Performance-based formulation design is a strategic approach in pharmaceutical development that focuses on creating drug products tailored to meet specific, predetermined clinical performance targets—such as dissolution rates, bioavailability, and stability—rather than relying solely on trial-and-error composition changes. There is a transition from conventional approaches based on experience to a more structured, technology-based system in Indonesia’s formulation industry. This transition reflects a trend in various industries toward increased precision and consistency. There is a surge in demand for functional foods, jamu-based products, and halal-certified cosmetics. This has encouraged a shift toward a more efficient approach to formulation. There is an increased need for consistency in terms of efficacy as well as improved user experience. This has encouraged a shift toward a more efficient approach to formulation. Thereby, advanced formulation intelligence has come to be recognized as a key facilitator of industry formulation innovation while helping companies improve efficiency, reduce uncertainty, and accelerate development timelines. [1]
How Indonesia’s Industry Applies Performance-Based Formulation Design for Advanced Formulation Intelligence
Performance-based formulation design is a strategic approach in pharmaceutical development that focuses on creating drug products tailored to meet specific, predetermined clinical performance targets—such as dissolution rates, bioavailability, and stability—rather than relying solely on trial-and-error composition changes. There is a transition from conventional approaches based on experience to a more structured, technology-based system in Indonesia’s formulation industry. This transition reflects a trend in various industries toward increased precision and consistency. There is a surge in demand for functional foods, jamu-based products, and halal-certified cosmetics. This has encouraged a shift toward a more efficient approach to formulation. There is an increased need for consistency in terms of efficacy as well as improved user experience. This has encouraged a shift toward a more efficient approach to formulation. Thereby, advanced formulation intelligence has come to be recognized as a key facilitator of industry formulation innovation while helping companies improve efficiency, reduce uncertainty, and accelerate development timelines. [1]
Performance-Based Formulation Design: Concept and Approach
Performance-based formulation design is a method of designing products in which they are formulated based on certain outcomes, rather than merely choosing a list of ingredients and determining their impact. This is a fundamental change from ingredient-based formulation to performance-based design.
In this type of design, developers begin with a list of key performance parameters such as stability, bioavailability, texture, and delivery efficiency, among others. This is a description of exactly how a product is meant to perform in real-world conditions. After this, the formulation is designed backward, selecting ingredients and processes that can achieve the desired outcomes.
This approach allows for greater precision and predictability in product development. Instead of relying on multiple trial iterations, formulators can use data and modeling tools to guide decisions, strengthening formulation optimization and improving formulation R&D efficiency. In Indonesia, this methodology is particularly relevant due to the increasing use of complex natural ingredients, where variability and interactions must be carefully managed to ensure consistent performance. [2]
Key Product Performance Analysis Parameters in Modern Formulation Design
The performance-based formulation approach is based on the optimization of several parameters, that collectively determine product success.
Functional Performance
This is the effectiveness of active ingredients in providing the desired benefit, which may be nutritional, therapeutic, or cosmetic in nature. For the functional performance to be effective, there is a need to select and ensure the compatibility of the active ingredients, as well as product performance analysis.
Stability & Shelf-Life
Stability is important to ensure product quality during its shelf life. Stability includes physical stability, such as the formation of phases, and chemical stability, including the degradation of active compounds. Advanced formulation techniques are aimed at improving the shelf life without compromising product performance.
Bioavailability & Delivery Efficiency
This is particularly important in the nutraceutical formulation development and functional foods. Bioavailability is the measure of the efficiency with which the active compound is made available to the body. Delivery systems such as encapsulation play a key role in improving this parameter.
Sensory Acceptability
The product’s taste and texture are important to ensure success in the market. Even highly functional products must meet sensory expectations to succeed in the market.
The parameters are mutually dependent, and hence, there is a need to optimize them multi-dimensionally optimization approach were improving one aspect does not negatively impact another.[3]
Emergence of Performance-Based Formulation Optimization as a Technology-Driven System
The development of performance-based formulation in Indonesia can be related to the adoption and application of digital technologies. Traditional formulation practices are being replaced by practices that make use of predictive modeling and data-driven decision-making for industry formulation innovation.
Role of Digital Technologies
Digital tools enable formulators to:
- Simulate the behavior of products before physical testing
- Reduce time and cost associated with formulation through formulation R&D efficiency
Predictive analytics allows for:
- Evaluate the interactions between ingredients
- Evaluate performance results under varying conditions
Adaptation in Indonesia
Industries in Indonesia are adopting these technologies while adapting them to the local context, which includes:
- Use of indigenous raw materials
- Compliance with halal standards
This combination of global technology and local expertise is enabling the development of innovative and culturally relevant products. [4]
Core Technologies Powering Advanced Formulation Intelligence in Indonesia
Advanced formulation intelligence is enabled by the availability of emerging technologies that improve both efficiency and accuracy in formulation optimization.
AI & Machine Learning in Formulation Design
Artificial intelligence is also employed to forecast interactions between various formulation ingredients and to optimize formulation combinations. Machine learning models can analyze historical data to identify patterns and recommend optimal solutions.
Simulation-Based Formulation Platforms
These platforms allow virtual testing of formulations, enabling developers to evaluate performance without conducting extensive physical experiments. This reduces time and resource requirements using computational formulation modeling.
Digital Twin Technology
An emerging concept, digital twins replicate formulation systems in a virtual environment. This allows real-time monitoring and prediction of product behavior, including stability and performance under various conditions.
High-Throughput Screening Systems
These systems enable rapid testing of multiple formulation variations simultaneously, accelerating the R&D process and improving efficiency.
Smart Ingredient Technologies
Technologies such as encapsulation and controlled release systems enhance the delivery and effectiveness of active ingredients, making formulations more efficient and targeted. [5]
Data-Driven Formulation Intelligence Systems
Formulation intelligence systems involve the use of combined data from different sources for effective decision-making processes. These systems combine analytical data, performance metrics, and sensory data into a single platform.
