Shopping should be simple. But for most of us, it’s turned into tabs open everywhere, conflicting reviews, and that lingering doubt that you’ve either missed a better option or paid more than you needed to. 

We walk through how we actually use AI tools when we’re buying something, from working out what problem we’re trying to solve, to comparing products without getting lost in specs and opinions. 

We also dig into some of the most frustrating parts of shopping, like finding the best price, checking historical lows, tracking price drops, and hunting down discount codes without trawling scammy websites.  

Neo and I discuss: 

• How AI helps at the very start of the buying journey by clarifying what problem you’re actually trying to solve 

• Using AI to compare products side by side, including features, pricing and versions 

• Why AI is especially useful for complex purchases like electronics and appliances 

• The differences between Perplexity, Google AI mode and ChatGPT when researching products 

• How to use AI to find the best price and check historical price lows 

• Setting up scheduled prompts to monitor prices and alert you when they drop 

• Using AI to search for discount codes without trawling scammy or spammy websites 

Connect with Neo Aplin on LinkedIn and via inventium.ai, where he leads Inventium’s AI training and upskilling work with organisations and teams. 

 

My latest book The Health Habit is out now. You can order a copy here: https://www.amantha.com/the-health-habit/ 

Connect with me on the socials: 
Linkedin (https://www.linkedin.com/in/amanthaimber) 

Instagram (https://www.instagram.com/amanthai) 

If you are looking for more tips to improve the way you work and live, I write a weekly newsletter where I share practical and simple to apply tips to improve your life. You can sign up for that at https://amantha-imber.ck.page/subscribe 

Visit https://www.amantha.com/podcast for full show notes from all episodes. 

Get in touch at [email protected] 

Credits: 
Host: Amantha Imber 
Sound Engineer: Martin Imber 

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