Feature

See what every chat
is telling you

Every conversation becomes insight: dashboards for revenue, resolution and rating, a searchable conversation explorer with per-chat detail, and a weekly email report on what customers ask and what to fix.

Sales dashboard
EUR ▾
Chat revenue€39k
Resolved60%
Rating4.6

What it is

Every conversation, turned into insight

After every conversation the agent tags a topic and judges whether the customer got help – so the raw chats become structured data. That powers three ready dashboards, a searchable explorer of every conversation, and a weekly email report, across both the chat and the inbox.

Step 01

Tags every chat

The AI assigns a topic and marks resolved or needs-attention – automatically, on every conversation.

Step 02

Shows it on dashboards

Revenue, resolution and rating – plus a searchable explorer of every conversation.

Step 03

Emails you the summary

A weekly digest lands in your inbox – top questions, where it helps, what to improve.

01 · Dashboards

Revenue, resolution and rating at a glance

Three ready dashboards: sales – revenue attributed to chat, conversion, product clicks and add-to-cart; resolution – how much the agent handles on its own; and rating – customer satisfaction. The sales view is multi-currency for stores selling across markets.

  • Chat-attributed revenue, conversion and the sales funnel
  • Resolution and average rating, ready out of the box
  • Multi-currency, for stores that sell across markets
Sales dashboard
EUR ▾
Chat revenue€39k
Resolved60%
Rating4.6
Conversations
Filter ▾
SalesDo you deliver to Ireland?Resolved
Post-salesWhere is my order #10482?Resolved
LeadAny discount on a first order?Unresolved
SalesIs the Harper sofa in stock?Resolved

02 · Conversation explorer

Find any conversation, and why it was answered

Every conversation is stored and searchable – filter by date, topic, page, channel, resolution and more. Open one for the full transcript, an AI summary with the reasoning behind the answer, and the conversion it drove.

  • Filter by date, topic, page, channel, resolution and rating
  • Per-conversation detail with an AI summary and justification
  • Full transparency into why the agent answered as it did

03 · Weekly report

The summary comes to you

An automatic email digest lands once a week for the people you choose – the most common questions, where the agent helps, and what’s worth improving. You can also generate a report on demand for any period up to 30 days.

  • Keeps the team informed without logging in
  • Top questions, wins, and what to fix next
  • On-demand reports for any period up to 30 days
Your weekly assistant report
Monday 09:00 · to your team
Top questionsdelivery · returns · sizing
Where it helped540 chats · 60% resolved
Worth improvingadd a size-guide entry

Why it matters

Proof of impact – and a to-do list

Analytics does two jobs: it proves what the agent is worth – revenue, resolution, satisfaction – and it shows you exactly what customers keep asking, so you know which knowledge to add next. Every chat becomes a reason to keep improving.

See the dashboards on your data

Book a demo and we’ll walk you through the numbers on a store like yours.

Available in

The AI Chat & Inbox Agents

Analytics are shared across both AskSpot agents – the on-site AI Chat Agent and the AI Inbox Agent – so one view covers conversations on the storefront and tickets in your helpdesk and marketplace inboxes.

Conversations
Filter ▾
SalesDo you deliver to Ireland?Resolved
Post-salesWhere is my order #10482?Resolved
LeadAny discount on a first order?Unresolved
SalesIs the Harper sofa in stock?Resolved

Proof

Measured impact, in real stores

All case studies

Morele.net

How Morele.net cut customer service costs by 90%

Morele.net cut support costs 90%, from 50 agents to 5. AskSpot resolves 65% of its 37,600 monthly chats with no human and answers Allegro questions too.

Read the story →

Militaria.pl

How Militaria resolves 72% of chats in 9 languages

Militaria.pl runs AskSpot across three domains in nine languages: 27% add-to-cart after a chat, 72% resolved with no human, 16,600 conversations a month.

Read the story →

4FIZJO

How 4FIZJO resolves 61% of customer chats with AI

AskSpot's AI Chat resolves 61% of 4FIZJO's 21,360 monthly chats with no human across 6 markets; its Inbox Agent auto-resolves 25% of email tickets.

Read the story →

Meblobranie

How chat advice puts €1.9M of garden furniture in baskets a month

Meblobranie's AskSpot agent answers the questions garden furniture is bought on – size, colour, anchoring, spare nets. Chat advice puts €1.9M into the cart a month, 20% of chats fill a basket, 70% resolved.

