Maximize incremental growth with data-driven optimization strategies for assortment

Enable smarter, localized portfolio decisions beyond traditional velocity metrics. Leveraging incrementality models, need-state insights, and granular segmentation, the solution drives scalable assortment planning that minimizes cannibalization and boosts profitability. Integrated with SAP S/4HANA, it delivers automation, GenAI-powered interfaces, and real-time insights across the entire assortment planning lifecycle — from strategy to execution.

Benefits

  • Move from “Spray and Pray” to segmented execution at scale

    Align with local preferences and shopper behavior by tailoring assortment strategies across regions, customer segments, and channels. This enhances relevance, improves performance, reduces duplication, and drives strategic precision through data-driven decision-making.

  • Optimize the customer portfolio to support strategic business objectives

    Make every SKU count by aligning assortment decisions with key business goals such as profitability, market share growth, and innovation priorities. This ensures each product plays a strategic role, driving impact across the portfolio while minimizing inefficiencies.

  • Maximize incremental sales by minimizing cannibalization

    Focus on products that truly grow the category rather than just shifting volume between SKUs. By leveraging data-driven incrementality evaluation, you can identify high-impact items that drive net sales and deliver sustainable growth.

  • Deliver occasion space portfolios that truly serve consumers

    Better align your shelf offerings with when, why, and how consumers make purchase decisions. This shopper-centric approach enhances satisfaction, improves relevance, and increases conversion rates across both physical and digital channels.

  • Streamline execution across pricing, trade, and category teams

    Seamlessly integrate with existing commercial systems to enable cross-functional alignment, accelerate planning cycles, and ensure more consistent, data-driven performance in the market.

Features

Segment customers using point-of-sale data

Integrate sales offtake data with consumer demographics to segment your customer base by purchase behavior, region, and product preferences to have a more targeted approach to execution.

Segment customers using point-of-sale data
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Prioritize assortment with the Four Cs

Leverage incrementality and performance analytics to prioritize SKUs across category, channel, store segment, and region—delivering on the Four Cs: Company objectives, Customer needs, Consumer demand, and Category growth. This maximizes revenue, margin, and market share.

Prioritize assortment with the Four Cs
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Identify tail-end SKUs for rationalization

Evaluate low-performing or redundant SKUs using performance diagnostics to recommend delisting decisions and streamline your product portfolio. The overall impact is measured through portfolio rationalization.

Identify tail-end SKUs for rationalization
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Plans and pricing

All plans include:

Estimate incrementality and cannibalization for smarter SKU decisionsSimulate assortment changes and their impact on volume and profitabilityPrioritize SKUs using need-state and POS segmentation modelsAccount for changes in own and competition portfolioTrack store-level compliance and execution gaps using visual dashboards

Technical Information

Solution typeExtensions and Add-onsCategoryAnalytics and PlanningIndustryCross-Industry, Retail, Consumer Products, Automotive, Industrial ManufacturingWorks with SAP Datasphereretail promotion analyzerSAP HANA Cloud

Resources

RGM Odyssey: Sailing Towards Profitable Volume Growth while Anchoring your Value Share

Testimonial from Paul Smith - Global Product Marketing (SAP Trade and RGM Solutions)

Revenue Growth Management

Publisher