Learn How AI and ML Are Transforming Supply Chain

Logistics Tech Outlook | Monday, June 24, 2019

With the rise in the volumes of data in supply chain and logistics, organizations are focusing on adopting AI and ML solutions which will not only help them to analyze the heaps of data but will also provide accurate analysis results and delivery information.

FREMONT, CA: Organizations are investing money and effort to gain even a granular advantage over their current performance. In the dynamic era where technologies are leading the way, artificial intelligence (AI) and machine learning (ML) are considered the two most disruptive technologies that are disrupting the industries across the verticals. Narrowing down to supply chain, AI and ML have an unprecedented scope of applications. For instance, logistics was an aspect of management, but the advent of modern technologies has resulted in it being highly dynamic across the globe. Major companies have already begun to use AI and ML to streamline the supply chain and to enable real-time decision making over the issues such as costs, inventories, carriers, availability, vehicles, and personnel.

The data explosion in supply chain and logistics, it’s imperative for the companies to adopt a mechanism that allows them to analyze the trends and processes throughout the chain. Effective data processing capability will not only provide them with accurate results but also understand the future trends and challenges. Here are the reasons why technologies are critical to the future of businesses:

Cost Effective and Responsiveness

AI capabilities are benefitting the areas of network planning and predictive demand. Being equipped with the tools that can collect and analyze the data proactively paves the way to significant cost-cutting and response enhancements.

Supply Chain Management Productivity and Planning Enhancements

AI can improve supplier preference and boost the effectiveness of transporters relationship control. AI and ML can also provide accurate measures of several metrics such as delay, load ability, detention determination and instant availability of vehicles that help the firms to focus on the factors critical for the growth of an enterprise.

Factory Scheduling

Using AI predictive capabilities, logistics, and shipment companies are getting adept in predicting future scenarios. The companies can assess several possible outcomes, thus enabling them with clarity to make decisions.

Enhanced Customer Experience

AI is exploring the paths to enhanced customer experience and services. It enables the company to revive relationships and association between consumers and logistics provider by offering them personalization. With rapid advancements of the cognitive technologies, AI assistants can already track parcels and procure shipment data with the help of voice assistant.

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