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AI in Retail and Hospitality: What's Hype and What Actually Helps?

Danielle Collard
19 Oct 2026

While AI models are improving everyday, it’s still a relatively new technology, meaning there are areas it excels and areas it struggles. So choosing when to let AI help and when to say no is critical to getting the most out of this exciting new tech, and that’s what we’re looking at today.

We’ll cover:

  • What actually is AI?

  • Rules for using AI in your business

  • Pros and cons of AI in retail and hospitality

  • What are the best ways to use AI in retail?

  • What are the best ways to use AI in hospitality?

Want to get AI to give your business a boost? Read on and be sure you’re using it the right way. Let’s get started!

What actually is AI?

At its simplest, artificial intelligence (AI) is pattern recognition software that reads huge amounts of data and uses it to make predictions. That could be anything from the best next word in a sentence, the next product a customer might fancy, or how busy Saturday lunch service is likely to be.

AI is being used for everyday tasks like admin, ordering, and writing, to much more complex goals like pioneering mathematics. But it’s essential to understand that AI isn’t a thinking, feeling brain. AI doesn’t “know” things the way your staff do, which is why it can sound confident while being completely wrong, sometimes in ways that are very obvious to a human mind.

And businesses are all in. Estimates predict the global AI market will reach around $539 billion in 2026, an astonishing leap up from $391 billion in 2025. Meanwhile, studies found that 88% of organisations now use AI regularly in at least one business function, and 80% of people using it at work say it’s made them more productive.

Smaller businesses are catching up fast, too. Over two in five (44%) Australian SMEs were using AI by February 2026, the strongest result in several months. The catch? More than half of Australian SMEs are yet to meaningfully adopt AI, and that’s exactly where a few ground rules come in to make its use more effective.

Rules for using AI in your business

Use AI for the busywork, not the big calls

AI shines at repetitive tasks that are time-consuming for humans: drafting product descriptions, summarising reviews, compiling and reading data, forecasting stock, or answering the same, basic customer questions with stock answers for the hundredth time. Big decisions about your people, your pricing or your brand still need a human brain. A good rule of thumb? If getting it wrong would cost you customers or a staff member’s trust, keep AI as the assistant, not the boss.

Know when to say no

The results of AI work will, unsurprisingly, lack the spontaneity and friendliness of human touch. So when the personal element is key, keep AI out of the way: a guest celebrating an anniversary doesn’t want a chatbot, and an upset customer deserves a real apology from a real person. Be wary, too, of handing AI anything involving sensitive customer data, allergen information, or legal compliance, where one over-confident mistake could do real damage. If in doubt, leave it out!

Always keep a human in the loop

AI is brilliant at whipping up first drafts and terrible at knowing when something’s not right. Whatever it produces, from social posts to rota suggestions, give it a once-over before it goes anywhere near a customer. Set clear guidelines on which tools staff can use, how they should use them, what information they can share with them, and what to do with what the AI produces. This way, you’ll avoid most of the common pitfalls.

Start small and roll it out gradually

Don’t overhaul all the processes you already have (and that already work) just so you can start using AI. Pick one task, trial it during quieter periods and refine the process before extending the AI’s use. Train staff properly, keep a manual fallback for when tech fails, and let customers know when they’re dealing with an AI (if you let them). Change that sneaks up on people rarely goes down well.

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Pros and cons of AI in retail and hospitality

Everyone has an opinion about AI, but when you’re trying to make the right decision about how to use it in your business, staying balanced can be difficult. So let’s run through some pros and cons about AI’s abilities and effect on businesses

The pros of AI in business

  • It saves time on repetitive tasks. AI can complete tasks that take your staff hours in seconds. Drafting menus, writing product listings, replying quickly to common enquiries, and summarising reviews can all be handled in minutes, freeing your team up for the jobs that actually need a human.

  • It makes forecasting smarter. By spotting patterns in your sales, bookings, and even the weather, AI is fantastic at predicting trade, so you can use it to ensure you order the right amount of stock, schedule the right number of staff, and cut down on waste.

  • It’s available around the clock. AI chatbots and booking assistants can answer questions about opening hours, deliveries, or table availability at 2am, meaning customers get quick answers and you don’t miss out on sales while you’re closed. It can also help you whenever you need it, not just when it’s on the clock.

