Artificial Intelligence To Drive Logistics Industry

By CIOReview | Wednesday, January 16, 2019

Logistics has been an integral part of the supply chain and business models. Unlike the past, businesses have now started to focus on its development for which they look up to new age technologies. Artificial intelligence (AI) is one such technology that holds the potential to leverage logistics to overcome present challenges. Retail logistics face the most challenges as it directly caters the consumers and is widespread making it more complex. Logistics currently needs to predict consumer needs, goods demand, a simpler process, and streamlined workflow to remain unhindered and profitable.

AI in Documentation

Organizations from around the world used to put in their efforts in managing the paperwork for logistics which was prone to errors, costly, and time taking. AI adoption allows automating the process and saving money as entities themselves could enter data and AI interface managed all by itself without human intervention. Also, the insights received from this data enables companies to enhance their payment and documentation methods and keep a track of them.

Logistics Tech Companies: Boxzooka, Cubiscan, EmergeTMS, LOGOS, MatchBack Systems, nVision Global, Taylored Services

Predictive Analysis

The major benefit of AI proves to be its predictive analysis of customer demands. Integrating AI in logistics will give manufacturers to retailers, an insight of consumer needs. Retailers will be able to understand the demand of particular good at a particular time or region and accordingly, they would procure them. Data received from retailers would help all other entities in the supply chain redefine their inventory. Improvements made at the top of the hierarchy would trickle down and benefit the rest.

Enhanced Management

Apart from customer needs, AI can also leverage organizations to improve their logistics management system as it will enable them to keep a track of their assets in real-time. From transportation to inventory everything could be sorted according to requirements of the market. A proper assessment of assets will allow optimizing resources and investments.

Strategized Logistics

Tedious and mundane tasks can be shifted to the AI interface which will carry them out with the same efficiency each time. As AI can interpret bigger data sets companies can fetch more tenders and choose the most reliable and profitable logistics partners based on it.

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