AI Solutions

Berlin 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

In collaboration with MOSCA, we developed an AI tool designed to optimize the sequencing of parts in manufacturing processes. This AI application significantly enhances operational efficiency and resource utilization by reducing machine set-up times. The technology focuses on smart sequencing which allows high priority orders to be scheduled first, thus… Read more: SMART SEQUENCING FOR LOW SET-UP TIME

Diebold Nixdorf, a leader in IT solutions for retail banking and commerce sectors, has implemented AI-driven service engineering to enhance the efficiency of ATM service operations. Initially, ATM malfunctions were identified using basic rules without detailed action plans for technicians. By leveraging AI to analyze historical ATM data and service… Read more: AI-supported service engineering

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

Westaflex, a German family-owned company specializing in climate and ventilation technology, faced challenges in manual production scheduling, which affected efficiency due to its complex requirements and multiple setup processes. To address this, they implemented an AI application that optimized the sequencing of production orders using data from ERP systems and… Read more: AI-supported production planning

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