Read the story →

Szopex

How one AI agent runs across Szopex’s three retail brands

One AskSpot agent runs across Szopex's three storefronts – Sklep Biegacza, Warsaw Sneaker Store and SKStore – on three e-commerce platforms. 67% of chats resolved, 58% product CTR, 11.7% end in a purchase.

Read the story →

moderno.dk

How moderno.dk resolves 64% of furniture chats with no human

moderno.dk's AskSpot agent resolves 64% of furniture questions with no human – delivery, sizing, stock and order changes – and turns 12.3% of chats into carts.

Read the story →

16case studies

See every story

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

Browse them all →

Testimonials

What our customers say

All testimonials

“The rollout took less time than we expected and did not require rebuilding our processes. The AskSpot team fit the solution to the way we work, not the other way around. We saw that flexibility at every stage, including when we raised feedback.

Before going live we tested the assistant on our own hardest questions and decided which cases it starts with. We are widening its scope step by step and still see room to grow. Repetitive questions no longer take up our advisors’ time, so they can spend it on the conversations that call for judgement and a human touch. Customers get accurate answers in the evenings and at weekends too, while our team’s working hours have stayed the same.”

EW

★★★★★

Ewelina Wiechetek

Head of Customer Experience, Meblobranie.pl

“AskSpot has changed the way we look at customer support. Your technology lets us reshape Customer Support roles into agent trainers and communication specialists – people who safeguard correct, on-brand communication while continuously improving the agent’s effectiveness through monitoring and knowledge-base optimisation. Today we see CS as a forward-looking role.”

Małgorzata Stachowiak

★★★★★

Małgorzata Stachowiak

Product & Promotion Manager, moderno.dk

“AskSpot has become important support for Ogrodosfera in day-to-day customer service – it answers repetitive questions about products, delivery, payments and orders quickly, even outside our consultants’ working hours, and helps customers search a broad catalogue: from parameters and dimensions to assembly, use and choosing accessories. It takes routine contacts off the team, giving shorter response times, more consistent communication and a better customer experience in peak season. We treat AskSpot not just as a support-automation tool, but as part of developing customer experience and sales.”

Michał Frączyk

★★★★★

Michał Frączyk

Sales Team Leader, Ogrodosfera

“AskSpot enables us to provide superior support for Ariston customers at every stage – from pre-purchase advice to post-sale and service assistance. Equally important, Ariston benefits from the valuable insights AskSpot delivers about customer preferences, which help us continuously improve the customer experience.”

Tomasz Guziewicz

★★★★★

Tomasz Guziewicz

E-Commerce Manager East Europe & Romania, Ariston Group

“We have been impressed by how AskSpot delivers a seamless experience for our customers while remaining incredibly intuitive for our own team to manage.

Beyond the ease of use, the detailed analytics and reports are of enormous value – they help us make better decisions around customer satisfaction. Behind AskSpot stands a team that puts innovation first and keeps developing the product to match changing business needs.”

Agnė Butkutė

★★★★★

Agnė Butkutė

Head of Contact Center, PHH Group

“AskSpot is a revolutionary solution for us. We provide our customers with the key information they need instantly while simultaneously reducing the workload of customer service.”

Dariusz Jodziewicz

★★★★★

Dariusz Jodziewicz

Quality Director, morele.net

18testimonials

See every testimonial

Read what the e-commerce teams who put AskSpot live say about working with it.

Check all the testimonials →

FAQ

Analytics & reporting – questions answered

What can I actually measure?

Three dashboards cover it: sales (revenue attributed to chat, conversion, product clicks, add-to-cart), resolution (how much the agent handles alone) and rating (customer satisfaction). The sales view is multi-currency.

Can I read individual conversations?

Yes. Every conversation is stored and searchable – filter by date, topic, page, channel, resolution and rating. Open one for the full transcript, an AI summary explaining the answer, and any conversion it drove.

Do I have to log in to see how it’s doing?

No – a weekly email report goes to the recipients you choose, with the top questions, where the agent helps and what to improve. You can also run a report on demand for any period up to 30 days.

How does it know a conversation was resolved?

After each conversation the AI assigns a topic and judges whether the customer got help, against definitions you can edit. That classification powers the resolution dashboard and the reports.

Which products is it available in?

Analytics are shared across both AskSpot agents – the AI Chat Agent and the AI Inbox Agent – so one set of dashboards and reports covers on-site chats and support tickets alike.

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.