Allocate3M
Resource allocation
Only for iPhone
Free · In-App Purchases
iPhone
Machine learning and data analytics are increasingly being used for resource allocation, increasing growth rates or reducing volatility by allocating limited financial, human, technological, time, or natural resources to the tasks and projects that need them most. The “Mean-Variance” Model is the most classic resource allocation model and is widely used in various industries.
Common application scenarios:
1. Seeking the allocation weights with the highest growth rate under a specific level of volatility.
For example, you can allocate resources based on historical sales data from 500 European retail stores. The “Mean-Variance” model uses the Monte Carlo method to find a set of allocation weights that have the optimal sales growth rate.
2. Weights are assigned based on volatility in order to seek stability.
For example, you can allocate your procurement budget based on the historical raw material prices of 300 suppliers in the Asia-Pacific region. The “Risk-Parity” model uses Newton's method to find a set of allocation weights with equal volatility to reduce the risk of raw material price fluctuations.
Allocate3M combines three models: “Mean-Variance”, “Black-Litterman”, and “Risk-Parity”, to help you optimize resource allocation results from different perspectives.
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The developer, Chu-Yi Chang, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .
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The developer does not collect any data from this app.
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Information
- Provider
- Chu-Yi Chang
- Size
- 12.6 MB
- Category
- Productivity
- Compatibility
Requires iOS 26.2 or later.
- iPhone
Requires iOS 26.2 or later.
- iPhone
- Languages
English and 9 more
- English, French, German, Italian, Japanese, Korean, Russian, Simplified Chinese, Spanish, Traditional Chinese
- Age Rating
4+
- 4+
- In-App Purchases
Yes
- Pro100 USD 7.99
- Pro60 USD 6.99
- Pro30 USD 4.99
- Copyright
- © 2026 kddkit.com
