One of the leading manufacturers in the USA, ICP Group, sought the expertise of consulting firm SimWell to analyze its supply chain design and address issues related to supply chain cost reduction, transportation, and distribution. By creating a digital twin, the company has been empowered to make data-driven decisions without relying on external consultants. This enabled ICP to significantly reduce uncertainty, create a sustainable path for continuous optimization, and identify a 7% savings opportunity.
Decision Lab partnered with a UK manufacturer of baked goods to perform supply chain modernization. Through developed custom features of anyLogistix, the team transformed the client's outdated Excel-based system by centralizing data and processes. As a result, they improved logistics efficiency and were better positioned to address the dynamic demands of the industry.
COVID-19 negatively impacted the Public Distribution System in India by restricting both human movement and the transportation of goods. The National Institute of Industrial Engineering, now the Indian Institute of Management Mumbai, was committed to overcoming these challenges and so developed a simulation that would help manage supply chain disruptions, mitigating the effects of this pandemic as well as any future ones.
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.
