Valorix, a Canadian company specializing in waste management logistics, faced a major challenge in organic waste collection and disposal. InnovLOG, the Québec Institute for Innovation in Logistics, stepped in to streamline Valorix's routes. By using anyLogistix for route optimization in logistics, InnovLOG successfully managed to cut costs and emissions, improving Valorix's efficiency and corporate image.
A leading Colombian company in food logistics needed to organize its complex distribution network operations for 10 years. They sought the expertise of Decisiones Logísticas, a consulting firm, to address the challenge. Through a three-phase approach, the team achieved an expected cost reduction of around 3%, demonstrating the advantages of supply chain simulation modeling.
Weekends Only exists to provide quality and affordable furniture for every home and budget. A top priority among Weekends Only’s operational challenges is to continuously optimize the distribution of procured furniture from vendors all over the world to its warehouses and retail stores in the United States. The logistics team at Weekends Only wanted to explore the cost-benefit of multi-modal transportation, via a combination of ocean, barge, and truck, through the Port of New Orleans and the Mississippi River.
A multinational FMCG corporation wanted to review its logistics network and inventory policies and perform supply chain optimization. Seeing opportunities in digital distribution network optimization, they created a computer model of the existing network and test business assumptions in a risk-free environment to create a plan for implementation of best-performing strategies in real life.
A large European home improvement goods manufacturer was challenged to move one of its plants to another city due to an increase in rent. The supply chain analysts had three possible places for relocation. They had to choose one based on client geography and locations of other production facilities and warehouses.
Wolf, a leading system provider of heating, ventilation, and solar technology, needed to optimize their logistics operations in Europe. They collaborated with a consulting company to improve their supply chain efficiency through strategic network design. The project explored various locations for new distribution centers and tested multiple scenarios to find the best one for supply chain cost reduction.
Agricultural supply chains face unique challenges that logistics analysis can solve. See how the University of North Texas uses anyLogistix to optimize transportation, reduce waste, and improve efficiency. This supply chain optimization use case demonstrated a potential cost reduction of 6%, translating into millions of dollars saved.
