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Merchandise Planning

AI-Driven Merchandise Planning Software for Enterprises

Modular end-to-end planning platform that unifies collaborative forecasting, advanced AI/ML, and cross-functional scenario planning

The Estee Lauder Companies Inc.
Ralph Lauren Corporation
Marks & Spencer
Mango
J. Crew
Liverpool
Citizen Watch America
Caterpillar
GrandVision NV
Crocs
Urban Outfitters
Asian Paints
The Estee Lauder Companies Inc.
Ralph Lauren Corporation
Marks & Spencer
Mango
J. Crew
Liverpool
Citizen Watch America
Caterpillar
GrandVision NV
Crocs
Urban Outfitters
Asian Paints
The Estee Lauder Companies Inc.
Ralph Lauren Corporation
Marks & Spencer
Mango
J. Crew
Liverpool
Citizen Watch America
Caterpillar
GrandVision NV
Crocs
Urban Outfitters
Asian Paints

UNLOCKING BILLIONS IN VALUE FOR CLIENTS IN 30+ INDUSTRIES

Capabilities

Why Leaders Choose
o9 Merchandise Planning

  • Scenario-Based Financial Decision Making

    Teams can simulate alternative financial strategies - such as pricing changes, markdown adjustments, or growth rebalancing and immediately understand their impact on margin, inventory, and cash. This enables informed trade-offs before committing to action.

  • Enterprise-Ready Financial Views

    Financial plans can be analyzed across multiple hierarchies, including channel, region, department, and class, while maintaining a single financial truth. Executives and planners operate from the same numbers, at the level of detail relevant to their role.

  • Top-Down and Bottom-Up Financial Alignment

    o9 MFP unifies strategic financial targets with bottom-up merchandising plans in a single financial model. Sales, margin, inventory, and receipt plans remain continuously reconciled across channels and categories, eliminating manual adjustments and version conflicts.

  • AI-Enhanced Financial Seeding

    Machine learning algorithms generate baseline financial plans using historical performance enriched with growth drivers, inflation factors, and recent trend analysis. This replaces manual “last year plus growth” methods with statistically grounded starting points.

  • Attribute-Based Financial Planning

    Financial targets can be defined and analyzed by product attributes—such as innovation versus core, price bands, or fabric types—enabling more nuanced financial strategies aligned with merchandising intent.

  • Highly Customizable User-Friendly Platform

    Modular design, intuitive UI, and built-in collaboration tools to support planners across industries.

featured insights

Related Resources
& White Papers

Examples of Business Value
Achieved with o9

Food & Beverage
  • Maintained accurate, real-time inventory visibility, using data-driven forecasting to predict demand.

    60%Reduction in Stock-Outs
  • By rolling out demand planning, supply network planning, multi-echelon inventory optimisation and reverse logistics capabilities.

    +53%Decrease in Inventory Losses
  • Touchless planning - the ability of systems to generate plans that require minimal human intervention.

    70-90%Touchless Planning Adoption
  • Forecast accuracy improved by more than 11 percentage points to 87%, and service levels have reached 99.5%.

    +11%Forecast Accuracy
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what customers say

Driving Real
Enterprise Value

use cases

Explore in-depth o9's
Merchandise Planning Use Cases