Price Planning & Optimization
Pricing has entered a new era where data-driven precision defines success.
Consumers are increasingly price-sensitive due to rising living costs, and retailers are pushing back harder against price increases. Furthermore, tariff-led inflation and global trade retaliation create a turbulent landscape, making traditional annual pricing models insufficient for modern retail.
Capabilities of Price Planning & Optimization
Dynamic Pricing Optimization
Leverages real-time data to adjust strategies based on demand fluctuations and competitor movements.
Elasticity Modeling
Uses ML algorithms to calculate elasticities by brand and pack across the entire portfolio.
Competitive Benchmarking
Automated tools continuously monitor the market to ensure the brand remains competitive without pricing in a vacuum.
What Makes o9 Different
Value-Based Strategy
Moves the organization from "cost-plus" models (passing costs to consumers) to competition or value-based pricing.
Tariff Resilience
Includes specialized playbooks for responding to tariffs, such as Selective Price increases, product reformulation, or shifting channel mix.
Brand Health Protection
Monitors the "average realized price" versus "promoted price" to ensure short-term tactics don't erode long-term brand equity.
Industries Supported
Powered by the o9 Digital Brain
Revenue Growth Management runs on the o9 Digital Brain, powered by the Enterprise Knowledge Graph (EKG).
The EKG connects pricing, promotions, demand, supply, and financial data in a unified model. When a commercial decision changes — such as a promotional plan or price adjustment — impacts are automatically propagated across the value chain, alerting downstream teams to potential supply or capacity implications.
A digital operating model for VUCA conditions
APEX is o9’s AI-powered operating model for enterprises navigating volatility, uncertainty, complexity, and ambiguity (VUCA). It enables organizations to plan, execute, and learn as one connected system.
The o9 Digital Brain powers APEX by connecting enterprise data, knowledge, and decisions through a single intelligent model.
Collaborative Demand Planning is one of the building blocks of the Digital Brain. It contributes domain-specific capabilities into the enterprise-wide model that enables APEX from the ground up—linking this solution to decisions across the entire value chain.
→ Learn how the APEX Operating Model works
Where AI drives real decisions
Price-Response Function: AI predicts demand at various price points, helping planners determine the optimal reduction and timing for markdowns.
Surge & Sentiment Analysis: AI monitors consumer sentiment around "perceived fairness" to avoid the reputational damage associated with opportunistic surge pricing.
→ Learn more about o9 AI capabilities
What our customers say
“With o9 AI/ML-based forecasting in place, we’re already seeing improved forecast accuracy, stronger cross-functional collaboration, and faster, more informed decision-making—all within a centralized platform.”
Gaby Gutierrez
VP of Global Supply Chain Planning at Amway
“We had a significant reduction in expedited costs. Our target was 4 to 6 million dollars. And we achieved close to 9 million dollars…”
Jay Koganti
Vice President of Supply Chain COE
“The o9 platform unlocked significant processes for us in order to effectively address changes in our volumes and to align those volumes to our labor capabilities at our distribution centers.”
Ashley Ward
Senior Manager Supply Chain Planning
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Frequently Asked Questions (FAQs)
Revenue Growth Management (RGM) is a strategic approach to maximizing revenue and profitability by making data-driven decisions across key commercial levers, such as pricing, promotion, assortment, innovation, marketing, trade terms, strategic P&L planning, and joint business planning.
RGM supports businesses through the different stages of commercial planning:
Evaluation: Analyzing past performance to identify areas for improvement.
Simulation: Running "what-if" scenarios to test different strategies and understand their impact.
Optimization: Leveraging advanced analytics and AI/ML to recommend the best actions for revenue and profit growth.
Execution: Implementing strategies in the market.
o9’s RGM solution focuses on evaluation, simulation, and optimization, enabling organizations to solve specific challenges like improving pricing strategies, optimizing promotions, or fine-tuning assortments. By providing a connected AI/ML powered platform, o9 helps businesses make smarter decisions that drive growth while balancing business constraints.
This approach ensures organizations can address immediate challenges, simulate future outcomes, and continuously optimize their strategies for long-term success.