What does your data say about you? (And why it's worth listening)
Most business owners in Lublin treat data like a redundant obligation. They save sales in sheets, collect invoices, and forget about them as soon as they are sent to the accountant. Meanwhile, in these files is hidden an exact plan for how to earn more with less effort.
Where is your money hiding?
In a small construction warehouse on Mełgiewska Street, with whom we collaborated in autumn, the owner had 143 spreadsheets from the last three years. Each contained order data, but no one tried to connect them into a single whole. After two weeks of our analysis, it came to light that 14% of the stock in the warehouse were so-called dead states that had been lying there for at least 9 months. These figures weren't just dead records; they showed that the company was wasting about 3,200 PLN monthly just storing products that no one wanted to buy.
The problem is that without proper tools, you only see what's happening today in front of your eyes. Data allows you to look back and catch errors that aren't visible in the daily rush. Numbers don't lie; they are merely waiting for someone to draw the right conclusions from them. In the case of the mentioned warehouse, it was enough to shift the budget from unprofitable products to those that rotate in 12 days to increase financial liquidity by 22% in the following quarter. Facts on the table: this is not magic, it's just order in the tables.
Numbers don't lie; they are merely waiting for someone to draw the right conclusions from them.
Neural networks are not science fiction
Many people still think that artificial intelligence is fun for giants from Silicon Valley. This is a mistake that causes local entrepreneurs to lose distance from competitors. At Lublin Logic Services, we use neural networks for very down-to-earth tasks, such as predicting how many customers will visit your service point next Tuesday. For a certain transport company from Lublin, we created a simple model that analyzed 87 routes from the last 7 months. The result was surprising for the boss himself: the algorithm showed that changing the order of two stops saves an average of 43 minutes of driver work per day.
Such small improvements add up to powerful amounts on an annual scale. If you have 5 drivers and each of them saves 40 minutes a day, then suddenly you gain additional working hours without hiring new people. We check facts, we don't guess – that's why our approach to neural networks is based on solving real blocks in your business. We don't build complicated systems that no one understands. We create tools that, after a 3-hour training, allow your employee to make a better purchasing or logistical decision.
How to start analysis without spending a fortune?
You don't have to immediately buy servers for 50,000 PLN or hire a staff of analysts. (By the way, I was recently at a company that bought an expensive system, and then no one used it because the interface was too hard). The most important thing is the first step: collecting what you already have in one place. In March 2024, we helped a small bakery that employs 8 people. Instead of implementing a large ERP system, we focused only on bread returns from 3 different locations in the city. It turned out that a simple change in baking hours, based on hard historical data, reduced losses by 18% in the first 34 days.
The savings amounted to about 1,900 PLN monthly, which for a company of this scale was a significant amount. The investment in our analysis paid off for them in less than two months. We clean up the data so you can focus on running the business, not poring over charts. Often it's enough to export sales history from your warehouse program to a CSV file and subject it to processing. You already possess most of the valuable knowledge; it's just scattered between emails, notes, and old invoices.
You already possess most of the valuable knowledge; it's just scattered in old files.
What to avoid when working with data?
The biggest trap is trying to analyze everything at once. Business owners often want to have a "full overview of everything" right away, which results in information overload and lack of any action. Instead, it's better to choose one specific problem – for example: why do customers leave after the first order? In one of our projects for a car service, we discovered that 31% of customers didn't return because no one sent them a reminder about the next inspection after 11 months. This was not the fault of the mechanics, but the lack of simple automation in the database.
Another mistake is buying ready-made boxed solutions that promise the world. Every company in Lublin has its own specificities and data collected in different ways. What works in an online store will not work in a production plant near Lubartów. We always start with an audit of what you actually have and tell you straight if there's too little data to draw reliable conclusions. We are not the cheapest on the market because reliable analysis takes time, but our recommendations are based on evidence, not on the boss's or salesman's hunches.
Your plan for the next 5 days
If your company generates at least 12 transactions a day, it's time to stop guessing. Start with a simple task: collect all sales data from the last half-year in one folder. You don't have to organize them – that's what we're for. At Lublin Logic Services, we offer a preliminary verification of data quality, which usually lasts from 4 to 6 business days. We will then tell you if any dangerous trends or chances for quick savings are visible in your figures. No fluff and no complicated technical terms.
Our goal is to make you, when opening your company in the morning, know exactly where you stand. Do you have enough goods? Are your salespeople closing 23% or maybe 47% of offers? Will there be enough for all fees in a month? Data gives peace of mind that you cannot buy for any money. If you want to check what your company is hiding in its tables, we invite you to a short talk. We will clean up the data and show you facts that you might have had no idea about for years.
