Product / Dynamic Pricing Solution
Dynamic Pricing Solution
Maximize Revenue with AI-Driven Dynamic Pricing
Dynamic Pricing Solution
Maximize Revenue with AI-Driven Dynamic Pricing
Product / Dynamic Pricing Solution
The Dynamic Pricing solution by Celebal Technologies and co-powered by Databricks unifies real-time demand signals, competitive intelligence, and AI-driven recommendations into a single Pricing Cockpit, deployable across industries and at scale.
360°
View of demand & market signals
Real-Time
Pricing decisions &
KPI monitoring
Explainable AI
Recommendations include
reason codes
Legacy pricing systems leave revenue on the table
Whether you're managing perishable inventory, seasonal demand, or competitive markets, pricing decisions made on fragmented or outdated data quietly erode margins across every transaction.
Fragmented Data Sources
Transactions, competitor feeds, customer behavior, and inventory data sit in silos, making a reliable market view difficult to achieve.
Delayed, Manual Processes
Pricing teams often rely on spreadsheets and periodic reviews. By the time a decision is made, demand may have already shifted.
Margin Leakage & Missed Revenue
Without timely demand signals, pricing in high-demand windows misses customer elasticity demands.
Limited AI Transparency
Many pricing recommendations come without clear explanations, making it difficult for teams to trust and act on AI-generated insights.
One unified platform. From data to decision.
The Dynamic Pricing Solution integrates demand signals, competitive data, business customizations and pricing logic into a modular, governed platform, helping Pricing Analysts and Revenue Leaders act with speed and confidence, regardless of industry.
AI-Powered Pricing Engine
Demand elasticity models, competitive response simulations, and probabilistic forecasting, continuously retrained using MLflow.
Natural Language AI Assistant
Databricks Genie allows analysts to ask questions about pricing decisions in plain language, without needing SQL or manual dashboard navigation.
What-If Scenario Simulator
Test pricing strategies against simulated market conditions before deployment. Evaluate the potential impact of competitors' moves in advance.
Business & Regulatory Guardrails
Price floors, ceilings, and parity policies enforce commercial intent regardless of model output, helping teams remain compliant with business and regulatory requirements.
Management and performance Dashboards
Role-based dashboards give Revenue Leaders and Pricing Analysts a consolidated, real-time view of pricing performance, tracking KPIs across products and segments without manual reporting.
Modular architecture. Governed at every layer.
Built on the Databricks Data Intelligence Platform. Every component, from data ingestion to the final pricing decision, is tracked, versioned, and auditable.
Unified Data Ingestion
Consolidates transactions, competitor price feeds, web and app behavioral events, inventory constraints, seasonal signals, and promotional data into a governed Medallion architecture on Delta Lake.
Demand & Competitive Intelligence
Probabilistic forecasting with confidence intervals. Demand elasticity by segment and time window. Machine Learning offers competitive response models that simulate second-order market effects.
Pricing Cockpit & Orchestration
Executes pricing logic, enforces guardrails, and delivers explainable recommendations to role-based dashboards. Databricks Genie enables natural language queries directly on the Lakehouse.
Unified Data Ingestion
Demand & Competitive Intelligence
Pricing Cockpit & Orchestration
Built natively on the Databricks Data Intelligence Platform
The Dynamic Pricing Solution is architected around the Databricks Data & AI stack. Every layer, from raw data to pricing decision, is governed, versioned, and traceable within a single platform.
No stitching together disparate tools, one unified data lineage
Governance and access controls enforced at the platform layer
Models retrained and served without leaving the Lakehouse
Designed to scale from pilot to production on the same platform
| Component | Layer | Role in the Solution |
|---|---|---|
| Lakehouse | Data Layer | Unified, ACID-compliant storage for all pricing data, historical, real-time, and simulated. |
| LakeFlow | Ingestion Layer | Managed ingestion and ETL pipelines, streaming competitor feeds, transactions, and behavioral signals. |
| Mosaic AI | AI Layer | Foundation model access and fine-tuning for demand forecasting, elasticity modelling, and LLM-powered explanations. |
| MLflow | Model Registry | End-to-end model tracking, versioning, and deployment. Every pricing model is auditable and reproducible. |
| Databricks Genie | AI Assistant | Natural language interface on the Lakehouse. Analysts can ask pricing questions in plain English. |
| AI/BI Dashboards | Application Layer | Embedded analytics for Revenue Leaders and Pricing Analysts: live KPIs, scenario outputs, and recommendation feeds. |
| Databricks Apps | Deployment | Frontend and backend services are deployed here. |
Unified, ACID-compliant storage for all pricing data, historical, real-time, and simulated.
