... Configuring a supply and distribution network Decisiones Logísticas analyzed alternatives to configuring a Colombian food company's supply and distribution network using anyLogistix software to perform Greenfield Analysis (GFA) and Network Optimization (NO) experiments. The project included characterization, modeling, and implementation stages. The main findings focused on production volume allocation and flow from plants. Other results suggested opening new distribution centers, reallocating customers,...

... the most notable benefits included: Time savings: Scenario creation dropped from days to minutes. Improved data quality: Automated validation processes reduced human error. Eliminated Excel dependency: Teams no longer had to manage conflicting spreadsheets. Consistent inputs: Standardized data structure was applied across 12 countries. Scalability: The framework could support optimization efforts across regions with varying complexity....

... permissions transparent, which is the best practice in collaboration in supply chain management. Seamless scenario sharing Collaboration goes far beyond shared projects. The Professional Server version allows users to transfer scenarios between projects —no more exporting to Excel or manual data handling. User A and user B both have anyLogistix Professional Server. User A creates a new project and decides to give access to it to user B. Both users now share the same project. Team members can import complete ...

... experiments for balancing efficiency and resilience in last-mile logistics. Watch the full presentation from the anyLogistix Conference 2025 , delivered by Dr. Maheshwari from IIM Jammu. Transform last-mile operations with anyLogistix Last-mile delivery is no longer just a logistics concern; it has become a critical driver of customer satisfaction, brand reputation, and overall supply chain performance. Yet it also remains the most expensive and complex part of logistics operations. With the new last-mile ...

... decision-making . Analytics for supply chain cost optimization Companies seeking to reduce supply chain costs effectively need to gather, measure, and evaluate historical, present, and forecasted performance using supply chain analytics . There’s no other effective way around it. Predictive and prescriptive analytics combined is a powerful tool for cost optimization. Predictive analytics gives insight into what will happen in the future and helps identify risks and opportunities. While it alerts ...