Practical Uses of Artificial Intelligence and Automation for SMEs

Small and medium-sized businesses (SMEs) need efficient human resources management. With smaller work teams compared to large corporations, each employee in an SME often plays multiple roles, covering a wide range of tasks and responsibilities.

In this context, artificial intelligence (AI) is emerging as a powerful automation tool that can help SMEs optimize their operations, freeing workers from repetitive tasks and allowing them to focus on higher-value activities.

In this article, we will explore five practical uses of AI that can transform the way SMEs operate in the market.

Artificial intelligence and automation for SMEs

Artificial intelligence (AI) is a branch of computing that focuses on creating systems capable of performing tasks that normally require human intelligence. These tasks may include learning, language comprehension, pattern recognition, problem solving, and decision making.

For businesses, AI offers a wide range of applications and benefits. It can help with the automation of repetitive tasks, provide in-depth data analysis, improve operational efficiency, and deliver a personalized customer experience.

Improving Customer Service Through Chatbots

Chatbots, powered by AI, can improve customer service by providing quick and accurate answers to common queries. Here are five practical examples:

24/7 Support: Chatbots are available all day, every day, providing immediate support to customers, even outside of business hours.
Instant responses: Chatbots can respond to customer queries immediately, improving customer satisfaction.
Multiple query management: Chatbots can handle multiple queries at the same time, which would be difficult for a human agent.
Automation of routine tasks: Chatbots can perform repetitive tasks, such as tracking an order or scheduling an appointment.
Personalization: Chatbots can offer personalized recommendations based on the customer's purchase history, improving the customer experience.

Data Analysis for Decision Making

AI can be a valuable tool for data analysis, providing valuable insights that can inform decision making. Here are five practical examples:

Customer segmentation: AI can analyze customer data to identify market segments and personalize offers.
Price optimization: AI can analyze market data to determine the optimal price of a product or service.
Sales forecast: AI can analyze past sales trends to forecast future sales.
Risk management: AI can analyze financial data to identify potential risks and opportunities.
Product improvement: AI can analyze customer feedback data to inform product development. These analyzes can lead to more informed decisions, improving efficiency and profitability.

Market Trend Prediction

AI can be used to predict market trends, analyzing large volumes of data to identify emerging patterns and trends. Here are five practical examples:

Sentiment analysis: AI can analyze consumer opinions on social media to predict consumer trends.
Sales forecast: AI can analyze past sales data to forecast future sales trends.
Identification of market opportunities: AI can analyze market data to identify new business opportunities.
Competitor analysis: AI can analyze competitors' movements to predict market trends.
Product demand prediction: AI can analyze sales and industry data to forecast future demand for a product.

Personalization of the Customer Experience

AI can improve customer experience by personalizing interactions and offers. Here are five practical examples:

Product recommendations: AI can analyze a customer's purchasing history and browsing behavior to suggest relevant products.
Personalized communication: AI chatbots can adapt their communication based on previous interactions with the customer.
Targeted Marketing: AI can segment customers into groups based on their preferences and behavior, allowing for more personalized marketing campaigns.
Personalized shopping experience: AI can tailor a customer's online shopping experience based on their preferences and behavior.
Personalized customer support: AI can provide personalized customer support, remembering past interactions and customer preferences.

Automation of Administrative Tasks

AI can be used to automate a variety of administrative tasks. Here are five practical examples:

Meeting scheduling: AI virtual assistants can schedule meetings, send invitations and reminders automatically.
Resume selection: AI can analyze and classify resumes to optimize the hiring process.
Text summary: AI can summarize long texts, such as reports or meeting minutes, saving time and effort.
Document management: AI can use technologies such as OCR to automatically read, classify and store documents.
Billing and accounting: AI can automate billing and accounting tasks, identifying errors and performing complex calculations in seconds.

Conclusions on artificial intelligence and automation

Artificial intelligence has the potential to transform the way businesses operate, from improving customer service to automating administrative tasks. By analyzing large volumes of data, AI can provide valuable insights, inform decision-making and predict market trends. Additionally, you can personalize the customer experience, which can lead to greater customer satisfaction and loyalty. However, to make the most of these opportunities, companies must be willing to invest in technology and training, and adapt to new ways of working.

Automation with artificial intelligence for document management and accounting

One of the tasks that we must automate with the help of AI is document and data management for accounting and tax administration, since this requires transforming the information from thousands of business documents into accounting management systems, using human resources. for many hours or days a week spent on manual data entry and the human errors that can occur.

For this it is essential to use a tool like dijit.app, which allows you to massively upload all your company's documents so that its AI technology with OCR captures and organizes the data in a matter of seconds, which you can then import into your management system or download to an Excel file.

Request a demo with the Dijit.app team and discover all the time you can save thanks to automated document management with artificial intelligence.