Quantitative decisions
made transparent.
Massive Dynamics uniquely combines machine learning and constrained optimization to solve high-dimensional problems across the value chain, particularly in CPG and retail.
Technology
Our Edge.
The main pillars that enable and empower our enterprise solutions.
Glass box technology
We developed a proprietary feature selection technology that allows us to introspect complex data and to uncover true underlying relationships. Robust against high correlations, our technology is effective at breaking down complexity.
Machine Learning integrated in large-scale optimization
Our proprietary framework efficiently stores and queries a large number of machine learning models in constrained optimization, while taking into account differentiability and convexity. These properties are essential to computational speed and quality of results.
Prescriptive, Interpretable, and Actionable Recommendations
The recommendations generated by our solutions are clearly interpretable, reflect business guidelines and satisfy operational constraints. The underlying quantitative drivers are provided to business executives, ensuring a smooth transition from recommendation to decision.
Bespoke configurations
Our enterprise solutions are designed to be easily configurable to meet the varying needs across different industries and in different market conditions.
Solutions
What We Build.
Three domains where our products consistently outperform conventional analytics solutions.
Why This Problem Is Complex
Trade promotions consume about 20-30% of gross revenue in most CPG companies — yet 59% of trade promotions lose money for the manufacturer.¹ For large CPG companies, there are millions of product-retailer-timing-promo combinations. This complexity, together with dozens of business considerations and operational constraints, makes the problem of finding optimal promotion plans very challenging to solve using conventional approaches.
1. Nielsen, “Trade promotion doesn’t have to be a guessing game,” 2016.
What We Do That Others Can't
Our Trade Promotion Optimization solution, built on advanced machine learning models and optimization methods, allows us to accurately model and optimize real-world promo plans of large CPG product portfolios across many retailers. We support highly-customized user-specified constraints and multiple business objectives including profit, revenue, and other metrics. All while providing optimized results within minutes.
Capabilities and Modules
- Full Promo Calendar Optimization
- Scenario Simulation
- Accurate Sales Forecasting
- Cannibalization Modeling
- Prescriptive Recommendations
Trusted by leading brands
Careers
Scientists, Mathematicians, and
Engineers.
A unique blend of academic rigor and enterprise experience to tackle problems that require both.
Contact
Ready to Face Your
Hardest Problems?
Whether you're dealing with promotional inefficiency, pricing challenges, or supply chain uncertainty — or difficult problems that don't fit into these categories — we'd love to hear about it.
Address
One Palmer Square, Suite 530
Princeton, NJ 08542