How an ecommerce shop generated €177K with AI chat

Selling £400 sunglasses online is a trust problem. When someone's about to spend that much on Ray-Ban or Gucci frames they can't try on, any hesitation during checkout becomes a lost sale.

eye-oo is a multi-brand eyewear platform based in Italy, selling everything from Ray-Ban and Oakley to handcrafted limited editions from Jacques Marie Mage. They launched in 2020 and initially used Shopify's built-in inbox for customer chat.

It worked at low volume. But as traffic grew, the cracks showed.

The problem

With more visitors came more questions, and the small team couldn't keep up. Customer wait times stretched to 2-5 minutes. For someone about to spend hundreds on eyewear, that wait was often long enough to close the tab.

The business was losing sales not because the products were wrong, but because nobody was there to answer the question at the moment it mattered.

Trust is everything in luxury ecommerce. If a customer asks "are these authentic?" and gets silence, they're gone.

What they built

eye-oo implemented three AI-powered systems:

1. Automated FAQ handling. Common questions about authenticity, shipping, returns, and sizing are answered instantly by the AI. This freed up the human team to handle complex, high-value conversations.

2. Abandoned cart recovery. When a customer adds items to their cart and starts to leave, the AI triggers a conversation. Not a generic popup, but a contextual chat that can answer questions about the specific product in the cart.

3. Lead collection. Every chat interaction captures contact information, feeding the email marketing and follow-up sales pipeline.

The numbers

| Metric | Before | After | |---|---|---| | Customer wait time | 2-5 minutes | 30 seconds | | Sales increase | Baseline | 25% | | Conversion boost | Baseline | 5x | | Revenue from AI chat | — | €177,000 | | Leads collected | — | 1,305 from 2,233 conversations |

The cart recovery numbers are worth unpacking. From 537 bot-managed conversations specifically about abandoned carts, the AI contributed to €1,600 in recovered sales in 2023 alone. But the bigger story is the overall revenue attribution: across all chat flows, €177,000 of revenue was tracked back to conversations where the AI played a role.

Why wait time matters so much in ecommerce

A 30-second response to a buying question is fundamentally different from a 3-minute response. At 30 seconds, the customer is still on the product page, still in buying mode. At 3 minutes, they've opened a competitor's tab.

This is especially true for high-ticket items. The higher the price, the more questions a customer has before they commit. And the more likely they are to leave if those questions go unanswered.

eye-oo's before-and-after is a clean example: same products, same prices, same marketing. The only variable was how fast customers got answers. That change alone produced a 25% sales increase.

The lead generation angle

Beyond immediate sales, the AI collected 1,305 leads from 2,233 conversations. That's a 58% lead capture rate from chat interactions. These leads feed into email campaigns, promotional offers, and retargeting.

For a small ecommerce business, building an owned audience (email list) is one of the most valuable things you can do. The AI chat is doing double duty: closing sales now and building the database for future sales.

"Tidio has helped us with closing sales, building trust, and quantifying the impact of customer service." — Evelin Lopez, Marketing Manager

Source: Tidio case study

Running an ecommerce store with the same problem?

Cart abandonment and slow responses are the two most fixable revenue leaks in ecommerce. If you're losing sales because questions go unanswered, an AI chat system is the fastest path to recovering that revenue. Let's look at your numbers.

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Related reading:

• 9 real AI case studies from small businesses
• AI for ecommerce: five quick wins
• How to measure ROI on AI automation
• My AI customer support service