Pack Price Architecture (PPA) & Assortment Optimization
As consumers become more price-sensitive, they are opting for cost-saving strategies like smaller packages or budget brands.
Retailers face a "holiday planning challenge" where predicting demand in an unpredictable season is nearly impossible with rigid legacy systems. Furthermore, misaligned assortment leads to margin leakage through mis-set planograms and out-of-stocks—if the customer arrives at the shelf and the product isn't there, the brand loses them entirely.
Capabilities of Pack Price Architecture (PPA) & Assortment Optimization
Localized Store Assortment
Tailors product offerings based on specific store demographics, location, and even regional weather patterns.
Attribute Elasticity Identification
For new styles lacking history, AI analyzes how attributes like color, fabric, or style will impact demand sensitivity.
Hyper-Local Simulation
Optimizes the product mix to serve specific "consumption occasions," ensuring relevance at the moment of choice.
What Makes o9 Different
Integrated Merch Financial Planning
Seamlessly connects the high-level financial plan to the granular assortment plan, ensuring sales targets are achievable.
Machine-Readable Data
Optimizes product data to ensure brands remain visible in an era where AI algorithms frequently "write" consumer grocery lists.
Consumer-Centricity Squads
Supports agile, cross-functional teams that use shared data to solve for the full consumer journey.
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
AI-Powered Planograms: Pilots use AI to tailor shelf layouts to local demand, protecting on-shelf availability and reducing execution errors.
Market Basket Analysis: Uses ML to identify purchase patterns and craft product bundles that maximize revenue per trip.
→ 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.