Logistics Management
Data Quality
at Forto
Superior data to give you full visibility and back your critical business decisions
Logistics Management
Superior data to give you full visibility and back your critical business decisions
The data framework
Our 6-step framework drives the ongoing improvements of our data quality. We first understand customers’ needs. Then, we collect, process, and optimize data using feedback loops and benchmarking.
Data treatment supported by AI
We design and build technology solutions that collect, cleanse, and process data. AI helps us in data validation and the detection of inconsistencies.
Team of experts
Our data science teams continuously work on optimizing our data quality, accessibility and reliability. They collaborate with our operations experts to ensure the data powers actionable customer insights. .
1
Together with our customers, we develop a data-quality framework focused on accuracy, timeliness and event coverage.
2
We gather data from diverse providers, including carriers, ports, terminals and industry partners, ensuring real-time data collection through over 100 integrations.
3
We monitor data from over 30,000 shipment events weekly for accuracy by employing automated self-correction systems and AI-based anomaly detection.
4
Our operations specialists leverage AI, automation, and digital checklists to maintain high data accuracy, with additional validation provided by human oversight.
5
Verified data is integrated into Forto’s Transport Management System and customer platform, empowering decision-making and streamlined logistics management.
6
We maintain continuous feedback loops with customers to understand their changing needs and adapt our data quality framework to exceed industry standards.
Get in touch to learn more about data at Forto and how it can help you make better business decisions