Artificial intelligence that discovers the potential of data
Artificial intelligence is not theory, but practical tools that generate real profits. We specialize in building product recommendation systems that increase sales, demand forecasting models that optimize inventory, and intelligent automations that personalize communication with your customers.
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When are intuition and ordinary analytics not enough?
In the digital age, the greatest competitive advantage is built on the intelligent use of data. At MQS, we help companies move from simple reporting to advanced forecasting, pointing out problems that can be solved by artificial intelligence.
Inaccurate forecasts and planning
Planning sales, demand, or inventory levels relies on historical data and intuition, leading to underestimation or excessive inventory and financial losses.
Lack of personalized offer and communication
All customers receive the same, mass messages and product recommendations. This leads to low engagement, lower cart value, and loss of customers to the competition.
Slow and inefficient data analysis
Your team spends weeks manually analyzing huge data sets in search of trends and conclusions. The process is slow, costly, and prone to human error.
Lost opportunities for cross-selling and up-selling
You are not using the potential of customer data you possess to proactively propose additional products and services, thereby losing the chance to increase revenue.
Reactive instead of proactive action
You find out about problems, such as the risk of customer churn or the risk of unpaid invoices, only when they have already occurred. You lack tools for early prediction and prevention.
Unused potential of text data
Your company collects huge amounts of data in text form - customer reviews, emails, surveys - but is unable to automatically analyze them to understand sentiment and draw valuable conclusions.
Practical applications of artificial intelligence
For us, artificial intelligence is not magic, but a precise tool for solving specific business problems. Below we present key areas in which our machine learning models and AI algorithms bring real, measurable benefits to clients.
Intelligent recommendation systems
Every customer is different, so why should your offer be the same for everyone? Mass, generic product proposals lead to low engagement and lost opportunities for cross-selling and up-selling. Personalization on a large scale is the key to building an advantage in modern commerce.
We design and implement intelligent recommendation engines that analyze user behavior in real-time - their purchase history, viewed products, or cart contents. On this basis, our machine learning algorithms automatically match and display personalized product proposals that are most likely to interest a given customer.
The effect is a significant increase in key e-commerce metrics: cart value, conversion, and retention. By providing customers with accurate and helpful recommendations, you not only increase sales but also build their loyalty and positive experiences with your brand.
Technologies and tools
This is not just a list of tools we use - these are the technologies we specialize in. We have in-depth knowledge of their capabilities, which allows us to build advanced and reliable solutions, fully utilizing their potential.
Artificial Intelligence and Machine Learning
We use AI models for data analysis, forecasting, and creating intelligent solutions.
Artificial intelligence that minimizes risk and accelerates business start - how?
Implementing AI is a strategic decision that raises many questions. We believe in demystifying this technology, which is why the MQS team has prepared answers that will help you understand how it can realistically support your business.