Artificial intelligence (AI) is no longer just a futuristic concept; today it is an essential driver of the digital transformation of companies. Many sectors, from customer service to logistics, human resources, manufacturing and construction, are adopting AI solutions to increase their efficiency and better meet the expectations of their customers.
In this article, we present 10 concrete applications of AI in professional contexts, illustrating how this technology can not only simplify processes, but also create new opportunities for businesses.
1. Voice Recognition to Place Orders or Enter Notes
Context: Commercial Sector
A sales representative uses voice recognition to dictate an order directly into a CRM software without having to manually type in every detail. This feature allows it to quickly capture essential information during a telephone conversation with a customer. The software automatically transcribes information, reducing the risk of errors and allowing the representative to stay focused on customer relations rather than data entry.
2. Image Recognition for Parts Inventory Management
Context: Furniture Manufacturing Factory
In a furniture manufacturing factory, an employee uses an image recognition application on his smartphone to check inventory of parts such as screws, hinges, and other components. By taking a photo of a batch of parts, the AI immediately identifies the item, sees stock levels, and alerts the team if a restock is needed. This method makes inventory tracking easier, reduces human errors, and ensures that all necessary components are always available for production.
3. Text Prediction to Write Emails Faster
Context: Professional Communication
An AI assistant integrated into an email application detects the context of professional emails and suggests phrases or expressions to complete the sentences being written. For example, when a representative sends an offer, the AI suggests polite or reminder options. This feature not only saves time but also ensures a professional and consistent tone in all communications.
4. Smart Recommendations for Selling Products
Context: E-Commerce
When a customer purchases a product on an e-commerce site, the AI analyzes their preferences and automatically suggests complementary or similar products. For example, a customer who purchases a camera will be offered accessories like memory cards or tripods. By understanding customer needs, AI promotes cross-selling and increases customer satisfaction by offering relevant recommendations.
5. Automated Customer Service with Chatbots
Context: Online Commerce
An e-commerce company uses an AI chatbot on its website and mobile app to answer common customer questions, such as “What is the status of my order?” or “How can I make a return?”. This chatbot is available 24/7, reducing the workload of the customer service team and improving the user experience by providing immediate responses.
6. Fraud Detection for Online Payments
Context: Payment Security
When a customer makes a payment online, AI analyzes the transaction by comparing the amount, geographic location, and past purchasing habits. If an anomaly is detected, such as a transaction of an unusual amount or from a different country, the AI triggers an additional verification process, for example requesting authentication via SMS. This helps reduce the risk of fraud while protecting customers.
7. Recruitment Assistance with Automatic CV Analysis
Context: Human Resources
During a recruitment process, AI analyzes each CV to identify key skills, years of experience and education. For example, it can automatically identify profiles corresponding to the specific criteria of a technical position, such as programming skills or necessary diplomas. This pre-screening allows recruiters to focus on face-to-face interviews to assess interpersonal and technical skills.
8. Personalized Employee Training Using AI
Context: Skills Development
As part of continuing education, an AI analyzes evaluation results to identify areas where each employee is lacking. For example, if an employee struggles with project management, the AI adjusts their learning path to include additional modules, allowing them to progress at their own pace and improve their skills in a targeted manner.
9. Demand Forecasting for Optimized Production
Context: Manufacturing and Production
A furniture manufacturer uses AI to analyze order trends and forecast demand for the coming months. For example, by observing past sales, AI can indicate which types of furniture are likely to be most popular as the holiday season approaches. This allows the company to adjust production, optimize resource use and reduce costs associated with excess inventory.
10. Optimization of Delivery Routes
Context: Logistics and Transport
A delivery company uses AI to calculate the best routes for its delivery drivers by considering traffic conditions, peak times and weather. For example, for planned deliveries in urban areas, AI recommends the order of delivery and routes that reduce travel times. This saves fuel, reduces logistics costs and delivers faster to customers.
These 10 examples illustrate the concrete and positive impact of artificial intelligence in business, whether it’s to optimize operations, reduce costs or improve the customer experience. AI provides valuable flexibility to adjust services and processes in real time, while freeing teams from repetitive tasks so they can focus on more strategic projects.
At Direct Impact Solutions, we specialize in tailor-made digital transformation of organizations. With our expertise in developing custom solutions with FileMaker and Laravel, we help businesses integrate AI tools tailored to their specific needs, for increased efficiency and competitive advantage.
If you are interested in exploring how AI can be integrated into your operations in a personalized way, please contact our team. We’ll be happy to discuss your goals and provide solutions that will transform your business.