AI Solutions

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

JIFFY.ai significantly enhanced the onboarding process for a global professional services firm by automating 80% of the activities, which streamlined the procedure for both HR teams and new hires. This automation reduced the onboarding time from three hours to just 17 minutes and allowed the HR team to shift their… Read more: Automation Boosts Efficiency in Employee Onboarding

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

Comma Soft and leadity have collaborated to streamline CSRD reporting for companies, leveraging generative AI to automate the generation of sustainability reports in compliance with the ESRS standard. This solution simplifies the complex task of documenting sustainability efforts by semantically searching and structuring data, thus minimizing manual data handling and… Read more: Faster sustainability reporting with leadity & GenAI

Scotts Miracle-Gro, recognizing the need to streamline its manual, spreadsheet-based account reconciliation process to ensure SOX compliance, turned to BlackLine to automate the procedure. This shift to automation enabled by BlackLine, an SAP partner, has standardized account reconciliation across the company, significantly reducing time spent on manual reconciliations and enhancing… Read more: Finding a better way to demonstrate SOX compliance was the main reason to look into automating its account reconciliation procedures

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

TTX Company, a North American leader in railcar pooling, faced challenges with increasing document volumes due to its growing operations. To enhance efficiency, TTX partnered with Kognitos in 2023 to automate financial processes like scrap weight ticketing and accounts payable in Oracle, significantly reducing manual labor. The automation improved process… Read more: Data Processing – Simplify Orchestration Of Conditional Dw Data Loads to Automate the input of data from scrap weight documents into Excel and subsequent transfer into Oracle

Riparo GmbH faced challenges managing a high volume of diverse workshop invoices that had to be manually entered into their system. To streamline this process, they partnered with Buildsimple to develop an AI solution that automatically reads invoices from over 100 different formats and structures the data into JSON files… Read more: Vehicle claims management: Automatic reading of workshop invoices

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