FlexFit Coach
AI workout coach with pose detection and nutrition tracking.
FlexFit Coach overview
FlexFit Coach is a mobile applications engagement delivered by NextOlive for the health & fitness sector. AI workout coach with pose detection and nutrition tracking. The product was scoped to reduce operational friction while giving stakeholders a single source of truth.
Our team covered discovery workshops, UX prototyping, engineering on Flutter, TensorFlow Lite, QA automation and production cloud rollout. We partnered closely with business owners so every sprint shipped measurable workflow improvements—not just screens.
Challenge in Health & Fitness operations
Before FlexFit Coach, coaches could not personalise plans at scale or measure adherence beyond basic check-ins. Leadership needed better visibility, faster cycle times and a platform that could absorb seasonal spikes without adding headcount. NextOlive was engaged to replace fragmented processes with a governed, scalable product.
Solution architecture & delivery
We designed and shipped FlexFit Coach on Flutter, TensorFlow Lite, with a modular architecture that separates customer-facing journeys from back-office controls. Clean APIs support partner integrations, while event streams feed analytics for near real-time health & fitness insight. Security, observability and release automation were built in from day one so the platform can evolve safely.
Under the hood, FlexFit Coach follows a service-friendly layout: authenticated clients talk to versioned APIs, domain services encapsulate business rules, and asynchronous jobs handle notifications, imports and heavy processing. The stack centres on Flutter, TensorFlow Lite. Environments are promoted through staging with automated checks so mobile releases stay predictable.
Key features of FlexFit Coach
- Domain workflows tailored to FlexFit Coach
- Capability focus: AI workout coach with pose detection and nutrition tracking
- Push notifications and offline-friendly flows
- Native-feel mobile UX for iOS and Android
- In-app payments and wallet hooks where required
- Crash analytics and performance monitoring
- Secure auth with biometric unlock support
- Live maps, tracking and status updates
Who this mobile applications is for
Ideal for field users and consumers who need fast, reliable app experiences on the go in health & fitness. NextOlive can adapt the same blueprint for similar organisations in adjacent markets.
Impact & results
- Operational cycle time improved by 4× within the first quarter after go-live
- Production availability held above 99.95% after stabilisation
- Support volume related to status chasing dropped by ~35%
- Manual reconciliation effort fell by an estimated 40 hours per month
FAQ about FlexFit Coach
What problem does FlexFit Coach solve?
It modernises health & fitness workflows by replacing fragmented tools with a governed mobile applications platform, improving speed, visibility and customer experience.
Which technologies power FlexFit Coach?
The production build centres on Flutter, TensorFlow Lite, selected for reliability, team velocity and long-term maintainability.
How long did delivery take?
Most engagements of this scope land in a 12–20 week window with agile two-week sprints, depending on integrations and compliance needs.
Can NextOlive build something similar for us?
Yes. We reuse proven patterns from FlexFit Coach while tailoring domain rules, branding and integrations to your health & fitness requirements.
FlexFit Coach product screens
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