Technology Integration
Big data and cloud-based R&D technologies help in the real-time analysis and collaboration of data for the formulation process. The predictive models help the formulation process by anticipating the result and optimizing the formulation accordingly by product performance analysis.
Decision-Making Shift
The result is a shift from intuition-based decision-making to algorithm-driven processes. This not only improves accuracy but also reduces development time and enhances scalability through formulation R&D efficiency.
Indonesia-Specific Technology Adoption Trends
Indonesia’s approach to advanced formulation intelligence is the integration of traditional knowledge with advanced technology. The use of jamu-based custom herbal formulation systems is being enhanced through scientific validation and digital innovation for industry formulation innovation.
Platform and Data Development
There is also significant growth in halal formulation platforms that ensure that there is compliance with both religious and regulatory requirements while ensuring that there is product performance analysis. There is the development of local ingredient databases to gain a better understanding of the use of indigenous materials through computational formulation modeling.
Innovation Ecosystem
There is significant innovation in Indonesia through the integration of startup ecosystems with both research organizations and manufacturers to create a rapid innovation ecosystem for advanced formulation innovation. [6]
Industry Applications Driven by Recent Technologies in Indonesia
Industry | Key Technologies Applied | Formulation Application Area | Performance Optimization Focus | Outcome / Industry Impact |
Food | Simulation tools, AI | Texture and shelf-life optimization | Stability, consistency | Improved product quality, reduced trials |
Nutraceutical | Encapsulation, ML models | Bioavailability and delivery systems | Absorption, controlled release | Enhanced efficacy, optimized performance |
Cosmetic | Digital platforms, AI | Skin compatibility and formulation design | Dermal delivery, stability | Faster development, improved effectiveness |
Industry Insight: Food Research Lab Case Study (Indonesia-Based Nutraceutical Brand)
Client Requirement
An Indonesia-based nutraceutical company, developing a functional herbal dietary supplement containing Curcuma longa (Turmeric Extract), Zingiber officinale (Ginger), and Moringa oleifera, aimed to develop the product’s performance. The product required enhanced bioavailability of curcumin, improved stability, and consistent delivery of active ingredients while reducing development time.
Challenges Identified
The nutraceutical formulation company had to overcome challenges related to the low bioavailability of curcumin, inconsistency in herbal raw materials, and stability concerns related to the oxidation and moisture sensitivity of the herbal raw materials. There were oxidation and moisture sensitivity problems, which were causing batch-to-batch variation in product performance analysis.
FRL Approach & Technology Used
To solve this problem, FRL applied a performance-based formulation approach by using encapsulation technology to enhance the bioavailability of curcumin, using AI-driven optimization to balance ingredient ratios, conducting simulation-based stability testing, and performing analytical validation to ensure consistent performance.
Outcome & Impact
The performance-based approach resulted in the improvement of the bioavailability and absorption efficiency of curcumin, improved stability, consistent performance, and reduced time required to develop the nutraceutical formula, leading to a market-ready nutraceutical formula.
Conclusion
The performance-based formulation was instrumental in achieving significant enhancements in bioavailability, stability, and batch consistency, leading to a reliable high-performance nutraceutical product. The encapsulation, AI, and simulation technologies used reduced time to market while ensuring quality nutraceutical products through formulation R&D efficiency.
Looking to develop advanced, high-performance nutraceutical products? Partner with Food Research Lab for end-to-end nutraceutical product development, science-backed formulation and product development solutions.
References
- Zhang, Z.-H., & Pan, W.-S. (2013). Formulation tools for pharmaceutical development. In Formulation tools for pharmaceutical development. https://www.sciencedirect.com/topics/pharmacology-toxicology-and-pharmaceutical-science/formulation-design
- Pujari, R. A., & Kare, D. J. (2025). Formulation development. International Journal of Research Publication and Reviews, 6(12), 5806–5812. https://ijrpr.com/uploads/V6ISSUE12/IJRPR57885.pdf
- Shankar, R. (n.d.). Textbook of regulatory affairs, intellectual property rights, patents and quality assurance. BSP Publications. https://bspublications.net/downloads/068a6b53d216de_Ch-1_Ravi%20Shankar_Textbook%20of%20Regulatory%20Affairs,%20Intellectual%20Property%20Rights,%20Patents%20and%20Quality%20Assurance.pdf
- Vengateswaran, H. T., Habeeb, M., Ahmed, R., You, H. W., Kumbhar, S. T., Lakshmi, K. N. V. C., & Gorde, P. L. (2026). Integrating artificial intelligence for design, optimization and pharmacokinetic prediction in nanoparticle-based drug delivery. Journal of Drug Delivery Science and Technology, 115(Part 2), 107805. https://doi.org/10.1016/j.jddst.2025.107805
- Seminar, K. B., Damayanthi, E., Priandana, K., Imantho, H., Ligar, B. W., Seminar, A. U., Krishnajaya, A. D., Aditya, M. R., Suherman, M. I. H., & Fillah, I. F. (2025). AI-based system for food and beverage selection towards precision nutrition in Indonesian restaurants. Frontiers in Nutrition, 12, 1590523. https://doi.org/10.3389/fnut.2025.1590523
- Rustandi, T., Prihandiwati, E., Nugroho, F., Hayati, F., Afriani, N., Alfian, R., Aisyah, N., Niah, R., Rahim, A., & As-Shiddiq, H. (2023). Application of artificial intelligence in the development of jamu (traditional Indonesian medicine) as a more effective drug. Frontiers in Artificial Intelligence, 6, 1274975. https://doi.org/10.3389/frai.2023.1274975
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