Disparate systems and manual processes often lead to inefficient routes and loads, and a bad experience for carriers and shippers. Transportation and logistics organizations, both large and small, can leverage the power of recommendation engines to assess a range of variables and help employees make smarter decisions when matching loads.
RevUnit partners with transportation and logistics leaders to optimize load matching for more speed and profitability through machine learning.
Every organization we work with is different in their strategy, systems, team makeup, and data needs, so there’s not one single approach to building a custom data solution. Because of that, our teams are experts in the data journey — from modeling raw data to data visualization and building products that drive action. Once we have an understanding of your needs, we’ll create a customized solution to fit.
We won’t just build a product; we will work with your teams and systems to get the data necessary to surface actionable insights, faster.
Whether your load matching system is used by dispatchers or self-serve, we can create a machine learning model and interface that will surface the best matches for carriers and shippers based on historical data.
Go beyond warehouse management — improve your warehouse efficiency by delivering actionable insights to managers.
Digitize your route and tracking to gain real-time shipment visibility, address unforeseen issues from loading to unloading, and maximize OTIF.
Better connect shippers to carriers, cutting out manual processes and optimizing truck capacity.
Identify, validate, then deliver solutions for driving data innovation within your organization — all within time-boxed cycles.
Whether your data project involves building a data model, a data visualization, applying machine learning, or data integration, taking an agile approach will get you better results, faster.
RevUnit CEO Michael Paladino recently sat down with Matthew Harding, SVP of Data Science at Transplace, for a dynamic conversation around data integration.
Data intelligence is simply about driving the right insights, to the right people, at the right time — and companies have an advantage if they can move fast on AI and ML.