Transportation, Logistics & Supply Chain Data Solutions

Predicting demand geography allows for more efficient shipping, produces higher sales, and eliminates losses from excess inventory.

Anticipating the ramifications of supply or demand shocks reduces the risk of decreased yield, supply loss, idle labor costs, and optimizes labor allocation.

Detecting changes in supplier and commodity costs allows for early risk mitigation and more precise forecasts.

Preparing for tariffs and/or geopolitical events results in reduced losses

Predicting currency and interest rate fluctuations and associated risks reduces costs, and enables hedging and mitigation strategies.

In competitive markets, maintaining a competitive advantage in purchasing and production leads to higher revenues. Conversely, losing supplies to competitors leads to reduced production capacity.

Efficient labour allocation reduces labour movement costs, idle labour costs, and ensures successful product delivery.

Optimising storage leads to better inventory control, more available products, and less labour required to move products.

Determining the sensitivity of disruptions to complexity allows for better planning around potential risks.

Minimising delivery mileage reduces fuel, maintenance, and labour costs.

Reducing ‘deadhead’ loads significantly decreases cost per mile