Recommendation Engines
Increase customer satisfaction and engagement by leveraging deep learning engines that ensure seamless and personalised experiences for the users.
arrow_circle_right HOW WE CAN HELP
We are drowning in information. How do you present the right content for your users?
Our team can support you with the design and implementation of Recommendation Engines. Enable your users and customers to discover new products, the most relevant content, treatment or action resulting in sales and engagement boost on your platform.
Hear from our expert
Recommendation Engines are one of the most powerful tools to improve customer satisfaction and loyalty by providing personalised experiences. Starting with simple signals such as product purchases can quickly create success stories to build upon. As you collect more data from user views, likes, comments, or context features like weather, you can enhance your recommendations and drive revenue for your business.
Product Recommendation
Modern Ecommerce businesses often operate with thousands of products to satisfy customer needs. At the same time, it is increasingly difficult for customers to find what they need. Using deep learning techniques, we can help business build Recommendation Engines that will personalise user experience and make it easy to discover new products relevant to them.
Content Discovery
Living in the digital age, we are flooded with digital content. With Recommendation Engines, we can easily tailor the digital experience to any platform, from music streams, movies to watch, articles to read or any other content to check. We can even connect two data types and recommend the best candidates for a job offer.
Our demo: Movie recommendation
Next Best Action
Customers are getting used to well-designed products that are easy to use. In order to drive even more value for them, companies need to predict customer behaviour and proactively suggest the next best action. This could be a recommendation of an app that could be used within a specific context or a feature that could be useful in a particular moment of customer interaction with the system. All of that should be delivered in near real-time to be relevant.
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Meet our experts
Drawing on my background in IT and business, I managed analytics projects across various sectors, including telecommunications, retail, automotive, and healthcare. My experience included developing predictive models that drove decision-making, scaling data science teams to support startup growth, and leading comprehensive digital transformation initiatives for large corporations. I have a proven ability to translate complex technical solutions into actionable business strategies, ensuring they align with organisational goals. In addition, my postgraduate management studies, based on an MBA curriculum, have honed my leadership, strategic planning and effective communication skills, enabling me to deliver tangible results and drive sustainable business growth.
Ex-McKinsey and EMBA graduate. GCP-certified, providing board-level strategic AI advisory. I partner with C-suites at global enterprises to scope, de-risk, and design large, production-grade (agentic) AI systems. After McKinsey, I led analytics and AI in high-growth startups and scale-ups – including healthcare, ecommerce, and finance – turning strategy into shipped capabilities like AI-enabled MarTech platforms, product engines, and decision platforms. In pre-sales and executive forums, I run discovery and architecture sessions, advise on implementation approaches, and align stakeholders to accelerate enterprise roadmaps.
As a Senior AI Consultant at Spyrosoft Solutions, I draw on a hands-on technical background in machine learning to translate complex business challenges into secure, scalable AI strategies.
Throughout a wide variety of experiences across the tech landscape, I have built broad expertise in designing advanced AI solutions for highly demanding domains—primarily Automotive, Healthcare, Industry, and Defence. My technical focus ranges from engineering complex computer vision to designing secure agentic AI systems.
A key part of my approach involves facilitating AI discovery workshops, where I help organisations assess their technological readiness, prioritise high-impact use cases, and build actionable roadmaps that safely accelerate AI adoption and drive tangible business value.
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Tomasz Smolarczyk
Director of Artificial Intelligence