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Konesso AI Sales Agent: 2,390 conversations to 43,320 EUR revenue

How Konesso engaged 2,390 high-intent shoppers and converted 16.2% of them to purchase with AskSpot AI shopping assistant - Polish specialty coffee case study with real chat conversations and ROI numbers.

01

Client

Konesso.pl

02

Industry

Specialty coffee & espresso machines

03

Monthly visits

245K

04

Country

Poland

05

Avg cart value

112 EUR

06

Period covered

April 2026

Key Results

16.2%
Conversation to purchase rate
76.7%
Questions resolved by AI
43,320 EUR
Attributed revenue (4 weeks)
2 390
High-intent conversations

Solution Used

  • AI Contextual Search - conversational product discovery from product feed
  • Product Q&A - answers from product card (description, specs, reviews)
  • Buying guides - AI + advisory content for specialist coffee/espresso categories
  • Cross-sell automation - accessories matched to purchased machines (descalers, filters)
  • Active advisor - alternatives proposal when SKU unavailable
  • Multi-language Gen AI (configured for Polish primary)

Written by

Paweł Bieńko
Operations Director
~6 min

The Challenge

  • Espresso machines require detail-level expertise (specs, accessory compatibility, model availability). Pre-AskSpot - either the advisors spent hours with each client, or the clients left.
  • 200+ espresso machines in the 235-1,650 EUR range. Without expert advisory, customers couldn't pick. Conversion on premium products was low.
  • After purchaing an espresso machine, customers weren't guided to accessories (descalers, filters, coffee). Missed AOV uplift.
Common customer questions Konesso shoppers asked the AI chat — four chat bubble examples

Implementation Goals

  • Engage high-intent shoppers at the decision moment
  • Provide expert-level product advisory at scale
  • Automate cross-sell and accessory recommendations
  • Increase conversion rate above industry baseline
  • Reduce customer support workload on specialist questions

The Solution

Part 1:
Curated discovery with AI Contextual Search

AskSpot replaced the static product list with a conversational interface. Customers describe what they need (by use case, technical requirement, or flavor profile) and the chat returns a curated 3 to 5 product selection from the live product feed.

  • Real-time integration with the product catalog
  • Natural language understanding (Polish primary, multilingual ready)
  • Activation rules on PDP and category listings, where 73% of conversations happen
Part 2:
Expert advisory and automated cross-sell

Beyond search, AskSpot delivers specialty knowledge that previously required a senior support agent. Coffee profile matching, espresso machine technical comparisons, descaler compatibility, and warranty advisory all run in-chat with verified product data.

  • Brand-trained knowledge base for premium products (Jura, Nivona, Melitta, Sage)
  • Active advisor: proposes alternatives when a SKU is unavailable
  • Cross-sell automation matching accessories to purchased machines

Results

  • 16.2% conversation-to-purchase rate, 5-15× above standard ecommerce
  • 76.7% of questions resolved by chat without human handoff
  • 51.9% of carts created in chat finalized as sales
  • 11.2% direct attribution: customer bought exactly the SKU AskSpot recommended
  • +14% total store conversion lift (modeled with conservative 2% chat-engagement rate)
  • Currency converted from PLN at ECB rate of 1 PLN = 0.2355 EUR (May 2026)
AskSpot doesn't just answer questions - it sells. In four weeks it generated 43 000 EUR of attributed revenue, with one in six conversations ending in a purchase. The numbers we'd hoped for from a chatbot, we got from AskSpot in the first month.
Paweł Bieńko
Chief Operating Officer, Konesso.pl

Why it worked

Customers reached at the decision moment
73% of conversations happen on PDP and category listings, exactly when the customer is closest to buying. AskSpot intercepts and converts.
Curated selection over search results
Instead of returning 200 products to scroll, AskSpot picks 3 to 5 that match the customer's exact criteria. Shorter path equals higher conversion.
Specialist knowledge at scale
Brand-trained AI handles questions a generalist chatbot cannot: espresso specs, water hardness, descaler compatibility, coffee taste profiles. Always available, always accurate.
Native cross-sell and AOV uplift
After a machine purchase, AskSpot proactively proposes original and universal descalers, filters, and starter coffee. AOV grows without manual configuration.

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