Case studies

How leopard.ki helps to solve problems.

[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.

[interface] image carousel of ai innovations (for an ai healthcare company)
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, scalable support beyond business hours .

image of ai course modules on screen
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, reduced workload in early-stage sales clearer starting point for conversations.

image of ai course modules on screen
Customer: ESSER Group (digital printing)

Challenge: Highly complex offers with many variables and time-consuming manual preparation.

‍Solution: A structured system that captures all parameters and prepares proposal-ready data.

‍Result: Faster proposal creation, reduced manual calculation effort, structured data for sales, offer preparation available 24/7.

[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.

[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.

[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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