AI personalisation engine
Personalised fitness goals built from user inputs, history, and progress patterns, adapted for time-constrained schedules.
Case Study · FITNESS · COMMUNITY
Sweatscore: Community fitness for busy women
AI-personalised goals + community accountability.
The story
What Sweatscore needed, and what we built.
Generic fitness apps fail busy women, the routines don't fit, the community doesn't relate. Founder Rachael wanted a fitness platform built specifically for busy women that combines AI personalisation with community accountability. KUMO built the AI personalisation engine and the mobile app.
What we delivered
Six areas of production work.
Monthly community challenges
Group challenges with active recurring participation, progress tracking, and accountability mechanics.
Daily check-ins
Lightweight habit-building flow with weekly goal review and momentum signals.
Goal tracking & analytics
Visualised progress across cardio, strength, mobility, and wellness habits.
Cross-platform mobile
iOS + Android with consistent UX and offline tolerance for in-gym use.
Designed for busy women
Product decisions made from research with the target audience, not generic fitness tropes.
Highlights
Project highlights.
More work.
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