Optimizing logistics networks
Analyze an integrated set of sites and dynamic market potential to see where to expand or reduce investments. Conduct advanced suitability analysis to understand demand trends and optimally site distribution centers, logistics parks, and warehouses. Identify the most suitable sites from a set of candidates, as defined with a set of individually weighted criteria.
Design well-defined, market-specific territories that optimize processes and improve response times and customer satisfaction. Define territories based on forecast numbers, by tonnage, and by industry. Locate underperforming zones and determine why they underperform, predict how proposed changes will impact performance, and use multiple data sources to allocate the best network resources.
Optimize fulfillment coverage by modeling demand and capacities to quickly assess service levels at any location and expose gaps automatically. Use machine learning to run forecasts and plan for business peaks at different times of the day, week, or year to gain insights that will inform customer outreach efforts before failure occurs.
Aggregate and digitize network data for end-to-end logistics task modeling to analyze and propose improvements across the global supply chain operations. Simulate the coordination of movements using all logistics assets and influencers to visualize optimal network design and optimize processes not visible in traditional supply chain management.
