Optimize revenue and margin with AI-driven pricing analytics and simulations
Drive smarter pricing decisions with end-to-end analytics that link shopper insights, pack-price architecture, and elasticity modeling. Supports scenario planning and margin-focused optimization for scalable growth.
Benefits
Drive volumetric growth with shopper-centric price pack architecture
Design and optimize Price Pack Architecture using the OBPPC (Occasion, Brand, Pack, Price, Channel) framework, linking demand spaces and consumption occasions directly to pricing decisions: enabling scalable, volume-led growth across shopper missions.
Sharpen pricing precision with elasticity-driven and cross-elasticity insights
Better understand product sensitivity and cross-elasticity effects to uncover shopper trade-offs and competitive dynamics, enabling precise pricing strategies at the SKU, PPG, or channel level to maximize revenue without eroding share.
Capture portfolio gaps and pricing opportunities with occasion-led diagnostics
Identify white space across the commercial portfolio by analyzing gaps in pack-price combinations, premium potential, and misaligned price per litre/gram equations, helping unlock pricing and portfolio opportunities grounded in shopper occasions and brand strategy.
Maximize profitability with scenario-based price-pack simulations
Create and benchmark multiple pack and pricing scenarios to evaluate consumer response, volume shifts, and margin impact, enabling data-driven comparisons that accelerate innovation while optimizing price-volume-profit trade-offs.
Features
Design shopper-centric price pack architecture
Build data-driven pack-price strategies tailored to demand spaces and channel dynamics by mapping shopper preferences and decision trees across segments.

Model price elasticity and product interactions
Quantify how price changes impact demand by SKU or PPG, uncovering unique product interactions and shopper trade-off behaviors to fine-tune pricing levers.

Simulate price-volume-profit scenarios
Run simulations to test pricing outcomes, from premiumization to price cuts, and evaluate their impact on volume, margin, and share using price index response curves.

Plans and pricing
All plans include:
Enterprise Edition
Covers all categories, customers, and channels for a key market, with scaling efficiencies for expansion based on market size and complexity.
Price unavailable in this regionCovers all categories, customers, and channels for a key market, with scaling efficiencies for expansion based on market size and complexity.
Starter Edition
Limited coverage of Categories/ Customers/ Channel (specific constraints to be determined basis size and nature of the market in scope)
Price unavailable in this regionLimited coverage of Categories/ Customers/ Channel (specific constraints to be determined basis size and nature of the market in scope)
Technical Information
| Solution type | Extensions and Add-ons |
| Category | Revenue Management |
| Industry | Cross-Industry, Retail, Consumer Products, Automotive, Travel and Transportation |
| Works with |
retail promotion analyzer |
The following information is provided by the publisher and applies to the latest app version available on the SAP Store. SAP does not control these policies and procedures; the publisher is solely responsible for the accuracy of the provided information.
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The following information is provided by the publisher and applies to the latest app version available on the SAP Store. SAP does not control these policies and procedures; the publisher is solely responsible for the accuracy of the provided information.
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| Privacy policy |
SAP's privacy policy is not applicable to the use of this app. Please refer to the privacy policy provided by this app's partner. |
Resources
Pricing Analytics
Testimonial by Paul Smith (Global Product Marketing - SAP Trade & Revenue Growth Management Solutions)
Publisher
Decision Point Analytics Inc
Decision Point is a Global Analytics Think Tank delivering an end-to-end business impact at scale with expertise in digital transformation and GenAI capabilities.


