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NSP Soccer — AI Nutrition Intelligence System

Engineering that drives human behavior — not just features.

Production-grade mobile platform with automated tracking and real-time insights

10 Seconds
Food Logging Time
Mobile-First
Production Platform
AI Vision
Instant Recognition

The Client

NSPSoccer develops elite players to reach their highest athletic potential. They needed modern technology to support athlete health habits at scale—moving beyond manual spreadsheets to an automated, intelligent system.

The Challenge

The nutrition tracking system was failing on multiple fronts:

  • Athletes weren't logging consistently — retention tanked after onboarding
  • Coaches lacked reliable data to influence performance decisions
  • Manual food entry felt slow — friction-heavy logging killed engagement
  • Processes were inaccurate — manual tracking produced unreliable insights

Low engagement → no data → no coaching impact → no athlete results.

The Solution

We engineered a modern AI-driven nutrition system that:

  • Uses computer vision to log food instantly — snap a photo, AI recognizes it
  • Drives daily behavior via automated resets — encourages consistent habit formation
  • Provides coaches trustworthy real-time insights — dashboards with actionable athlete data
  • Eliminates friction with "Recently Scanned" UX — one-tap re-logging for repeat meals
  • Supports future revenue via parent portals + analytics — built for monetization and scale

A production-grade mobile platform built to drive behavior, not just track it.

The Impact

  • Faster logging → 10-second food entries via AI vision
  • Habit-building architecture → return usage rates increased
  • Trusted data for coaches → better coaching decisions backed by reliable metrics
  • Infrastructure for scale + monetization → parent portals and premium analytics ready

Result: NSPSoccer now has a system that solves nutrition engagement and delivers actionable insights.

"Bella engineered a system that finally solved nutrition engagement for our players. We now have data we can act on."

— Heath Martin, NSPSoccer

What This Case Study Proves

This project demonstrates:

  • Product engineering execution — not just sales automation, but behavioral systems
  • Technical depth — AI vision integration, real-time data pipelines, mobile platform architecture
  • User psychology — designing for retention, engagement, and habit formation
  • Monetization thinking — built with future revenue streams in mind

Need a System That Drives Behavior?

Whether it's sales automation, operational workflows, or behavioral platforms — we engineer systems that work.

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