Proprietary IP & Patents
Protecting the ideas and technologies behind our approach to pricing, promotion and decision intelligence.
Gestalt is developing a portfolio of patent-pending technologies designed to help enterprises better understand market response, simulate commercial outcomes and evaluate alternative decisions.
Multi-Dimensional Contextual Elasticity
Understanding how market response to pricing and commercial actions changes across multiple, interacting business conditions.
Executive Summary
Multi-Dimensional Contextual Elasticity moves beyond static elasticity by learning how market response changes with context—across interacting factors such as customer, product, channel, timing, competition and market conditions.
What It Does
Traditional elasticity models often estimate a relatively fixed relationship between price and demand. But in real markets, the same price change can produce very different responses depending on the surrounding business context. Multi-Dimensional Contextual Elasticity models this variability by evaluating how multiple contextual factors interact to influence market response.
Rather than asking only: How sensitive is demand to price? it asks: How does that sensitivity change under different combinations of business conditions? This allows elasticity to be understood at a more decision-relevant level, helping enterprises distinguish between situations where a price action may have a strong impact, a limited impact, or a materially different response altogether.
How to Think About It
Context
____________
Business Condition
Elasticity
____________
Context Specific Elasticity
Respond
____________
Observed Market Response
Decision
____________
Pricing Action
Why It Matters
The approach helps enterprises move beyond broad or static price-response assumptions toward a more granular understanding of when, where and under what conditions market response changes. This creates a stronger foundation for pricing, promotion and commercial decision intelligence.
Gestalt has filed a provisional patent application covering aspects of the Multi-Dimensional Contextual Elasticity technology.
Context-Adaptive Commercial Scenario Simulation
Evaluating how strategic choices and market volatility interact to shape long-term outcomes.
Strategic Overview
Dynamic Commercial Scenario Simulation continuously recalibrates internal predictive models as market forces and corporate choices shift, providing a reactive framework for high-stakes business path-dependency testing and analysis.
Operations
Conventional modeling tools typically assume that the external environment stays static throughout a forecast.
However, singular business moves often trigger a chain reaction of new market realities.
Adjusting price points shifts volume, which impacts supply chains and competitor posture. These shifts create a new context, meaning the original logic used to predict the first move may no longer be accurate for the next.
Our simulation technology solves this by automatically refreshing the intelligence layer at every milestone within a projected sequence.
Instead of asking only:
What is the immediate result of this move?
How does the chain of market reactions redefine the possibilities for our subsequent strategic decisions?
we pose:
This methodology allows leadership to visualize a complex web of interrelated events rather than relying on a simplistic linear projection.
How to Think About It
Decide
Commercial Action
Respond
Market Response
Reassess
New Context
Adapt
Updated Response Intelligence
Continue
Next Decision
Core Benefits
This method facilitates a deeper exploration of path-dependent commerce, where successful navigation relies on responding to how a market absorbs a change rather than just executing a pre-conceived plan without adjustment.
It offers a sophisticated environment for stress-testing growth initiatives and discount structures before capital is committed.
Price It On has submitted a formal patent application regarding the proprietary Context-Adaptive Commercial Scenario Simulation engine.
Virtual Market Surrogate
Testing alternative commercial decisions against a dynamic representation of the market.
Executive Summary
Virtual Market Surrogate creates a decision-focused representation of the market that enables enterprises to evaluate alternative pricing, promotion and commercial actions before implementation.
What It Does
Historical data tells us how the market responded to decisions that were actually made. It cannot directly show how the market might have responded to decisions that were never taken.
Virtual Market Surrogate addresses this gap by creating a useful representation of the market using observable data together with modeled, derived and inferred intelligence about market behavior.
Rather than attempting to recreate the entire market, it focuses on the elements that matter to the commercial decision being evaluated. Alternative actions can then be tested against this market representation.
The key question shifts from:
What is likely to happen next?
to:
What could happen if we made a different decision?
How to Think About It
Observe
Market Signals
Represent
Market Surrogate
Test
Alternative Actions
Decide
Commercial Decision
Learn
Market Response
Why It Matters
The approach moves commercial intelligence beyond prediction toward decision testing—helping enterprises evaluate alternative actions against an evolving understanding of the market rather than relying only on historical precedent.
Gestalt has filed a provisional patent application covering aspects of the Virtual Market Surrogate technology.