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Solutions

Transportation, Logistics &
Supply Chain Data Solutions

INTRODUCTION

The potential value to your Transportation, Logistics & Supply business is limitless.

Machine learning and advanced analytics offers numerous benefits to organizations and departments focusing on transportation, supply chain and logistics. By analyzing data from various sources such as sensors, GPS devices, and social media, machine learning algorithms can provide real-time insights into inventory levels, shipping routes, and customer demand.
BENEFITS

How can Calligo help with Transportation, Logistics and Supply challenges?

Optimise Mileage

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

Opportunistic Loading

Reducing ‘deadhead’ loads significantly decreases cost per mile.

Demand Forecasting

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

Economic Shock

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

Supplier Degradation

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

Tariff Impacts

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

Currency and Interest Rate Fluctuations

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

Inventory Optimisation

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.

Delivery Optimisation

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

Optimise Product Storage

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

Supply Chain Complexity

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

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