AI & SaaS
Platform Design
Retention & Engagement
Bennit AI Marketplace

Bridging the IloT Talent Gap with AI-Driven Design

23
%
Community Membership
23% Surge in Community Membership: Achieved within 3 months post-launch.
200
+
Opportunities Created
200+ Opportunities Created: Ranging from short-term fixes to long-term collaborations in the first month.
Case Cover

The Industrial Internet of Things (IloT) sector faced a critical talent shortage, with companies struggling to find skilled professionals for niche projects.

BennitAI's existing corporate network lacked scalability, resulting in low engagement and fragmented collaboration. The goal was to design a two-sided marketplace connecting "Seekers" (companies with project demands) and "Solvers" (skilled professionals) while reducing onboarding friction.

Struggles

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Reducing Onboarding Friction: The marketplace design focused on streamlining the onboarding process for both Seekers and Solvers, ensuring a seamless entry into the platform.
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AI-Driven Matching: Leveraged AI to enhance user engagement by providing relevant matches, which can be applied to future AI-powered onboarding solutions.

Key Lessons

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Importance of AI in Matching: Highlighted the potential of AI to enhance user experience through personalized recommendations.
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Cross-Functional Collaboration: Demonstrated the value of aligning teams to streamline development and improve product outcomes.
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Future Applications in AI-Powered Onboarding: Showcased how AI-driven design can be adapted to optimize onboarding processes in other contexts.

Deliverables

Ecosystem Mapping

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Conducted stakeholder analysis across IloT companies to identify pain points such as "endless back-and-forth emails" and "unclear project scoping."

2 Sides Marketplace

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Designed user flows allowing companies to act as both Seekers and Solvers, mirroring Airbnb's host/guest flexibility.

AI-Powered Matching

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Developed a dynamic algorithm to recommend Solvers based on project complexity, location, and past success metrics.

Design System Adaptation

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Reused Atlas' modular components for rapid MVP development, ensuring consistency and reducing UI debates by 30%.

Outcomes

23
%

Community Membership

23% Surge in Community Membership: Achieved within 3 months post-launch.
200
+

Opportunities Created

Ranging from short-term fixes to long-term collaborations in the first month.
Katherine Calahann
BennitAI

Katherine Cahalane

CEO

The IIoT talent crisis is paralyzing our industry. BennitAI’s community exists to help companies find niche experts, and our fragmented network couldn't scale. We needed an AI-driven intelligence to connect 'Seekers' and 'Solvers' at speed.

Rodrigo was brilliant to conceptualise and design the Seeker-Solver exchange presented at CSIA, which transformed an industry block into fluidity. A system enabling AI matching that recommends talent based on project DNA. The results spoke instantly.

Seeker-Solver Exchange

Bridging the IloT Talent Gap with AI-Driven Design
Bennit Marketplace
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