Logistics Optimization

What is Logistics Optimization?

Supply Chain Optimization

Minimizing costs with Logistics Optimization while meeting ever-higher consumer expectations is an inherently spatial challenge. See how location data helps along the way.

Route optimization

The problem of vehicle routing (VRP) isn't just finding shorter routes or fewer routes, it's a strategic way to reduce costs and the carbon footprint of your fleet. By considering the spatial components in supply chain networks and gaining more visibility into your assets, you can create more space-compact routes for your fleet to reduce fuel and maintenance costs, using new data streams such as road traffic and weather as part of your constraint-based optimization.

Last mile logistics

Real-time on-demand transportation challenges are increasing as consumers continue to adopt new food delivery and grocery delivery services. Unlike traditional VRPs, users expect an immediate response and accurate ETAs as part of the customer experience. Whether you need to look at historical data to optimize passenger location or ghost kitchens, or if you're planning to expand into new markets with Logistics Optimization, you can do it.

Demand Modeling

With rapidly evolving customer preferences and an unprecedented pace of change in regulation, being able to accurately predict demand in existing and new markets can help your organization better monitor resources and cut costs. With Logistics Optimization usingspatial models, you can simulate demand enrichment with event- or weather-related data streams, providing insights to predict and test future demand scenarios.

System Requirements:

CPU: 1.8 GHz dual core processor

RAM: 2 GB

HDD/SSD: 50 GB of free space on main drive

Operating system: Microsoft Windows 8 32-bit, Microsoft Windows 7 32-bit, and Microsoft Windows Vista 32-bit

Resolution: 1024×768