Importance of Customer Insights
The Gestalt Customer Centricity (GCC) Suite is an AI-powered customer and channel intelligence platform that helps enterprises understand how customers and intermediaries engage across journeys. It unifies customer, dealer, agent, and partner data to drive smarter experience-led growth decisions.
Segmentation & Behavioral Intelligence
Identify distinct customer and channel segments using behavioral, transactional, and engagement signals. Understand motivations, needs, and sensitivities across customers, dealers, agents, and partners.
Personas & Journey Mapping
Design data-backed personas and map end-to-end journeys across customer and channel touchpoints. Surface friction, drop-offs, and moments that matter across sales, service, and engagement journeys.
Growth, Productivity & Retention Intelligence
Predict churn, identify growth opportunities, and improve sales velocity, marketing ROI, and channel productivity through targeted, insight-driven interventions.
Best-in-class customer insights excellence requires
Scale & Complexity: Customers interact across multiple channels and touchpoints. AI-driven insights unify these interactions into actionable intelligence.
Behavioral: Insights that drive actions and business.
Velocity: Customer behaviors shift in real-time. Businesses must continuously monitor and adapt.
AI-Driven Recommendations: Data analysis predicts needs and recommends actions at the right moment.
Experience and Business Results: Focus on improving customer experiences and business results, including productivity enhancements and operational improvements.
Actioning: Support for automated actioning on recommendations.
Consumability: Representing customer profiles and insights in an understandable way for team members.
Why Choose Pricing & Promotion Optimization?
Most organizations price and promote using static rules, historical averages, or broad competitive benchmarks. This obscures true demand sensitivity and leads to leakage, over discounting, and missed revenue opportunities across products, channels, and lifecycle stages.
Gestalt’s Pricing & Promotion Optimization replaces intuition with elasticity-driven intelligence—helping teams understand where pricing, not demand, is constraining revenue and what precise action will unlock incremental margin and growth.
Gain a clear view of true demand sensitivity across products, segments, and channels by modeling price and promotion elasticity.
Simulate price, discount, and incentive scenarios before execution to confidently balance margin, volume, and revenue trade-offs.
Identify where revenue is constrained by pricing response—not demand—and uncover “money left on the table” opportunities.
Move beyond static rules with explainable, governed pricing intelligence built for enterprise-scale decision making.
01
Demand & Price Elasticity Modeling
Model own-price, cross-price, and promotion elasticity across products, segments, and channels to understand true demand sensitivity and price absorption headroom.
02
Lifecycle Pricing Intelligence
Optimize pricing differently for launch, sustain, and end-of life stages by accounting for predecessor inventory, cannibalization risk, and competitive overlap.
03
Promotion & Incentive Effectiveness
Measure true responsiveness to discounts and channel incentives to eliminate blanket promotions and improve ROI on promotional spend.
04
Scenario Simulation & What-If Analysis
Simulate price and promotion scenarios before execution to evaluate revenue, margin, and volume
trade-offs with confidence.
05
Explainable Pricing Recommendations
Move beyond black-box scores with transparent, coefficient-driven pricing recommendations that clearly explain why a price or promotion should change—or not.
06
Governed, Enterprise-Scale Pricing Decisions
Enable consistent pricing decisions with built-in guardrails, governance, and controls—ensuring scalability, compliance, and trust across the enterprise.
How It Works
01
UNIFY PRICING, DEMAND & MARKET SIGNALS
Unify pricing history, booking behavior, promotions, inventory, and competitive signals across products, routes, or SKUs creating a single intelligence layer over existing revenue or pricing systems.
02
DIAGNOSE REVENUE INHIBITORS
Continuously diagnose where revenue is constrained by pricing response rather than demand by analyzing booking velocity, fare ladders, discount behavior, and competitive under reaction.
03
BUILD PERSONA-AWARE PRICING CONTEXT
Distill products, routes, or markets into behavioral pricing personas based on elasticity, responsiveness, volatility, and competitive pressure—recognizing that different personas require different pricing actions.
04
FORECAST DEMAND & RESPONSE
Forecast demand trajectories and competitive response using elasticity-weighted models to predict how each persona will react to price or promotion changes under different market conditions.
05
RECOMMEND PERSONA-SPECIFIC ACTIONS
Generate explainable, high confidence pricing actions aligned to personas—such as performance pushes, revenue unlockers, or experience stabilizers validated through what-if simulations before execution.
06
LEARN, MEASURE & OPTIMIZE CONTINUOUSLY
Track outcomes through matched test-control cohorts, measure incremental yield and revenue uplift, and continuously recalibrate personas, elasticity, and decision logic as market behavior evolves.
