Task: Plan transport routes quickly and efficiently
One of our customer's core processes was a largely manual task: employees spent a lot of their time planning truck routes as efficiently as possible. A task that each user solved differently. Our goal was to standardize this process and thus save valuable resources.
Solution: Flexibly deployable prototype for automation
With the involvement of data scientists, internal business process analysts, and the users who would work with our solution, we developed an automation prototype that could be seamlessly integrated into the company's IT infrastructure.
We took over all phases of the project development - from the needs analysis to the planning and development of the prototype to the complete system integration and training of all employees who were to work with the finished solution.
Result: More efficient and user-friendly processes
We developed a reusable data science model that can be integrated into any infrastructure with little effort. Analyzing UI usage at an early stage helped us identify and integrate the most important functions in advance.
When it comes to automation processes, it is not always easy to reconcile the company's goals and the users' wishes. However, rapid iteration with fast feedback loops resulted in motivated prototype users and a solution that everyone is happy with.
Goals achieved
Conducting a user survey and an in-depth needs analysis beforehand
Planning incl. UI/UX Strategy, Dev Ops, Model Wrapping and Data Engineering
Development of an automation prototype and integration into the IT system
Training and consulting of the Data Scientists as well as all employees on site

Standardized data management creates basis for reporting

IBM Cloud Pak for Data – Test-Drive

IBM Cloud Pak for Data Accelerator

Part 1: Detecting Truck Parking Lots on Satellite Images

State of Fast Feedback in Data Science Projects

Boosting speed of scikit-learn regression algorithms

Part 2: Detecting Truck Parking Lots on Satellite Images

Part 1: TIMETOACT Logistics Hackathon - Behind the Scenes

Creating a Cross-Domain Capable ML Pipeline

Interactive online portal identifies suitable employees

vdek introduces new Data Warehouse solution

Demand Planning, Forecasting and Optimization

Talend Real-Time Big Data Platform

Operationalization of Data Science (MLOps)

Talend Application Integration / ESB

Talend Data Integration

IBM Cloud Pak for Automation

Decision Optimization

IBM Cloud Pak for Data

Conception of individual Analytics and Big Data solutions

IBM Cloud Pak for Application

Talend Data Fabric

IBM SPSS Modeler

IBM Netezza Performance Server

IBM InfoSphere Information Server

Business Intelligence

IBM Db2

IBM Watson® Knowledge Catalog/Information Governance Catalog

Data Science, Artificial Intelligence and Machine Learning

Dashboards & Reports

IBM Watson Studio

Microsoft Azure

Machine Learning Pipelines

Strategic Impact of Large Language Models

How to gather data from Miro

Onboarding solution of TIMETOACT

License Plate Detection for Precise Car Distance Estimation

Common Mistakes in the Development of AI Assistants

Flexibility in the data evaluation of a theme park

ChatGPT & Co: LLM Benchmarks for November

ChatGPT & Co: LLM Benchmarks for September

Talend migration in record time

Digitized processes increase efficiency

Recertification solution of FI-TS

Introduction of Jira to Hamburger Hochbahn

ChatGPT & Co: LLM Benchmarks for October

Central service monitoring at Vodafone

24/7 support guarantees stable operation of the intranet

Mix of IASP & ILMT support for optimal license management

IBM Planning Analytics mit Watson

Smarter mobility with the portal switchh

8 tips for developing AI assistants

Automation lays the foundation for smooth archive changeover

The digital customer file with IBM Content Manager
N-ERGIE bypasses costly IBM audits with IASP program
