How Artificial Intelligence Evolved the Logistics Industry? 11 Use Cases to Answer
Who thought “Artificial Intelligence” the term that was coined only to distinguish the field from cybernetics at a workshop at Dartmouth College in 1956 would run the major spheres of life around the world in less than a decade’s time. Technology has dramatically changed the business world and how we see technology itself. It has seeped into every sphere of life and the logistics industry is no exception. We have been providing shipping and logistics solutions for over two decades. But the last decade has seen some path-breaking developments in this field. The role of technology in the field grew and with demand came new and better solutions. Let’s explore some of the common yet impactful use cases of artificial intelligence in the logistics industry.
11 Use Cases of Artificial Intelligence in the Logistics Industry
Machine Learning to Assist Supply Chain Planning
Supply chain planning is one of the most significant activities in supply chain management strategies. With technically-advanced tools, it is easier to analyze huge data sets, apply intelligent algorithms, and optimize the decision-making time. Thus, many in the industry leverage artificial intelligence for such tasks with the least human intervention and almost no chance of errors.
Data Analysis for Warehouse Management
For any logistics business, warehouse and inventory management systems are crucial tools. Many now rely on technology than humans to keep a check on the warehouse materials and maintain an inventory. Machine learning with its data analysis and forecasting features can make it easier for business personals to modify your warehouse management system for better.
Computer Vision to Track and Warehouse Analysis
The computer vision systems make use of diverse techniques to analyze images and videos. It provides features of warehouse automation and solves a number of problems. This can easily automate barcode scanning, monitor warehouse perimeter for employee movement, analyze data, prevent theft, and avoid violation of safety rules. Along with this, credits to face recognition technology for its assistance in determining who is entering the warehouse and who is leaving.
Predictive Analysis to Know the Demand
Predictive analysis is one of the most interesting and useful tools that AI offers. Use it to analyze the demand or improve demand forecasting. Just feed in all the data and let the system bring to you further analysis. Machine learning and artificial intelligence have proved their worth in demand prediction and customer forecast as compared to the traditional methods.
Route Optimization with Technology
To make the shipping faster and easier why not take the help of the technology. Artificial Intelligence not just studies the route, but analyzes them and comes up with the shortest route to get the orders delivered, thus, happier customers and better revenues. Save time and energy with technology by your side.
Time Management for Hassle-Free Shipping
Since machine learning and Artificial Intelligence can predict traffic and other factors that may have an impact on shipping, you can select the best time that would save time. It is important to ship your products in a time when there is less hustle and ease of delivery. Longer the products are on the road higher the risk of damage and greater the cost of shipping. Thus, by analyzing an appropriate time to ship you save tons.
Selecting the Right Venture to Work With
It is really important that you venture with the right people and manage your shipping and logistics well. There are many logistics management solutions in the market but finding the one that suits your needs is a little difficult. Why not use machine learning to analyze your data set regarding your past experiences with various suppliers and predict which one can help you grow better and which can ruin the game for you. Grow with the right partners and thank technology later.
Natural Language Processing Makes It Easier
With NLP at your service, you need not worry about deciphering the codes from various languages. Language barriers are always a challenge, but with AI and ML it becomes as easy as eating a pie. With NLP, the team would be able to streamline those compliances and avoid potential troubles due to language differences and would only move ahead for greater results and better revenues.
Planning Your Workforce Well
Planning your workforce well is important for any organization. You need to take care of processes like recruitment, retention, employee development, redeployment, performance management among others. With so much to analyze and compare, it becomes difficult to come up with a fair plan. Let machine learning and artificial intelligence solutions take charge and help you plan your business in a way that it runs only to generate maximum revenue with your employees working comfortably. This is really important as happier the employees better the productivity of the team and higher the profits of the organization.
Keeping Track with Autonomous Vehicles
As there would be various vehicles that would be involved with contractors, customers, and whoever else, keeping a track of all these would be really difficult. Drivers may lose track or there could be they violate any rule or they may meet some mishappening. It is important to keep a track of all the work and which driver replaces whom and where. With everything available to you in a click with transport managing, things are easier and less time-consuming.
Conversational Chatbots Are a Bonus
As your organization is associated with various clients and contractors it is important that they interact with your business as and when required. You may not be available for the responses, but the bots are. One of the biggest gifts of AI to the customer relationship management industry is chatbots. These chatbots are your unidentified salesperson who takes care of your clients and their queries.