AI Chatbot speeds up work with HR data
The implementation of an AI chatbot for HR reporting in the Azure environment provides fast and secure access to data without the need to manually open reports or contact HR analysts. The project, carried out in collaboration with Aspecta, simplified the work of managers and HR departments and strengthened the culture of data-driven decision-making.
Smart Maintenance Assistant – conversational search in production line technical documentation
The innovative conversational assistant for maintenance provides technicians with instant access to knowledge from internal manuals, procedures, and drawings. The AI- and semantic search–based solution shortens diagnostic time, reduces expert workload, and speeds up issue resolution.
AI Smart Assistant on AWS for effective customer support
Farby.sk, a leading Slovak retailer of paints, coatings, and accessories for DIY enthusiasts, transformed its customer support by deploying an AI Smart Assistant built on the AWS platform. The solution, developed in collaboration with Aspecta, has automated more than 60% of common requests, accelerated responses by more than 90%, and improved customer satisfaction by 12 CSAT points.
Transforming historical email archives into a Generative AI knowledge base
A major retail chain in the office supplies, electronics, and printing services segment has transformed its historical email archives into a searchable knowledge database powered by Generative AI. The implemented solution (AWS Bedrock + OpenSearch Vector Engine) has significantly accelerated customer request resolution, improved support quality, and created a foundation for further data-driven initiatives.
AI Smart Assistant on AWS: Personalized Shopping Experience
A leading regional retailer of bathroom and kitchen equipment transformed the digital customer experience using AI Smart Assistant built on AWS. The solution delivered measurable improvements in online conversions and customer satisfaction, and laid the foundation for data-driven omnichannel retail.
Automation of the processing of the product documentation
This case study describes the implementation of a serverless AWS solution for automated processing of technical documents (data sheets, catalogs, certifications) for a leading Slovak distributor of electrical installation materials and industrial automation. The solution enabled a dramatic acceleration in the processing of products into the B2B catalog, improved data quality, and reduced operating costs.
Automating order classification using AI
A leading manufacturer of flexible packaging films in Central Europe (the "Client") implemented an AI solution for the automatic classification of orders into production compatibility groups. The project, carried out in collaboration with Aspecta, uses AWS services and has improved production planning efficiency, accuracy, and scalability.
The implementation of Generative AI for Skill Management Platform Solvedio
The integration of Generative AI solutions into the Solvedio platform transformed the traditional management skills for an intelligent, automated and context-conscious system. The AWS Bedrock solution streamlined document processing, skill matrix creation, and team building, delivering measurable business benefits for HR and project management.
How Aspecta's NLP solution is changing public procurement
Public procurement faces many challenges, in particular procedural and time inefficiencies. However, by harnessing the power of multilabel classification algorithms, semantic similarity analysis, and big language models, governments can achieve revolutionary improvements in this area. In partnership with Kinit, we are at the forefront of this transformation. By leveraging advanced natural language processing (NLP) technologies, we are bringing innovation, progress and efficiency to the world of public procurement. Find out how we're poised to change the rules of the game and why we believe our collaboration will usher in a new era of efficient and modern procurement.
Quality control based on artificial intelligence - the future of troubleshooting
Každé odvetvie, od mikročipov cez smartfóny až po automobily a potraviny, sa musí pri výrobe tovaru starať o udržanie kvality a výkonu. Nízka alebo nekonzistentná kvalita môže viesť k dodatočným nákladom, nadmernému odpadu, stiahnutiu produktov z trhu, zvýšenej miere reklamácií a pod. Kontrola kvality je tak základnou súčasťou väčšiny výrobných procesov. Manuálne postupy kontroly kvality sú však často časovo náročné a náchylné na chyby. S cieľom uspokojiť rastúci dopyt po vysokokvalitných produktoch sa vo výrobných linkách stáva nevyhnutným používanie inteligentných vizuálnych kontrolných systémov založených na strojovom učení a umelej inteligencii.
Machine learning in industry: applications, benefits and challenges
Ešte pred pár rokmi sme sa s umelou inteligenciou mohli stretnúť len v sci-fi filmoch. V súčasnosti je už ale všetko inak a umelá inteligencia (artificial intelligence – AI) sa stáva bežnou súčasťou našich životov. Najmä segment strojového učenia (machine learning – ML) sa stal dôležitým prvkom digitálnej transformácie v priemysle a je kľúčovým pri snahe využiť hodnotu veľkých dát. Mnoho podnikov očakáva, že práve strojové učenie sa stane faktorom ovplyvňujúcim ich úspech a konkurencieschopnosť v budúcnosti.