  • It helps you personalise at scale. AI can tailor recommendations, emails, and offers to individual customers based on what they’ve bought or booked before, giving smaller businesses an affordable and effective marketing strategy and a personal touch to their customer comms.

The cons of AI in business

  • It can be confidently wrong. AI sometimes invents facts, prices or policies and presents them as gospel. In retail and hospitality, one authoritative but incorrect answer about allergens, refunds, or availability can quickly turn into an unhappy customer or something much, much worse.

  • It can feel impersonal. Customers often choose independent shops, cafés, and hotels precisely for the human connection. Lean too heavily on chatbots and automated replies, and you risk losing all the warmth that sets you apart from the big chains in the first place.

  • There are data and privacy risks. Feeding customer details, payment information, or staff records into AI tools can put you on the wrong side of GDPR. Not every tool is clear about where your data goes or how it’s used.

  • The costs can creep up. Subscriptions, setup time, and staff training all add up, and the payoff isn’t always immediate. Without a clear purpose, it’s easy to end up paying for tools that nobody actually uses.

What are the best ways to use AI in retail?

In retail? Thinking about implementing AI? From the stockroom to the checkout, here’s where AI can genuinely earn its keep.

Writing product descriptions and listings

AI writes at lightning fast speed, and with thousands of products that need titles, product descriptions, and a website that needs copy, AI can write simple copy, and give you first drafts to refine for your website.

All you need to do is give it the key details (that is, materials, sizes, ingredient information, and your ideas about what makes the item special) along with a few examples of your brand voice, and it’ll produce consistent listings across your whole range. It’s a huge time saver, especially for large catalogues or seasonal stock. Just check every description for accuracy, as AI left unchecked will invent features your products don’t have.

Forecasting demand and managing stock

Data analysis is an area AI really thrives. By analysing past sales, seasonal trends and even local events or weather, AI-powered inventory tools can predict what will sell and when by considering more information than a human ever could.

Many stock management and point-of-sale systems now include these features as standard, so check what yours offers before buying anything new. The payoff is fewer empty shelves, less dead stock and better cash flow. These forecasts are only as good as the data you feed it, though, so treat them as a guide, not a crystal ball.

Handling customer service enquiries

AI chatbots can answer common questions about your service such is delivery times and options, returns policy, and opening hours. It can also do so instantly at any time of day, something no human can replicate. Most e-commerce platforms offer built-in or plug-in chat tools that you can train on your own FAQs and policies, making this straightforward to implement for retailers using those platforms. Customers get faster answers and your team spends less time repeating themselves. It’s worth make it easy to reach a real person, though, and keep the bot away from your complaints service and tricky one-off questions and issues.

Personalising marketing and recommendations

AI is very good at analysing purchase history and browsing behaviour to make product suggestions customers are likely to love. It can segment your mailing list so each group gets offers that actually suit them, making your marketing campaigns more targeted and personal, improving their effectiveness. Done well, it boosts repeat sales and makes a small shop feel attentive. Done badly, it can feel a bit creepy and intrusive, so don’t overdo this and make sure you stay on the right side of GDPR.

Making sense of customer reviews

Paste a batch of reviews or survey responses into an AI tool and ask it to pull out common themes and you’ll instantly have a view over what problems customers are having with your business. Spotting recurring complaints and also learning what customers love most is a quick way to understand where your business is flourishing and floundering, and this is something that can take a lot of time to gather, sifting through mountains of reviews. Be sure to remove names and personal details before uploading anything, and read a sample of the original reviews yourself to make sure the summary rings true.

Other handy uses for AI in retail

  • Social media content: drafting captions, hashtags and post ideas.

  • Competitor price monitoring: tracking market prices so you stay competitive.

  • Fraud detection: flagging suspicious online orders before they ship.

  • Translations: adapting product listings for overseas customers.

What are the best ways to use AI in hospitality?

Whether you run a café, a pub or a boutique hotel, there are ways to use AI to improve your service. Here are some key approaches you can use in your business:

Managing bookings and enquiries

AI booking assistants can take reservations, answer questions about menus, parking or dietary options, and handle changes around the clock, through your website or social media. It means fewer missed bookings and fewer interruptions during service. There are some questions, such as those about allergens, that should always be confirmed by a member of staff and never be left to AI alone.

