From a long term perspective, forecasting customer demand and transport volume plays an important role in improving customer satisfaction as well as increasing corporate profits. The key to this process is to choose a suitable AI for demand forecasting with the minimum error and maximum accuracy.
During the warehouse management process, errors related to operations and delays negatively affect service quality and customer satisfaction. The logistics optimization process is key to predicting demand and selecting a suitable sales destination. If an error occurs in counting the number of pallets or packages that need to be moved on a particular day or the amount of equipment required to handle that move, all subsequent operations will be affected.
If a product is not delivered in a timely manner, the lead time is prolonged and customer satisfaction is negatively affected. However, since it is not possible to predict the number of orders in advance, the key to order management is to select the most suitable supplier and delivery time prediction system.
Engine management failure on ships can lead to severe accidents. This has a very negative impact on the company's brand as well as its sales.
Due to the recent pandemic, the number of delivered items has greatly increased, causing various delivery issues. In addition, as customers' demand for high-speed delivery such as same-day delivery and early morning delivery is increasing, optimal delivery services is one of the biggest factors on sales.
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