Conversational AI as a Novelty Booster in the Logistics Automation and Transformation

There has never been a greater demand for cutting-edge technology in the logistics automation and supply chain sector. By using conversational AI, the logistics sector may produce up to $2 trillion in economic value annually, according to McKinsey.

Conversational AI in logistics aims to automate monotonous tasks and try to get rid of human mistakes. Therefore, let’s observe the various ways in which conversational AI is transforming the world of logistics and supply chains and talk about some of its real-world applications.

Before we dive deep into the world of conversational AI in logistics, what do we call conversational AI?

Conversational AI broadly refers to how artificial intelligence and natural language processing (NLP) work together to comprehend and provide meaningful responses to human inquiries. This technology enables a casual, seamless consumer experience while automating text and voice-based messaging between people and machines.

For company executives seeking a creative, logical answer to their age-old challenges, voice-enabled technology—be it a chatbot, a social media message platform, a voice assistant, or any device—opens a whole new dimension. Thus, a company may automate responding to client inquiries, carrying out transactions, or achieving any connected goal by using a conversational AI platform.

Not only that but research by Accenture found that 57 percent of companies believe conversational AI technologies offer strong returns on investment for relatively small initial investments. 

To begin with, by meticulously tracking all client contacts, conversational AI technologies assess user interactions automatically and lower operational risks. Investing in AI chatbots may immediately reduce a company’s running expenses in addition to assuring compliance with its requirements.

Secondly, conversational AI solutions in the logistics sector boost operations by removing hitches in client contacts. The program controls your roadmap by doing systematic studies and managing data at scale since everything is interpreted using keywords.

Finally, conversational AI can channel priorities and responsibility distribution by handling all a company’s repetitious processes, such as creating papers, setting up meetings, updating CRM (customer relationship management), etc.. The technology can not only execute the tasks from the list but also deliver proper and efficient ordering based on predetermined characteristics.

After establishing that conversational AI is the proverbial “magic wand” for contemporary enterprises, let’s quickly review some of its essential uses in logistics management.

• When it comes to placing orders or delivering products or services, conversational AI can serve as virtual procurement assistants. Chatbots may provide pertinent services and provide estimations immediately without involving people based on prior conversations. Additionally, the technology solution can remember the client’s request and prompt them to repeat it the following time.
• Nowadays, websites contain so many functions that consumers could become perplexed while trying to find the ones they need. However, if conversational AI systems are used to enable site navigation, the user will be sent to the required page.
• Conversational AI is useful for navigating in different contexts, such as how-to manuals and other instructions. Consider how much simpler it would be for staff to ask an advanced technology about a certain process in the company manual than to search for it themselves. They may avoid the time-consuming task of going through hundreds of pages of instructions.
• It is not a secret that reviews influence people’s purchasing choices: 92 percent of B2B clients concur that reading a reputable review increases their likelihood of making a purchase. This implies that the more positive ratings you receive, the better. Furthermore, conversational AI can assist you because individuals do not particularly appreciate completing evaluation forms. They may also be used to automatically fill out forms for returns or complaints. Imagine that all a user needs to do to return a package is to provide the conversational AI system with the tracking number. Not only that but you learn about the most common problems and their solutions.

The bottom line is that conversational AI is a necessary asset as it aids with staff or inventory management, cuts expenses, automates procedures, provides 24/7 customer service, and more.

Conversational AI will continue to be used since it is a part of the automation plan, which is an evident trend that most logistics and transportation firms will adopt. Even further, we may say that in the upcoming ten years, the ability of conversational AI will develop even further sentiment analysis to adapt to the user’s mood and comprehend the context of the conversation to provide results more quickly.

Moreover, if we consider conversational AI to be the link between humans and artificial intelligence, this technology will get more intelligent and human-like every day, regardless of the business in which it is deployed.

More ideas for automation in logistics you can find on our page or ask for a Demo.

1. https://www.economist.com/special-report/2018/03/28/how-ai-is-spreading-throughout-the-supply-chain?FEATURE_ARTICLES_V1=0

2. https://www.accenture.com/_acnmedia/pdf-77/accenture-research-conversational-ai-platforms.pdf

3. https://www.qualtrics.com/blog/online-review-stats/