Top 5 Use Of Artificial Intelligence in Business.
When we think about artificial intelligence, suddenly a robot figure comes into our mind with an evil plan to conquer humanity. If not, it means you are not a fan of Hollywood movies. But the fact is that we are already using artificial intelligence in our daily routine. In particular, businesses are using AI to increase their production, sales, and customer acquisition.
Here are the top five ways businesses are using AI nowadays.
- AI for customer service and support
“Use of AI in any organization is for pleasing the customer,” said Seth Earley, author of The AI-Powered Enterprise and founder and CEO of Earley Information Science.
Customer service and support are non-negotiable in business. That’s why businesses use chatbot AI for their quick customer queries and solutions. Chatbots use machine learning algorithms to understand customer requests and respond appropriately. And they do it faster than humans and at a very low cost.
2. AI for personalized target marketing.
Nowadays, businesses use AI with machine learning to understand their customers by tracking their search history, click rate, and every movement on their website to show personalized and targeted products. and convince customers to buy them.
3.AI for the smart supply chain.
Businesses use AI for a better supply chain for their products. It uses machine learning to understand the supply and demand for its products and supply its stock accordingly. It helps businesses to minimize over-production and over-storing of their products.
4. AI for safer operation in manufacturing and business.
AI is used very widely for safer and error-free operations in business and manufacturing. As compared to human labor, using AI is very cost-effective and also has a lower chance of error in production.
5. AI-enhanced quality control and quality assurance
Businesses have used AI and machine learning for decades for quality control of their products. But nowadays, they are using more powerful AI software to enhance the quality of the product. These systems are delivering fewer errors and more quality, and they are ever-improving.