Forecasting covers and cutting food waste

By looking at past bookings, walk-ins, local events and the weather, AI can estimate how busy you’ll be and what guests are likely to order. Some kitchen management and EPOS systems with built-in AI include this already and can be easy to start using when restocking. Better predictions mean more efficiency in your business, with less wastage; this is good for your margins and the planet. Surprises like a last-minute coach party will still catch it out, so a manager’s instinct and a healthy buffer still matters!

Responding to online reviews

AI can help you draft thoughtful, professional replies to reviews on Google, TripAdvisor and booking sites, which is a lifesaver when you’re juggling dozens a week. Paste in the review, add a few notes on what happened, and ask for a reply in your own tone of voice. Responding consistently shows guests you care and can boost your reputation and retention, but this can be time-consuming. Using AI to draft and then adding a personal touch can be an efficient approach to this task. Copy-and-paste AI replies are easy to spot and can do more harm than good, so full AI automation might not be the right way to go just yet.

Menu planning and costing

AI is great at which seasonal dishes will be popular using trending hospitality data, calculating the right cost of your dishes based on your supplier prices, as well as highlighting which menu items are your most and least profitable. Feed the AI your sales data and ingredient costs, and it’ll help you engineer a menu that works harder for your margins. Treat its recipe ideas as a starting point, not a finished dish, and double-check any nutritional or allergen information it produces.

Smarter staff scheduling

AI-powered rota tools can match staffing levels to predicted demand, factoring in availability, skills and holiday requests. Many workforce management apps now include this, saving managers hours each week. You avoid being short-staffed on busy nights or overstaffed on quiet ones. Just make sure the rota still feels fair. Staff are people, not data points, and a schedule that ignores that will quickly hurt morale, staff retention, and the atmosphere in your business.

Other handy uses for AI in hospitality

  • Guest communications: pre-arrival emails, upsells and post-stay thank-yous.

  • Translation: menus and guest information for international visitors.

  • Energy management: smart systems that adjust heating and lighting to occupancy.

  • Staff training: quick guides, checklists and onboarding materials.

AI: a business’s best friend when used correctly

So, is AI hype or does it actually help? The honest answer is both. AI is brilliant at the busywork: forecasting stock, drafting product listings, handling common enquiries, replying to reviews and building smarter rotas. But it can get things very wrong, can feel impersonal, and it needs careful handling around data and allergens. The businesses getting the most from it start small, keep a human in the loop, and save the personal touch for the moments that matter. Used that way, AI isn’t a replacement for your team; it’s the extra pair of hands that frees them up to do what they do best.

Ready to put AI to work in your business? Epos Now’s AI-powered point of sale systems are built for retail and hospitality, bringing real-time sales reporting, smart stock management and AI-driven insights into one easy-to-use system. That means less time crunching numbers and more time with your customers. Get in touch with the Epos Now team today to find out how AI can give your business a boost, the right way.

FAQs

How is AI used in the hospitality industry?

Hospitality businesses use AI to manage bookings and enquiries around the clock, forecast covers to cut food waste, draft replies to online reviews, cost menus and build smarter staff rotas. It’s also handy for guest emails, translating menus and creating training materials. Just keep allergen questions and personal guest moments firmly in human hands.

How is AI used in retail stores?

Retailers use AI to write product descriptions, forecast demand and manage stock, answer customer enquiries via chatbots, personalise marketing and make sense of customer reviews. Many point-of-sale systems now have AI features built in, making it easy to start small. Always check AI’s output for accuracy before it reaches your customers.

What is the 30% rule for AI?

The 30% rule isn’t a formal standard but a popular rule of thumb. It suggests handing roughly the first 30% of your work (usually the repetitive, rule-based tasks) to AI, while keeping the remaining 70% that needs human judgement and accountability. It’s a sensible way to start small and keep humans in the loop while gaining the efficiency boost offered by AI.

How is Zara using AI?

Zara’s owner, Inditex, has been investing heavily in AI. Its standout tool is Zara Try-On, which lets customers create an avatar from their own photos and see it wearing real products. It’s now live in 43 markets, with more than seven million sessions so far. Zara has also adopted AI-generated imagery for its fashion content.