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Softlines

From Legacy Limitations to Localized Precision: How a Global General Merchandise Leader Mastered Hyper-Growth

Scaling a massive retail operation across thousands of categories often leads to one critical bottleneck: disconnected decision-making. Discover how this general merchandise giant moved beyond fragmented legacy systems to embrace o9’s AI-powered "Digital Brain." By unifying assortment, financial, and supply planning on a single platform, they achieved a step-change in gross margin, drastically reduced markdowns through localized precision, and turned supply chain volatility into a competitive advantage.

This retailer needed to reliably predict consumer demand and distribute inventory across the network to effectively and efficiently fulfill that demand.

Sustainability impact

Improved forecast with a reduction in inventory and efficient capacity utilization.

challenges

Complexity to Clarity

Challenge

They were lacking the ability to incorporate various external demand drivers spanning weather, demographics, pricing, promotions, product assortment, location, etc., to predictably and reliably forecast fashion and seasonal merchandise.

Solution

With o9, the company can bring in and model various demand constraints under one platform to drive an enhanced AI/ML-based forecast for half a million SKUs across 220 brick-and-mortar stores, as well as E-commerce channels.

Value Delivery

Systems Replaced

  • Blue Yonder

Key Functionalities Implemented

The company is using the o9 Enterprise Knowledge Graph for Forecasting, Allocation, and Replenishment. Key capabilities include enhanced AI/ML-based forecasting, omnichannel planning, regular and cross-dock allocation to stores, demand-driven replenishment, inclusion of store capacities into inventory planning, and visibility to supply chain operations and store network.

Customer Benefits

success factors

  • Open architecture AI platform with advanced machine learning capabilities for next-generation omnichannel planning.
  • Thought leadership.
  • Speed to value.

KPI Impacted

  • Improved forecast.
  • Increased in-stocks.
  • Improved planner productivity.

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