Managed ingestion and ETL pipelines, streaming competitor feeds, transactions, and behavioral signals.
Foundation model access and fine-tuning for demand forecasting, elasticity modelling, and LLM-powered explanations.
End-to-end model tracking, versioning, and deployment. Every pricing model is auditable and reproducible.
Natural language interface on the Lakehouse. Analysts can ask pricing questions in plain English.
Embedded analytics for Revenue Leaders and Pricing Analysts: live KPIs, scenario outputs, and recommendation feeds.
Frontend and backend services are deployed here.
Built for every stage of the pricing lifecycle
From monitoring performance to approving AI recommendations, Dynamic Pricing Solution supports the key actions a commercial pricing team needs to take.
Real-Time KPI Monitoring
Track revenue index, conversion rates, gross margin, willingness to pay, and margin leakage across your portfolio, updated continuously.
Segment & Product Granularity
Drill down from market-level trends to individual SKUs, customer segments, or service tiers. Identify underperformers before they become revenue problems.
Probabilistic Forecasting
Confidence intervals show the risk profile of a pricing decision, not just the expected outcome. Understand uncertainty before committing a change.
Competitive Response Modelling
Simulate how competitors might react to pricing moves and model second-order market effects before acting.
Scenario Simulation
Test pricing strategies in a controlled simulation environment before deployment. De-risk strategy changes before they reach production.
Explainable Recommendations
Every AI suggestion includes reason codes: for example, which demand threshold or competitive signal triggered the recommendation.
One Solution for every industry that prices dynamically
The modular architecture adapts to the pricing logic, data sources, and KPIs of each vertical, without rebuilding the core platform.
Aviation
Available NowFare optimization across routes, booking windows, and seat classes. Competitive response modelling and load-based yield management.
Retail & E-Commerce
Coming SoonSKU-level dynamic pricing based on inventory velocity, cart signals, competitor data, and seasonal demand curves.
Hospitality
Coming SoonRoom rate optimization across occupancy windows, events, and channel mix, balancing revenue targets with guest experience.
Energy & Utilities
Coming SoonDemand-responsive tariff pricing with grid load awareness, real-time signals, and regulatory guardrails.
Two dashboards. One source of truth.
Dynamic Pricing Solution surfaces the right information to the right role, from high-level revenue oversight to day-to-day price optimization.
Strategic Control Without Manual Overhead
Strategic oversight at enterprise scale.
Revenue Leaders get a view of pricing performance across every product, segment, and market, with AI surfacing decisions that need attention before they become problems.
Monitor Revenue Index, Gross Margin, Conversion Rate, and NPS in a single real-time dashboard- Review, approve, or modify AI price recommendations through a one-click approval workflow
- Set strategic guardrails, price floors, ceilings, competitive parity, and regulatory rules
- Ask the AI assistant for plain-language explanations of any pricing recommendation
AI Assistant example
User prompt:
"Why did the AI recommend a price increase on the Premium tier this week?"
Databricks Genie:
Demand index crossed 82% of the seasonal peak with 18 days remaining in the window. Competitor A raised equivalent pricing by 6.4% two days prior and maintained conversion.
Confidence: 74–90% probability of holding current conversion at the recommended price point.
Six Pricing Modes, Dynamically Applied
The AI/ML pricing engine outputs six distinct price types based on demand context, inventory state, and business rules.
Seasonal Price
Event and calendar-driven adjustments, respond to holidays, peak seasons, and scheduled events.
Promotional Price
Campaign-linked offers, tied to marketing activity, voucher codes, or targeted promotions.
Base Price
The anchor from which all other price modes are derived reflects standard cost-plus or market-rate logic.
Discount Price
Clearance and velocity-driven reductions, triggered by slow-moving inventory or time-to-expiry thresholds.
Customer-Segment Price
Personalized by customer profile, purchase history, and segment, for example, loyalty tiers or B2B accounts.
Time-Sensitive Price
Real-time demand surge responses activate when demand signals cross defined thresholds within a time window.
Ready to move from reactive to proactive pricing?
Talk to the Celebal Technologies team. We'll walk you through the solution with a demo tailored to your industry, your data, and your pricing requirements.
