{"id":259942,"date":"2024-02-24T12:29:53","date_gmt":"2024-02-24T12:29:53","guid":{"rendered":"https:\/\/imarticus.org\/blog\/?p=259942"},"modified":"2024-02-24T12:31:08","modified_gmt":"2024-02-24T12:31:08","slug":"leveraging-data-analytics-to-optimize-last-mile-logistics","status":"publish","type":"post","link":"https:\/\/imarticus.org\/blog\/leveraging-data-analytics-to-optimize-last-mile-logistics\/","title":{"rendered":"Leveraging Data Analytics to Optimize Last-Mile Logistics"},"content":{"rendered":"

Last-mile delivery is the final leg of the delivery process, from a distribution centre to the end customers\u2019 doorsteps. It is considered to be one of the most complex and expensive parts of the entire supply chain process, amounting to as much as <\/span>53%<\/span><\/a> of all expenses.\u00a0<\/span><\/p>\n

As businesses worldwide continue to battle with this critical component of supply chain management, data analytics has emerged as a lifesaver for<\/span> last-mile logistics optimization<\/span>.\u00a0<\/span><\/p>\n

On that note, in this article, we will delve into the transformative role of <\/span>data analytics in logistics<\/span> optimization.\u00a0<\/span><\/p>\n

Use Cases of Data Analytics Techniques in Last-Mile Optimization\u00a0<\/b><\/h2>\n

Let\u2019s take a look at some of the many ways by which businesses are tapping into the tremendous potential of data analytics to optimize their last-mile operations.\u00a0<\/span><\/p>\n