References

AI product advice in practice.

From measurement technology to hazardous materials storage, from real estate to onigiri. How companies in B2B and B2C use leopard.ki to advise their customers and receive better inquiries.

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Customer: messwelk GmbH

Challenge: Highly complex products with over 100 variants required intensive consultation and multiple clarification rounds.
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‍Solution: A structured, dialog-based product advisor guides users through use cases and captures all technical requirements.

‍Result: Significantly reduced consulting time, fewer follow-up questions, structured, sales-ready inquiries and support beyond business hours.

[digital project] a graphic design (for a ai legal tech company)
Customer: ACS International GmbH

Challenge: Inconsistent product knowledge across markets and high onboarding effort for partners.
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‍Solution: A multilingual, structured product advisor ("Smart Tool Finder") for partners and customers.

‍Result: Consistent global product consulting, reduced onboarding effort, faster access to information, scalable international sales support.

[interface] image carousel of ai innovations (for an ai healthcare company)
Customer: LDB Munz GmbH

Challenge: Complex requirements for hazardous materials storage and different substance classes, regulatory constraints led to high consultation effort and multiple clarification loops.
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‍Solution: A structured, dialog-based advisory assistant guides prospects step by step through their requirements.

‍Result: Significantly reduced coordination time, fewer follow-up questions.

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Customer: ESSER Group (digital printing)

Challenge: Highly complex inquiries with many variables and time-consuming manual clarification.

‍Solution: A structured, dialogue-based advisor captures all relevant parameters directly in the conversation with the prospect.

‍Result: Complete, structured inquiries for sales, fewer follow-up questions, reduced manual effort, needs assessment available 24/7.

[digital project] a graphic design (for a ai legal tech company)
Customer: ON-MPU GmbH

Challenge: High traffic but unstructured leads and repetitive clarification in sales conversations.

‍Solution: A structured advisory landing page that qualifies visitors before contact.

‍Result: Better qualified leads. Reduced clarification effort, more efficient campaign performance, scalable lead generation.

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Customer: Lerch & Partner AG

Challenge: High volume of repetitive questions and unclear inquiries from website visitors.

‍Solution: A structured advisory layer guides users through available properties and captures relevant criteria.

‍Result: Fewer repetitive questions, better prepared customer inquiries, less workload in early-stage sales and a clearer starting point for conversations.

[digital project] a graphic design (for a ai legal tech company)
Customer: RICE-UP ONIGIRI GmbH

Challenge: Onigiri are still largely unknown in Germany — familiar mainly within vegan communities and among people who've traveled to or lived in Japan, plus a loyal following in Berlin, RiCE UP's home city. Many shop visitors have only seen the product online and never tasted it, leaving them unsure whether to buy.

‍Solution: A dialogue-based advisory page that gives undecided visitors the product knowledge they're missing — what onigiri are, how they taste, what makes them different — turning curiosity into confidence.

‍Result: Better-informed visitors who buy with conviction, both directly in the shop and in-store at retail locations.

Customer voice

“The quality of our inbound has changed completely.”

What comes through are no longer raw contacts. These are pre-qualified, well-informed prospects who already know what they want. The amount of human consultation required has dropped significantly.

Juri Schmidt, On Mpu GmbH

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