AI Solutions
- Ideal Tour Matchings for Better HealthBerlin Recycling partnered with AI developers to create a system that improves the assignment of drivers to waste collection tours, taking into account their health preferences and route desires. This AI-driven tour matching system not only increases driver satisfaction by aligning work assignments with personal health needs but also reduces… Read more: Ideal Tour Matchings for Better Health
- Recurring savings through global standardisation of credit workflowTechData, 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
- Utilising synergies: one solution for all savings banks. Automation of the loan application processGuideCom 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
- Time series analysis for shipping outdoor equipment through data warehousingOur 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
- Automating Information Extraction with Named Entity Recognition and LLMsOur 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