Case study

How Militaria resolves 72%
of chats in 8 languages

Militaria.pl has been on the market for nearly 30 years (since 1998) – Europe's largest retailer in its category: shooting, self-defence, outdoor and tactical apparel.

3 min read

Militaria.pl Assistant
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Scale

Europe's largest airsoft & tactical retailer

Languages

8

Integrations

Magento

Implementation results

Key results for an airsoft & tactical store

AI chat across three domains and eight shopper languages – measurable effects in support and sales.

61%

product recommendation click-through in AI conversations

26%

add-to-cart rate after a chat interaction

72%

of chats resolved

4.1/5

average customer rating (1–5)

“Thanks to precise, contextual answers and recommendations of alternatives, we’ve partly reduced the volume of repetitive queries to the team, which has meant faster handling of the cases that require a human and a better customer experience. The Freshdesk integration streamlined routing and escalations, and the quality analytics let us measure the impact on conversion and operating costs.

I recommend AskSpot as a solution that pairs fast deployment with a measurable business effect.”

Kamil Jacak

★★★★★

Kamil Jacak

E-commerce Vice Director, Militaria.pl

Before AskSpot

Key problems and processes we solved

Militaria.pl sells across a broad network of domains – Militaria.pl (in Polish, Ukrainian and English), MILITARY.PL and MILITARY.EU, which serves customers in the EU, the UK and Ukraine – as well as through marketplaces and a network of brick-and-mortar stores with expert advice. The company has always put quality customer service first, backed by many positive reviews, and a wide assortment: shooting, self-defence, outdoor and tactical apparel, with products available without a permit.

Buying tactical gear is not a trivial purchase – choosing the right equipment raises plenty of questions about weight, dimensions, material and compatibility with other products. An AI Agent that knows the product turns out to be invaluable in the buying process. Clearing up doubts, answering instantly and advising so the shopper can make a choice and find the right product – that is where AskSpot excels, 24/7.

A key AskSpot capability is multilingual support, whatever the context. An English-speaking shopper asking on the Polish domain Militaria.pl and a French-speaking shopper on MILITARY.EU both get their answer in their own language.

Key problems and processes we solved

  • Technical product questions – specs, compatibility, instructions; the chat gives precise, contextual answers
  • In-store availability – stock and pickup information for specific stores
  • Finding specific products – natural-language dialogue (e.g. “tactical backpack ~30 l under €120”), attribute filtering, fast narrowing down
  • Sales support – recommending alternatives for unavailable products and matching accessories (cross-sell / up-sell)
  • After-sales support – order status, complaints, returns, invoices
  • Multilingual complexity across many shopper languages and multiple domains

Rollout

The AI chat rollout process

Integration with the product catalogue (delivered, for example, through a product feed) and close collaboration with the Militaria.pl team to define how the Agent behaves were key to reaching these results.

AI Chat Agent

Step 01

Catalogue sync & knowledge base setup

An iterative approach to optimising the Agent

We first analysed and connected the client’s knowledge sources – FAQs, guides, knowledge bases and the product feed. The Militaria.pl team then tested the Agent’s behaviour and answers in detail, added more information to the knowledge base and designed new Agent behaviours, while the AskSpot team made the changes on the fly.

Stages

  • Integration with the store catalogue (product feed)
  • Building the first knowledge base
  • Testing and extending the knowledge base

AI Chat Agent

Step 02

Launch & rollout to more markets

One Agent per storefront

The Agent went live on one domain first. After collecting feedback from the team and from shoppers, we made improvements and then rolled the Agent out to the remaining domains.

Stages

  • Launching the Agent on Militaria.pl
  • Conversation analysis, feedback, improvements
  • Rollout to the other domains (MILITARY.EU, MILITARY.PL)

AI Chat Agent

Step 03

Order API integration

Order status, parcel tracking (WISMO)

Some questions about order status or parcel tracking are resolved thanks to a simple integration with Magento – returning the order information.

What shoppers ask

  • Has my payment gone through?
  • Have you shipped my order yet?
  • When can I pick up my order?

Measured in AskSpot

What the Agent does in a month

Volume, coverage and reach across three storefronts – measured from a current 30-day window.

16,600

conversations handled a month

8

messages per conversation

76%

positive customer ratings

8

shopper languages handled in chat

From real conversations

What Militaria.pl shoppers actually ask

Almost a third of every question is a specification – weight, dimensions, materials, muzzle velocity, what a mount will and won't take.

Specs & features32.3%
Purchase & delivery terms13.3%
Product search & advice11.3%
Out-of-stock products6.2%
Order status5.5%
Accessories & spares4.7%
Returns4.7%
Compatibility & fit4.2%

Based on tagged conversations over 30 days.

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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

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