Automation and artificial intelligence are transforming how companies operate today, from marketing to accounting. At an event, Dataconcept showed how these technologies work in commercial practice – including a live demonstration from a jewelry store. The key is personalization and smart processes that deliver relevance to customers and efficiency to companies.
Innovation that impacts the entire company
Dataconcept designs projects so that innovation is not just a "module" but an intervention into key processes – from sales and marketing to internal settings. In marketing, it's about automated yet personalized campaigns, where even an ordinary e‑mail goes out in hundreds of unique versions based on recipients' histories and needs. Sales, in turn, benefits from automating communication from opportunity identification all the way to sending the offer, with the salesperson stepping in mainly for the final price negotiation. In corporate processes, invoice processing is an example: the system automatically extracts data from PDFs, files the document in the correct repository, records it in the accounting system, and the accountant simply reviews and approves.
How to sell a unique piece of jewelry online
A Bratislava jeweler with five locations decided to move its business online, but encountered an unusual problem: approximately 95 % of the goods are single-piece items. From tens of thousands of products, customers couldn't make a choice because each one is different and comparability is weak. Preference collection became complicated, and even shopping carts often ended up with just single items. The result was an excess of options and a lack of confidence in decision-making.
The solution was a simple selection guide that asks about basic choices: am I buying for myself or as a gift, who the product is for, what type of jewelry it is, what gold is preferred, and what the budget is. After consenting to contact processing, the system combines these answers with behavioral data from the website and transaction history. Artificial intelligence selects items that best match the stated preferences and also takes into account purchases by people with similar behavior. The customer thus receives not an "endless catalog" but several relevant suggestions ready to click.
From recommendations to personal services
Similar principles can be used outside e‑shops as well: predictive analytics tailors content and services on portals according to what the user is viewing and what they have dealt with in the past. Virtual assistants can help too – Dataconcept has experience with chatbots for the public sector (for example, Taxana) and commercial environments (for example, Veolia Energia), as well as with process automation. An important component is cybersecurity, which monitors threats directly on the web and keeps digital operations safe.
