Legacy systems, disparate data, manual processes and lack of visibility? It’s like we already know you.
In the world of logistics, it can feel like slowing down long enough to improve processes or systems would be a detriment to daily operations. We’ve worked with clients to outline improvement roadmaps to address the root causes of your pain points and knock them out methodically with little to no downtime.
We categorize our approach in four key areas: disparate data, highly manual processes, legacy system dependency, and lack of visibility. Our team works with you to map processes and technology, then outlines projects to aggregate your data, eliminate paper and enable automation where possible.
Logistics Use Cases
Create Usable Structured Data
Data that is migrated and structured into a format that works with your systems makes it more accessible to drive your business.
Think about how many systems you log into per day. Having too many systems and tools to run your organization is not only overwhelming but also time-consuming, confusing, and expensive.
Enable Straight-Through Processing
Never enter the same information twice. Establish automation in a way that minimizes manual tasks and having to work with multiple systems, providing you the ability to focus on more business-critical tasks and exception handling.
Automate Manual Processes
Workflow functionality, whether or not it’s being used outside of an existing solution or LOB, provides the ability to exchange information between external data sources and automates processes regardless of what triggers it.
Automate Bills of Lading Processes
Stop fighting your shipping processes. With an electronic bill of lading (eBOL) solution, you can streamline your processes, digitize and automate invoices, enable 24/7 mobile access and increase visibility across the board.
Augment Legacy TMS Systems
TMS Augmentation provides additional automation capabilities to your TMS is lacking. This can include automated data exchange, content management capabilities, easier reporting, and data consolidation.