Artificial Intelligence in Logistics

What we saw in scientific fiction earlier, is today a technology that companies cannot do without. Artificial intelligence - the science of making machines that can think like humans is a household name today. AI includes using computers to do things that traditionally require human intelligence.

AI can process large amounts of data in ways that humans cannot and that is the precise reason for industries to adopt this technology that was once a fantasy. The logistics and supply chain industry has benefitted remarkably due to the usage of AI, streamlining processes that is otherwise very cumbersome. AI has been increasingly adopted in the logistics and supply chain industry to optimize operations, increase efficiency, and improve customer satisfaction.

Ash Logistics, a renowned supply chain management company in India, enhances its services by leveraging the best of technology. It uses AI for providing efficient services :

• Demand forecasting: AI analyzes historical data, customer behavior, market trends, and other variables to accurately forecast demand. This helps us in reducing inventory costs, avoiding stock-outs, and minimizing overstock situations, leading to improved supply chain efficiency and cost savings.
• Route optimization: AI optimizes delivery routes based on real-time data such as traffic conditions, weather conditions, and road closures, leading to shorter transit times, reduced transportation costs, and improved on-time deliveries.
• Warehouse automation: Ash Logistics uses AI for warehouse management in a seamless manner. AI-powered robots and autonomous vehicles streamline our warehouse operations by automating tasks such as picking, packing, and sorting. This leads to increased efficiency, reduced labour costs, and improved order accuracy.
• Supply chain visibility: We use AI for our supply chain management. AI provides real-time visibility into the entire supply chain, enabling logistics professionals to track shipments, monitor inventory levels, and identify bottlenecks or delays. This allows for proactive decision-making, efficient inventory management, and improved customer service.
• Predictive maintenance: AI analyzes sensor data from transportation vehicles and equipment to predict maintenance needs accurately. This helps in reducing unplanned downtime, optimizing maintenance schedules, and extending the lifespan of assets, resulting in cost savings and improved asset utilization.
• Supplier selection and risk management: AI analyzes data on suppliers’ performance, reliability, and financial stability to aid in supplier selection decisions. AI can also identify potential risks such as disruptions in the supply chain, geopolitical events, or weather-related issues, helping in risk mitigation and contingency planning.
• Enhanced customer experience: Ash Logistics always strive for bettering their customer’s experience. We use AI for enhanced customer experience. AI-powered chatbots, virtual assistants, and personalized recommendations enhance the customer experience by providing real-time information, tracking updates, and resolving customer queries promptly, leading to improved customer satisfaction and loyalty.