Using Artificial Intelligence To Increase Productivity

Artificial intelligence is one of the trending topics of today’s technology and innovation within the business world. Enterprise use of AI alone has risen over 270% in the past four years, touching all aspects of the business world from staff recruitment to consumer insights and marketing. The current generation of artificial intelligence, which is widely supported by big data and machine learning platforms, is finding its way into almost every workplace. When AI platforms are implemented effectively and efficiently, they possess the capacity to improve output and productivity and boost employees’ job satisfaction by taking over undesirable tasks.

Read on to learn about a few ways that artificial intelligence is being used to increase productivity.

Meticulous forecasting

Using AI and machine learning platforms, it is possible to test hundreds of mathematical models of production and outcome possibilities. From the obtained results, you would be more precise when adapting something like a new product introduction, supply chain disruptions, or even sudden changes in demand. AI can also introduce efficiencies with something as simple as taking physical inventory. A task that usually takes employees months to complete can be completed within days by utilizing a drone or scanning items in a warehouse.

Predictive maintenance

Organizations are realizing that investing in predictive maintenance solutions is valuable since it’s a sure-fire way to boost operational efficiency. Predictive maintenance usually employs sensors to check the state of tools and evaluate the data on a regular basis. It enables businesses to service their equipment as needed rather than according to a schedule. Machines can also be programmed to diagnose their own problems, order replacement parts, and deploy a field professional as needed. Big data algorithms are usually used to forecast future equipment breakdowns.

Hyper-personalized manufacturing

Today, customers prefer customized, personalized, and unique products or services over standardized ones. Developments in AI are enabling businesses to take personalization to the next level by building services and products that are highly pertinent to the individual consumer’s needs. Such businesses have an opportunity to create differentiated propositions that may command a price premium, and improve consumer traffic and conversion. This also enables brands to build greater trust with their customers via personalized offerings.

Leveraging smart chatbots

Customer service solutions usually require a lot of back and forth between agents and customers, especially in the initial stages of inquiries. AI makes it possible to create smart chatbots, which when deployed can handle many low-level communication steps. Chatbots can collect names, account details, and other basic information about problems customers are facing on a day-to-day basis. If the chatbot cannot offer a satisfactory solution, the information is then relayed to a human representative, who can take over from an advanced stage.

Flawless data analysis

With a need to gather and analyze huge amounts of customer data and spot trends and opportunities, companies used to look for a data analyst to help them stay ahead of the game. However, with AI tools, it has become easy to conduct data analysis to identify high-cost areas, roadblocks, and even provide information about departments that are overworked or understaffed.

From smart chatbots to predictive maintenance, artificial intelligence is being used across the board to help businesses increase productivity and streamline their operations. These developments that have taken place over the past decade are exciting, and the AI community is expected to see unprecedented growth in the future.

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