Case study

How KODANO resolves 55% of eyewear chats with no human

KODANO is a European optical retailer selling prescription glasses, sunglasses and contact lenses online and through its own salons, with designer frames and made-to-prescription lenses.

5 min read

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Scale

16,000+ products

Languages

PL · CZ · RO · IT · SK · DE · LT · HU · NL · AT

Integrations

Magento · Thulium

Results

Key results for an eyewear store

Measured in AskSpot over a 30-day window across 10 storefronts. Prescription eyewear is mostly a where-is-my-order job – but when the agent surfaces a frame or lens the shopper clicks about half the time, and the advisory chats underneath are where the carts come from.

€44,000

in chat-driven orders a month

13.1%

of chats add an item to the cart

8.5%

of chats end in a purchase

55%

of chats resolved

“AskSpot has genuinely improved our customer service – customers get answers faster, and the team handles fewer repetitive tickets.”

Michał Serafin

★★★★★

Michał Serafin

Vice Chief of Marketing & Ecommerce, Kodano S.A.

Before AskSpot

Every order is made to a prescription – and every prescription raises a question

KODANO sells prescription glasses, sunglasses and contact lenses across ten European storefronts and its own salons. Nothing here is a simple add-to-cart: a pair of glasses is manufactured to one person’s diopters, axis and pupil distance, and takes up to eight working days to make. A shopper who gets a detail wrong doesn’t get a return – they get lenses they can’t wear.

That produces two kinds of question at once, in nine languages. Before the sale: will photochromic lenses really go clear indoors, is this power in stock, my prescription has no PD. After it: where is my order, and when does it land. Together they were more than half the chat volume, and a third of it arrived after the team had gone home.

Storefronts to cover

10

Shopper languages

9

Top question

Where is my order

Channels to staff

Chat + email

Rollout

How KODANO rolled out AI chat on Magento

Two modules against the same catalog and order system: the sales agent first, on the lens and frame catalog and then on live order data, and finally the inbox agent on the post-sale email queue.

AI Chat Agent

Step 01

Lenses, frames & prescriptions

The advice that decides the sale

The catalog down to diopter and base curve, plus how each lens type actually behaves, so the agent can confirm a rare power is in stock, explain what photochromic does behind a windscreen, and walk someone through measuring their own PD when the prescription doesn’t list it.

What shoppers ask

  • Are photochromic lenses clear indoors?
  • Night&Day −13.00, base curve 8.6 – in stock?
  • My prescription has the axis but no PD

AI Chat Agent

Step 02

Orders in production

The biggest question, answered

Live order and delivery data, because a made-to-prescription order spends days in production and people want to know where it is. The agent reads the stage, extends a parcel-locker deadline, or redirects a collection to a salon – a third of all chat, resolved without a ticket.

What shoppers ask

  • Where is my order?
  • What if I miss the locker deadline?
  • Can I collect it in the salon instead?

AI Inbox Agent

Step 03

Post-sale email queue

Delivery, invoices, returns

The email queue joined last: delivery timing, salon collection, invoices and returns answered end to end, while anything touching a wrong prescription or a refund is triaged to a person with the whole thread attached.

What shoppers ask

  • Send me the invoice for my order
  • Is it ready to collect in the salon?
  • I got the wrong lens power

Measured in AskSpot

What the sales agent does in a month

5,582

conversations handled a month

10

markets, in the shopper's language

47%

of chats come in after hours

8

messages per conversation

Around the clock

Your busiest hours aren't nine to five

Each bar is the share of chats by hour of day, in local time. The shaded window is when a typical team is at their desks. Everything outside it is the agent working a shift no one else is on.

Mon–Fri 9–17, team at their desks00:0003:0006:0009:0012:0015:0018:0021:00
Staffed hours (53%)After hours (47%)

From real conversations

What KODANO shoppers actually ask

Glasses are made to a prescription, so the biggest job on chat isn't selling – it's telling people where their order is and when it lands. The advisory questions underneath that are the ones that decide a sale: lens behaviour, diopters, PD and whether a frame fits.

Order status & tracking34%
Delivery & buying terms24%
Lenses, specs & fit12%
Product advice & search10%
Returns & cancellations7%
Discounts & promotions6%
Invoices & documents4%
Stock & availability3%

Based on tagged conversations over 30 days · about 8 messages each · 47% arriving outside business hours.

Post-sale inbox

The email queue runs on the same agent

KODANO's post-sale email – delivery timing, collection in the salon, invoices, returns and complaints – runs through the AI Inbox Agent. Routine questions are answered end to end; anything touching a wrong prescription or a refund goes to a person with the thread attached.

45%

Routine emails are resolved end to end by AI – the rest are triaged and routed to the right person.

Resolved by AI

  • PLWhen will my order be delivered?Delivery
  • PLIs my order ready to collect in the salon?Pickup
  • PLPlease send the invoice for my orderInvoice
  • CZHow long does it take to make prescription glasses?Production
  • PLDo I get a discount code for the newsletter?Promo

Sent to your team

  • PLI received two packs of the same power, not one per eyeComplaint
  • DEThese lenses are over-corrected – can I exchange them?Exchange
  • SKCancel my order, I paid with the wrong methodCancellation
  • PLWhen do I get my refund for the uncollected parcel?Refund
  • PLCan I add another item to an order I already placed?Order change

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Test before you trust

Worried AI will cost you customers?

You never flip a switch and hope. Every answer is checked by our AI, our specialists and your own team before launch – and if you want extra reassurance, you can go live after hours first.

Layer 01

Self-testing AI

Every reply is checked automatically against your catalog and your rules, so off-topic or off-brand answers are caught before anyone sees them.

Layer 02

Vetted by experts

Our specialists challenge it with all kinds of questions, drawing on experience from dozens of e-commerce projects we've run, then sign off on the quality.

Layer 03

Tested on staging

Your own managers get a private staging environment to try the chat end to end – ask anything, push the hardest cases – and approve it before go-live.

Layer 04

After-hours launch

Want extra reassurance? Optionally go live only outside working hours at first, review every answer and the full statistics, then expand when you're ready.

You decide when – and if – AskSpot goes live.
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