Kirsten Poon from Edmonton Shares 5 Ways AI Solves Business Problems

 

Kirsten Poon



Artificial intelligence can help businesses improve operations, make informed decisions, and serve customers more effectively. Kirsten Poon from Edmonton focuses on applying AI to address specific challenges and produce measurable results. She emphasizes practical, actionable steps that companies can take regardless of their size or sector. Here are five ways she recommends using AI to solve common business problems, along with examples of how they can be applied in real situations.

1. Turning Data into Clear Decisions

AI can process large volumes of data quickly and uncover patterns that humans might miss. This includes sales history, customer preferences, website activity, or production performance. Kirsten Poon recommends combining different data sources to get a complete picture. For example, analyzing sales trends alongside customer reviews can reveal why certain products perform better. Even small businesses can start by feeding simple datasets into AI tools, such as monthly sales numbers, to forecast demand or guide marketing campaigns. The key is to use data you already have, clean it, and let AI surface the insights.

2. Reducing Repetitive Work

Many daily tasks are repetitive and follow predictable patterns. AI can handle these tasks accurately, freeing your team to focus on more strategic work. This might include processing forms, scheduling appointments, sorting documents, or handling basic email queries. Kirsten Poon advises identifying the areas where staff spend the most time on routine work. Once identified, businesses can test AI-powered software to see how well it performs in real conditions. By automating repetitive processes, you reduce human error and give employees more time to work on problem-solving, planning, and customer engagement.

3. Improving Customer Service

Customers expect quick, accurate, and friendly responses. AI-powered chatbots and virtual assistants can answer common questions instantly, process requests, and guide users to the right resources. Kirsten Poon from Edmonton recommends starting with your most common customer service issues and training an AI tool to handle those. For example, a chatbot can provide order tracking updates, product details, or basic troubleshooting without human intervention. This shortens wait times, reduces pressure on support teams, and lets your human agents focus on solving complex or sensitive issues.

4. Detecting Problems Early

One of AI’s strengths is detecting unusual patterns that may point to a problem. This can be applied to equipment monitoring, financial transactions, stock levels, or shipping routes. Kirsten Poon explains that AI can work in real time to flag issues as soon as they appear. For instance, in logistics, AI can analyze traffic and GPS data to predict delays and recommend alternate routes. In manufacturing, AI can track machine performance data and alert you before a breakdown occurs. Early detection helps you act before small problems become costly ones.

5. Personalizing the Customer Experience

AI can tailor recommendations, promotions, and communications based on each customer’s behavior and history. Kirsten Poon from Edmonton advises grouping customers by their actions, such as past purchases, browsing history, or service requests, and then sending them relevant offers. A well-personalized email campaign or product recommendation can increase repeat sales and customer loyalty. Even a basic AI tool in an e-commerce platform can learn which products are often purchased together and suggest them to shoppers.

Making AI Work for Your Business

Kirsten Poon stresses that AI adoption should always start with a specific goal. Define the problem clearly, gather accurate and relevant data, and run a small-scale pilot to see how AI performs in your business environment. This controlled approach reduces risks and helps you refine the system before a full rollout. She also emphasizes involving the employees who will use AI daily in the planning stage. Their input ensures the solution works in real-world conditions and delivers genuine benefits. By applying AI to clear, well-defined problems, you can improve operations, strengthen customer relationships, and make better decisions without unnecessary complexity.
Location: Canada

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