21 AI Use Cases To Enhance Your Business

How can your organisation start with Artificial Intelligence (AI) and GenAI? In this article, you’ll find 21 AI use cases. Unlock enhanced productivity – and maybe even new business models. Get ready for improved efficiency, innovation, and customer satisfaction.

Before we start, remember that AI is a tool, not a magic solution. To avoid getting caught up in the AI hype, focus on your problems. As discussed in AI Hype vs. Reality: Why We Shouldn’t Be Talking About AI, start with your business challenges and then explore how AI can help.

Now, let’s explore the possibilities:

1. Ad spend optimisation

ML models can significantly increase the revenue generated per dollar spent on ads by ensuring that the correct customers see the correct ads at the right time. Start optimising your spending today.

• AI for Contact Centre

As a customer base grows, so does the need for customer care. This is often a costly process due to the amount of people involved. Contact Center AI aims to automate customer care by using an AI chatbot as the first line of contact between a customer and support. In case the chatbot is not able to resolve the issue, the case can be delegated to a support agent. In this case, the agent can leverage features like Agent Assist to more quickly resolve the case using relevant information.

• AI Personal trainer

With Generative AI from Devoteam, you can now have a personal assistant tailored just for you. It considers your goals, preferences, and current fitness level to craft a unique training plan for you and your colleagues. This can either replace costly trainers or assist them by creating plans for their review.

• Anomaly detection

Identify and flag unusual occurrences that may indicate potential fraud, errors, faults, or anomalies in various domains such as finance, cybersecurity, industrial systems, or healthcare. By employing statistical modeling, machine learning algorithms, or rule-based methods, anomaly detection systems can automatically detect and alert unusual events, enabling timely intervention or investigation.

• Chatbot for customer service

Chatbots are useful for customer service because they can provide 24/7 support, answer simple and complex questions, and help customers resolve issues quickly. They can also be used to collect customer feedback and track customer interactions more efficiently.

• Churn prediction

Churn prediction will allow you to identify customers who are at risk of cancelling their subscriptions. To prevent churn, these customers can then be targeted with promotions.

• Credit Scoring

Assign a credit score to customers based on their financial situation and external circumstances.

• Custom solutions

Even if your specific use case is not found here, don’t hesitate to contact Devoteam’s AI experts. Given AI’s flexibility, custom solutions might still be possible.

• Defect detection

Using computer vision techniques, detect defects in products on a production line. This will reduce operational costs and ensure that only high-quality products are delivered to your customers.

• Demand forecasting

Make informed decisions regarding production, inventory management, resource allocation, and overall business planning. By anticipating customer demand, optimise your supply chain, reduce costs, and improve customer satisfaction.

• Document Information Extraction

A document processing tool automates handling diverse document types, efficiently extracting key data for various applications. It can ease the finance team’s workload and adeptly manage both financial and legal documents, ensuring streamlined workflow with its versatile capabilities.

• Dynamic Ad Generation

Your company can identify individuals’ interests by using behaviour in an app, website, and social media. Using Generative AI, you can dynamically generate ads that show the items that each person is interested in.

• Enterprise Search

Use GenAI to turn your knowledge base into a chatbot experience for your employees or customers. Different sources can be used: a public website, a DataWarehouse table or a set of documents stored in the cloud.

• Fraud detection

Identify fraudulent documents or transactions based on the properties of the transaction and the parties involved. This helps you comply with regulatory requirements and can avoid large monetary impacts.

• Generating product descriptions

Generative AI can automatically generate product descriptions based on a product’s attributes to display on a website. This will make the lives of your go-to-market teams easier.

• Inventory and Delivery Planning

Plan complex inventory/delivery ins and outs across all of your stores. Ensure that each store has the necessary items in stock while also avoiding storing too much of each item.

• MLOps setup review

Get a review of your current set of MLOps practices. You’ll receive a set of recommendations to increase ML team productivity and production system robustness. It is up to you to let the Devoteam implement these recommendations or let our ML teams provide your training.

Network analysis Identify which customers are “super-influencers” and are likely to promote your brand to their close circle. You can then target those friends through promotions etc.

• Predictive Maintenance

Detect devices that are either operating outside of normal conditions or will do so soon. How? Start monitoring the operational metrics of your devices. The benefit? Repair or replace these devices before these defects impact your business.

• Product pricing recommendation

An ML model can predict the price that will generate the optimal revenue based on product attributes, purchase behaviour, and external factors such as promotions, holidays, etc. Are you ready to maximise your profits?

• Recommender System

A recommender system recommends relevant content or products to a specific user. The AI analyses user behaviour, product attributes, etc. Most often, this is implemented through embeddings. These mathematical representations of users and products allow for the detection of similarities between different products and users. In addition, they allow you to search for users interested in a particular product or the other way around, products a user might be interested in.

AI Use Cases are built on a solid strategy

Remember that AI use cases are not your organisation’s goal. What’s really important is to build a comprehensive AI strategy rather than choosing shiny tools. Your organisation needs a clear vision and roadmap to guide your AI initiatives and ensure they align with your business goals. In addition, any successful AI adoption requires a solid platform strategy, as highlighted in Platforms Are The Foundation For AI Success. A robust platform enables scalability, efficient resource use, and seamless integration with existing systems.