Making Better Business Choices with AI for SMEs

Many small and medium-sized businesses in Ireland are looking for ways to improve how they operate and grow. Artificial intelligence (AI) offers a path to achieving this by enhancing decision-making, without requiring a massive overhaul.

Why this matters for SMEs

Implementing practical AI tools can significantly improve how you understand your market and manage your resources. It particularly benefits operations managers, marketing teams, and finance departments, helping them move from guesswork to data-backed decisions.

What it looks like in practice

Consider Sarah, the owner-manager of 'The Green Bean Cafe', a chain of five busy coffee shops across Dublin. Sarah currently relies on her own experience and general sales reports to decide on stock orders and staffing levels for the upcoming week. This often leads to issues like overstocking perishable items, understaffing during peak times, or running out of popular pastry items.

Sarah decides to try a simple AI-powered forecasting tool. Instead of manually sifting through past sales, local event calendars, and weather predictions, the tool automatically takes in her sales data from the past year, integrates local weather forecasts, and pulls information about nearby events (like concerts or festivals) that might affect footfall. Each Monday morning, the system generates a recommended stock order for milk, coffee beans, and fresh pastries, along with suggested staffing shifts for each location, predicting quieter and busier periods.

Before, Sarah spent hours on these decisions, often getting them wrong, leading to wasted stock or missed sales opportunities. Now, with the AI tool, she spends 30 minutes reviewing accurate, data-driven recommendations, freeing her up to focus on menu development and staff training. Not only has she reduced food waste by 15% across her cafes, but she's also seen a 10% increase in customer satisfaction due to better availability of popular items and more efficient service during peak hours.

What could go wrong

• Over-reliance: It's important to remember that AI tools provide recommendations, not infallible commands. Human oversight is still crucial.
• Data quality issues: If the data fed into the AI system is inaccurate or incomplete, the insights it provides will also be flawed.
• Integration challenges: Getting new AI tools to work seamlessly with existing business systems can take time and effort.
• Not measuring impact: Without tracking the specific improvements or changes resulting from AI, it's hard to justify its continued use or investment.

What to try this week

1. Identify a specific decision point: Choose one recurring business decision that currently takes significant manual effort or frequently leads to suboptimal outcomes. Think about ordering, staffing, or marketing spend.
2. Research simple AI tools: Look for off-the-shelf, SME-focused AI tools that address your chosen decision point. Many cloud-based services offer free trials, allowing you to test their capabilities without a large initial investment. Prioritise tools with clear, non-technical interfaces.
3. Gather relevant data: Start collecting or identifying the data you would need to feed into such a tool for a trial run. This might be sales figures, website traffic, or inventory levels.

Making smarter choices often begins with understanding your own data better.