AI Solutions

Siemens AG partnered with Scoutbee to leverage its AI-powered supplier scouting platform, significantly enhancing their procurement processes by automating the identification and evaluation of suppliers. This collaboration enabled Siemens to efficiently pinpoint high-quality suppliers globally, reducing their workload by up to 90% and markedly speeding up decision-making times. Scoutbee’s platform… Read more: AI-powered supplier scouting helps Siemens procurement reduce time and workload

TechData, a wholesale company with a revenue of $35 billion, implemented a global solution to standardize credit management workflows, leading to significant savings and efficiency gains. By integrating a system that automates credit scoring, monitoring, and currency conversion for financial reporting, the company achieved a 120% improvement in credit department… Read more: Recurring savings through global standardisation of credit workflow

GuideCom AG collaborated with Buildsimple to transform the time-consuming manual credit application process at Sparkassen, reducing processing time per transaction from over 10 minutes. By utilizing AI to automate document handling such as ID verification, payroll, and tax documents, the solution integrates seamlessly into GuideCom’s service cockpit via standardized APIs.… Read more: Utilising synergies: one solution for all savings banks. Automation of the loan application process

Our client, a major manufacturer and distributor of outdoor equipment, required a centralized platform for all its data to enhance advanced analytics of customer and business data. Niologic implemented a data warehouse based on Google BigQuery and developed a time series analysis for shipping, along with a machine learning algorithm… Read more: Time series analysis for shipping outdoor equipment through data warehousing

Our project focused on automating the information extraction process from various data sources such as textual documents and database tables, utilizing Named Entity Recognition (NER) and advanced Language Models (LLMs). The main goal was to create an automated solution that could efficiently extract relevant information using NER and enrich metadata… Read more: Automating Information Extraction with Named Entity Recognition and LLMs

At Leipzig University Hospital, haematologists faced the challenge of identifying relevant research papers for rare blood cancers and individual patient cases from the flood of new scientific publications. The clinic partnered with Merantix Momentum to develop an NLP-based solution that automatically filters and ranks clinical publications according to their relevance… Read more: AI-supported decision support for haematology