Most discussions about AI agents start from the wrong premise: that an agent should be intelligent, reason autonomously, and make decisions. This is precisely what makes most agents unfit for real business use. In this pricing system, the agent does…
At this point, we have a disciplined conversational agent that recommends hotel room prices backed by a machine learning model trained on historical hotel data. No intuition, no heuristics, and no AI hallucinations. While this setup already delivers strong pricing…
Now that we have a conversational agent that understands natural language and can provide a simple, heuristic-based, hotel price recommendation, we need to take the solution one step further: we want the recommendation to be based on the actual hotel…
Let’s build an agent for optimizing the pricing model of a hotel. Instead of fragmented decision processes and data, let’s create a system to maximize occupancy and revenue. This system should adapt to the hotel’s data and the market pricing…
What if you had to reply to more than 200 emails every single day? During one of my training sessions, a participant caught my attention — or rather, he didn’t pay attention. He spent most of the day staring at…
I started my professional journey in finance with Excel. Like millions of others, I learned how to import and structure data, automate processes, and build financial models that became the backbone of decision-making. Excel was something you picked up on…
Alert! This is happening — and you need to act now. Forget waiting for the next management meeting or the weekly report. This alert system monitors your most critical KPIs continuously — and notifies you the moment something important happens.…
In the previous article, we trained a predictive model in Python to forecast product demand based on daily features like store ID, price, discounts, and promotions. We also saw how to operationalize that model locally using Azure Functions — turning…
In the previous article, I demonstrated how to train a machine learning model in Python to forecast daily product demand for a retail business. Now it’s time to take that model from a notebook into a real-world environment — where…
Inventory management is a critical challenge for most retail businesses. Overstocking ties up capital and increases the risk of obsolescence. Understocking, on the other hand, leads to lost sales, customer dissatisfaction, and potential long-term brand damage. That’s why accurate demand…