Artificial Intelligence: The solution for supply chain problems in the Engineering Industry

Supply chain management is complex; more so in the engineering industry, which includes a number of touchpoints such as sourcing of raw material, secondary distribution, and last-mile distribution. As a decision-maker in the engineering goods supply chain, you must understand how tech can simplify these complexities. Download this whitepaper to know how Locus solved the logistical challenges for Kirloskar Oil & Engines Limited (KOEL).

• A close look at the Engineering Industry : Over the years, there has been a significant development in India’s engineering industry, especially the light engineering sector
• The Engineering Goods supply chain : Supply chain management is complex; more so in the engineering industry, which includes a number of touchpoints from material procurement to manufacturing, storage, shipment, and delivery.
• The important elements of the supply chain How does the engineering goods industry function and what are the key elements in the supply chain of the engineering industry?
• Logistics challenges in the Engineering Industry : In a multi-faceted supply chain, the engineering industry has to tackle several logistics challenges in order to fulfill on-time deliveries.
• How AI can optimize logistics for engineering enterprises : AI-based platforms can address logistical issues in the engineering goods supply chain and help enterprises by empowering the decision-making process.
• Locus in Kirloskar Oil and Engine’s supply chain : Locus offered Dispatcher, a complete route planning solution to ensure cost-based route optimizationand logistics planning at KOEL, India’s leading manufacturer in agricultural pump sets and power generating units.