Case study

How Taiwangun’s AI inbox answers airsoft email in 6+ languages

Taiwangun is a Kraków airsoft and tactical retailer, on the market since 2006, selling replicas, upgrade parts and gear to players across Europe and shipping on to the UK, the US and South America.

5 min read

Taiwangun Assistant
Type your question
Powered by spot

Scale

Ships across the EU, UK, US & South America · 6+ languages · since 2006

Integration

Freshdesk

Before AskSpot

A technical shop, an international audience, one email queue

Taiwangun has sold airsoft since 2006 to players who are all over the map — a Polish core, a large English-speaking following, and steady French, Spanish, German and Italian buyers, with the occasional order bound for Canada or South Africa. A replica is bought on its specifications and used hard, so the questions that follow are technical, and they do not keep office hours.

Support is email, in Freshdesk, and before AskSpot every message was opened and sorted by a person: the genuine “where is my order” and “will this magazine fit” sitting next to a wall of B2B supplier pitches, often in a language the person on shift did not read. Outside weekday hours nothing moved — and more than half of the queue was never in Polish to begin with.

Support channel

Email (Freshdesk)

Cover outside office hours

none

Languages arriving

6+, half not Polish

First read on every email

by hand

Rollout

How they rolled it out

One module, brought up in three moves: connect the queue, teach it the catalogue and the policies, then let it take the first read on every email — in the language the email arrived in.

AI Inbox Agent

Step 01

Freshdesk Integration

The email queue

The agent was connected to Taiwangun’s Freshdesk and now reads every message the moment it lands — 4,697 over two months, from a standing start and still climbing month on month.

What customers write

  • I placed an order but still have no shipping confirmation — when does it go out?
  • DPD says my address couldn’t be found and told me to contact you.
  • Where is my parcel? It’s been stuck in transit for three days.

AI Inbox Agent

Step 02

Trained on the Catalogue & Policies

Answers from the shop’s own data

The airsoft catalogue went in alongside the warranty, returns and shipping rules, so the agent can say whether a mount fits, what strength spring is in the box, or when a part is due back — from Taiwangun’s own data, not a canned reply.

What customers write

  • Which mounting rails fit this model?
  • Is the extra spring included in the box, and what strength is it?
  • When will the M14 real-wood conversion kit be back in stock?

AI Inbox Agent

Step 03

Multilingual Triage, Live

First read on every email, in any language

It answers the routine mail end to end and routes the rest to the team with the thread already read and the order pulled — in six-plus languages, and it drops the B2B supplier spam, about one email in ten, before anyone sees it.

What customers write

  • Can I send three products back for warranty in one parcel?
  • ¿Este cargador es compatible con mi S&T AK?
  • Do you ship AEG magazines to Canada?

Measured in AskSpot

What the agent does on the inbox

Two months on the Freshdesk queue, from a standing start to about 2,600 emails a month — and still climbing.

2,600

emails handled a month

63%

of emails come in after hours

6+

shopper languages handled

56%

of emails arrive in a language other than Polish

From real emails

What Taiwangun customers email about

Two questions carry a Taiwangun inbox: what a part is and whether it fits, and what to do when something arrives faulty. Product questions and warranty together are almost half of everything a customer writes in — a catalogue people buy on specifications, and gear that gets used hard.

Product & compatibility24.9%
Returns, faults & warranty19.9%
Order status & delivery11.4%
Cancellations & order changes9.4%
Payments & invoices9.2%
Restock & availability3.2%

Grouped by reading the content of 4,192 customer emails over two months — this account's automatic tagging is off, so the mix is derived from the messages themselves; the remaining share is mixed or one-off requests. About 2 messages per email · 63% arriving after hours.

The email queue

Every email read first — in any language, at any hour

Taiwangun's support runs on email in Freshdesk. The AI Inbox Agent reads every message as it lands, answers the routine ones end to end — a warranty return in one parcel, where an order is, when a part is back in stock — and hands the judgment calls to the team with the thread already read, translated and the order looked up. B2B supplier pitches and spam, about one email in ten, it filters out before anyone has to.

31%

1,458 of 4,697 emails resolved end to end by AI over two months — the rest are triaged, translated and routed to the right person.

Resolved by AI

  • PLWhen will my order be dispatched? No confirmation yetOrder status
  • ENCan I return three items for warranty in one parcel?Returns
  • FRWhen will the M14 wood conversion kit be back in stock?Restock
  • ESIs this magazine compatible with my S&T AK?Compatibility
  • ENDo you ship AEG magazines to Canada?Shipping

Sent to your team

  • ENI test-fired my new AEG and it made awful noises, then stoppedWarranty
  • PLThe pistol arrived with a black barrel, not gold — and the mags don't fitWrong item
  • FRI'd like to cancel my order — I already paid for anotherCancellation
  • ENMy bank shows a different amount than the payment confirmationPayment
  • PLWrong street in my address — please correct it on the orderOrder change

More case studies

See how other stores use AskSpot

More stories from teams that automate support and grow sales with AskSpot.

All case studies

Militaria.pl

How Militaria resolves 83% of chats in 9 languages

Militaria.pl runs AskSpot AI chat across three domains in nine shopper languages: 48% product recommendation click-through, 27% add-to-cart after a chat and 83% of chats resolved with no human — 16,600 conversations a month, over half after hours.

Read the story →

Morele.net

How Morele.net cut customer service costs by 90%

Morele.net cut customer service costs by 90% and went from 50 support agents to 5. AskSpot resolves 71% of its 37,600 monthly chats with no human, and answers Allegro marketplace questions from the same catalog.

Read the story →

4FIZJO

How 4FIZJO automated 50% of customer inquiries with AI

4FIZJO cut website calls and messages by 40% and automates a third of its helpdesk tickets. AskSpot's AI Chat resolves 74% of its 21,360 monthly chats with no human, across 6 markets, and its Inbox Agent clears email and Allegro tickets in Thulium.

Read the story →

Tatuum

How Tatuum turns 18% of fashion chats into a sale

Tatuum's AskSpot sales agent turns 18% of chats into a purchase and 28% into cart-adds — reading the size chart from real body measurements, in Polish and Hungarian. Its inbox agent auto-resolves 41% of post-sale emails.

Read the story →

Twoje Meble

How Twoje Meble fills 1 in 5 furniture carts

Twoje Meble's AI sales agent adds an item to the cart in 18.5% of chats and resolves 88% with no human — 2,057 furniture conversations a month, 41% of them after the showroom closes.

Read the story →

SklepOpon

How SklepOpon turns a tyre question into a €370 order

Nobody browses tyres. SklepOpon's AskSpot agent answers which size, which season, which brand — and the order that follows is a set of four. €45,900 a month in chat-driven orders, 84% of chats resolved with no human.

Read the story →

25case studies

See every story

Every merchant we have measured — what shoppers asked, what the agent did, and the numbers it moved.

Browse them all →

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.
No leap of faith, no lock-in.

Ready to make every conversation sell?

Book a demo and see AskSpot on your own catalog. Onboarding takes a few days.