In sports nutrition and habit change, operational efficiency is key to growing without compromising quality.
Sergi Pérez Gil, dietitian-nutritionist and founder of SP Dietista, transformed a fully manual workflow into a dynamic system that allowed him to scale his practice while maintaining personalization.
Client profile
- Professional: Sergi Pérez Gil
- Center: SP Dietista
- Sector: Sports nutrition, habits, and lifestyle
- Team: 1 nutritionist
- Volume: 222 active patients
- Time using INDYA: 15 months
Initial situation
Before implementing INDYA, Sergi worked with a fully manual system based on personalized PDFs.
Each nutrition plan involved:
- Manual macronutrient calculations
- Adjusting foods one by one
- Constantly reviewing food equivalents
- Resending documents whenever a change was needed
Although this model was precise, it created a major operational bottleneck.
Main limitations
High time investment
- 60 to 90 minutes per initial plan
- An additional 30 to 45 minutes for revisions involving changes
Inefficient change management
- Every adjustment required rebuilding the full plan
- Limited flexibility during changing phases, such as cutting, bulking, or other goal-based periods
Overload from small adjustments
- Between 15 and 25 weekly inquiries
- Food swaps, quantity changes, and questions about the PDF
Limited adherence
- Estimated adherence: 60–65%
- Drop-off or low engagement before the third month: up to 40%
“The biggest problem wasn’t the technical side. It was the time required and the lack of flexibility in follow-up.”
Implementation
Sergi decided to centralize his methodology in INDYA to automate processes and improve the patient experience.
Main changes
Automated nutrition calculations
- Automatic calorie and macronutrient adjustments
- Instant modifications without rebuilding the plan
Food equivalents and substitution system
- Greater flexibility for the patient
- Fewer operational questions
Simplified periodization
- Phase and calorie adjustments in seconds
A new way to interact with patients
- From a static model — PDF — to a dynamic model — app
- More patient autonomy
- Continuous follow-up instead of reactive support
The interaction shifted from answering technical questions to focusing on strategy, adherence, and results.
Quantified results
After approximately 15 months of use, the results show a clear improvement in efficiency, adherence, and scalability.
1. Planning time reduced by 60–70%
- From 60–90 minutes per plan
- To 20–30 minutes in most cases
Key improvement: more time dedicated to strategy and follow-up.
2. Improved adherence by 15–20%
- From 60–65%
- To significantly higher levels thanks to:
- System flexibility
- A better user experience
- Real-time adaptation
3. Business scalability: up to 222 active patients
The evolution in patient volume shows a sustained growth trend, reaching 222 active clients.
Key factor: automation made it possible to handle more volume without increasing team size.
4. Client retention and experience
- Longer average retention: more than 3–4 months
- Increase in longer-term processes
- More word-of-mouth referrals
5. Business impact
- Ability to support more clients with the same team
- Opportunity to increase prices thanks to:
- Greater professionalization
- A better service experience
Methodology and verification
Data was obtained from:
- Internal planning records and work-time tracking
- Usage and follow-up metrics within INDYA
- Evolution of active patients during the analyzed period
Results were validated by the professional himself during his daily operations.
Expert Insight
“What I value most is being able to offer fully personalized and dynamic plans that adapt in real time to each client’s changes and needs, improving their motivation, adherence, and results.”
Sergi Pérez Gil – Dietitian-Nutritionist, SP Dietista
INDYA · Professional Nutrition Software
Personalized nutrition planning, continuous client tracking, and complete practice management — all in one platform designed for nutritionists and nutrition teams.
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