Well Principled
What does it do?
- Product Development
- Testing and Selection
- In-Silico Simulation
- Price Elasticity Quantification
- ROI Optimization
How is it used?
- Use web app to analyze testing data
- predict product success.
- 1. Access web app
- 2. Combine data
- 3. Predict success
Who is it good for?
- Data Scientists
- Sales Managers
- Marketing Strategists
- Product Development Professionals
- Supply Chain Analysts
What does it cost?
- Pricing model : Unknown
Details & Features
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Made By
Well Principled -
Released On
2018-10-24
Well Principled's Nucleus software platform is an AI-powered solution designed to enhance product development processes for science businesses. It combines artificial intelligence with a comprehensive database of academic literature to streamline early-stage testing and selection, making product development more efficient and cost-effective.
Key features:
- AI Model-Assisted Selection: Analyzes company testing data alongside causal mechanisms from academic literature to identify promising products with greater accuracy while reducing early-stage testing needs.
- In-Silico Simulation: Predicts performance of product candidates, enabling businesses to eliminate less promising options early in development.
- Mechanism Disentanglement: Helps businesses understand why certain products work by unraveling complex mechanisms, accelerating candidate advancement.
- Price Elasticity Quantification: Automatically analyzes historical data to optimize promotions and pricing strategies for maximum profit.
- ROI Optimization: Analyzes and optimizes return on advertising spend by integrating supply chain data and customer feedback, improving forecast accuracy and cost optimization.
How it works:
1. Integrates with a company's existing data sources.
2. Combines company testing data with a proprietary simulation model built on causal mechanisms.
3. Predicts product success likelihood, reducing broad early-stage testing.
4. Advances product candidates efficiently by manipulating underlying mechanisms.
5. Plans promotions and pricing strategies using price elasticity quantification and ROAS optimization.
Use of AI:
Nucleus employs advanced machine learning algorithms for complex data analysis and simulation tasks. It uses AI to analyze testing data, predict product performance, and optimize various aspects of product development and marketing.
AI foundation model:
The platform's AI features are built on advanced machine learning algorithms capable of handling complex data analysis and simulation tasks.
Target users:
- Science and consumer goods businesses
- Companies facing challenges in early-stage product testing
- Organizations seeking to optimize product development pipelines
- Businesses looking to improve mechanism understanding and market analysis for pricing and promotions
How to access:
Nucleus is available as a web-based application, accessible from any location without requiring specialized software installation.
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Supported ecosystemsUnknown
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What does it do?Product Development, Testing and Selection, In-Silico Simulation, Price Elasticity Quantification, ROI Optimization
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Who is it good for?Data Scientists, Sales Managers, Marketing Strategists, Product Development Professionals, Supply Chain Analysts
PRICING
Visit site| Pricing model: Unknown |