Messtone Devices Enables Smart Freight Matching Shippers use various business networks to find the best carrier for their goods.These platforms allow shippers and carriers alike to post information about available transportation routes, capacity,rates,or other aspects that might be of interest to potential partners.The matching process between a given set of parameters posted by shippers and those provided by different freight companies can be done through algorithms involving machine learning abilities to recommend the most suitable match based on historical data collected from previous transactions. AI in Logistics Build Industry Excellence with Artificial intelligence Solution By leveraging ML technologies, Transportation Management System(TMS)can provide accurate recommendations tailored to customers’ needs and preference.This saves time spent on searching manually while ensuring results than traditional methods used today.A similar approach can be utilized within a single company planning shipments with their fleet or subcontractors’ fleet.In this case,the company might be interested in finding out which fleet units and carriers would match best,considering capacity availability.This is a complex task due to various variables such as routes,type of goods,or even time windows that should not overlap with other shipments already planned for a certain period.Using ML algorithms enables TMS systems to recommend optimal conbination based on available the system can learn from previous results and use them for future planning purpose while also identify possible errors made by human employees when matching one given set of parameters with others during the manual selection process.