Which jigsaw should I buy?

Denis Pesa
Jun 9
3 min read

Or: How to use AI to help your customers choose and convert more

Denis Pesa, BlueMetrics CEO

AI-generated summary:

In this article, Denis Pesa, CEO of BlueMetrics, shares a personal experience when trying to buy a jigsaw and how he ended up using artificial intelligence to make his decision with more clarity and less frustration. Using this practical example, Denis presents two high-impact AI applications for e-commerce — virtual sales assistants and automatic product file enrichment — and shows how BlueMetrics has implemented these solutions with agility, affordable cost, and robust technological base.

The jigsaw drama

As an engineer by training, I confess: I'm a pain when it comes to buying things. I compare everything, read specifications, watch videos on YouTube and end up suffering physically when deciding which item to buy. There are so many options. It's torture.

Yesterday, for example, I decided to organize the garage storage area by installing some shelves. To do this, I needed a jigsaw. My level of manual skills is ridiculously low, but let's leave that aside. The problem is: when I looked for the saw on the usual e-commerce sites, the torment began.

Did you know that there are dozens (maybe hundreds) of jigsaw models? Which one is good? Which one is right for me? The most expensive one, full of features, or the cheap basic one? I selected three options and clicked on “compare”. A table appeared with power, cutting angle, cable length… but nothing that really helped me decide. Annoying.

AI to the rescue

Normally, my next step would be: searching for reviews on Google, unboxing videos on YouTube, carpentry forums… But this time I decided to resort to something more modern (and sensible): I used AI.

Prompt I sent to my favorite LLM:

“I need to saw some wood to make shelves. I am not a professional and probably won’t use this saw very often after this. Show me the best and most suitable models on the market and suggest the best one for my needs. Consider low cost, quality and user reviews.”

Hallelujah. Within seconds, I received:

A list of four ideal models
Personalized suggestion for my case
Links to where to buy

And the best part: without leaving the sofa, without opening 15 tabs, without worrying about it.

What does this have to do with your e-commerce?

Now, my dear e-commerce executive or manager, think about your customers. How many of them are experiencing exactly what I experienced? Lost among dozens of products, looking for answers outside of your website, and abandoning their carts along the way?

Here are two AI applications that could have solved my problem — and improved your conversions:

1. AI-powered virtual sales assistant

(And please don't call it a chatbot)

An intelligent AI assistant, installed directly on your e-commerce site, that talks to the customer like an experienced salesperson: it understands the intended use, filters the most suitable products, explains the differences, and suggests the best option.

Instead of leaving your site to ask my LLM, I would have sorted it out right there. And bought from you.

2. Automatic enrichment of product sheets (Product Augmentation)

You register a product with brand, name, and code. The AI searches for external information, generates a complete description, usage instructions, differences and even comparisons with other items in your catalog, updating your product registration. All this without manual intervention.

Imagine your customer reading an AI-generated description that answers exactly the question they didn’t even know how to ask.

Other ideas you can explore with AI in your e-commerce:

Personalized recommendations based on user behavior
Dynamic pricing is automatically adjusted based on demand and competition
Review rating and summary with sentiment analysis
Smart support on WhatsApp or social media
Automatic creation of ads and descriptions, SEO optimized

Want to see GenAI, Machine Learning, and data solutions making a difference in your company?

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Want to put this into practice?

A little over a year ago, all of this seemed like something out of a science fiction movie or expensive technology from big tech. But the tables have turned. Today, here at BlueMetrics, we are able to develop and implement this type of solution with AWS managed services, in just a few weeks, at an affordable cost, and in some cases, subsidized.

But be careful: the market won't wait. Whoever moves first wins. Whoever delays becomes a benchmark case... for others.

Want to know how to apply this to your business? Send me a message here and we can schedule a chat.

What about the shelves? Well, we’ll find out soon enough, but as a friend of mine says: “50% chance of success. 80% chance of failure.”

Denis Pesa is the CEO of BlueMetrics and a passionate DIY enthusiast.