models rapidly improve, many enterprise leaders are asking the wrong question:

After the popularity of “GPT-5.2 vs 5.1 Explained with Simple Analogies”, many readers asked a natural follow-up question:

AI models improve fast, but version numbers alone don’t tell the full story. What actually changed between ChatGPT 5.1 and ChatGPT 5.2? And more importantly — what difference does it make in real use?

Introduction Most businesses don’t start with custom software — and that’s perfectly fine. In the early stages, spreadsheets, SaaS tools, and ready-made platforms feel fast, affordable, and “good enough.” They help teams move quickly and validate ideas without heavy investment.

Computer Vision (CV) has traditionally depended on powerful servers, large GPUs, and abundant memory. But today, a major shift is underway: moving vision intelligence from cloud servers directly onto edge devices — phones, cameras, IoT sensors, drones, robots, embedded chips, and even battery-powered devices.

We help organizations modernize operations with AI-driven systems, smart automation, and integrated hardware guidance — without acting as a hardware dealer.

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ERP systems promise efficiency, automation, and better decision-making. But for many small and medium-sized enterprises (SMEs), the reality is more complicated: projects run over budget, customizations become unmanageable, and the total cost ends up far higher than expected.