Increasingly fragmented demand is redefining retail management.
In a context of retail transformation, assortment management has become a key lever for operational and commercial performance. The ability to adapt the offer to local specificities directly impacts sales, inventory turnover, and profitability.
However, customer behavior is no longer homogeneous.
It varies significantly across regions, store formats, and distribution channels. In certain categories, particularly apparel and specialty retail, these variations can represent 20% to 40% differences in sales. This demand fragmentation is challenging traditional models.
Approaches based on standardized assortments and fixed segmentation are no longer sufficient to effectively address market complexity. Retail management must now integrate strong and evolving local variability.
Abderraouf Eloucheffoune
EPM Manager
Klee Performance
Klee Performance’s experience with retail projects shows that the main challenge is not identifying differences between markets or stores, but determining when those differences become significant enough to justify adapting the offering. Finding the right level of segmentation is often a key success factor in balancing commercial relevance with effective management of operational complexity.
A standardized model that is no longer sufficient
Historically, organizations have favored standardized assortment models to simplify management and optimize costs.
These models were based on:
- relatively stable store segmentation
- assortments defined upfront
- limited in-season adjustments
In a more stable environment, this approach ensured a certain level of efficiency. Today, it is showing its limits.
Without local adaptation:
- store-specific opportunities are not captured
- overstock builds up in certain areas
- stockouts increase in others
In other words, standardization becomes a driver of underperformance.
Toward continuous assortment adaptation
In response to this evolution, organizations must rethink their approach to assortment management. The challenge is no longer only to define an optimal offer upfront, but to continuously adjust it based on performance and field signals.
This transformation translates into:
- in-season allocation adjustments
- more granular and evolving store segmentation
- greater flexibility in range management
Assortments become dynamic, driven by data and observed performance.
Measurable performance gains
Organizations implementing these approaches are seeing significant results. In-season adjustments can increase full-price sales by 4% to 7% and reduce overstock by 20% to 30%, resulting in improved product availability, particularly for key sizes and items. These gains reflect a better alignment between supply and actual demand.
Real-time orchestration across functions
To activate these levers, organizations must evolve fundamentally. Merchandising teams move from a planning logic to real-time management. Stores become key sensors, capable of feeding back operational signals.
Processes become more integrated, with assortment, allocation, pricing, and replenishment operating as a continuous loop.
Data plays a central role, integrating:
- customer behavior
- local performance
- supply constraints
Retail management becomes more cross-functional, more responsive, and more field-oriented.
2026–2030: toward continuous assortment adjustment
By 2026, investments in localization and assortment flexibility will accelerate. The most advanced organizations will develop near-continuous adjustment capabilities, enabling them to adapt the offer based on performance and local signals.
By 2030, this capability will become a retail standard. Companies that master this dynamic will gain a major competitive advantage.
In an increasingly fragmented environment, retail performance is no longer driven solely at a global level. It is built locally, in real time. The organizations that succeed will be those capable of continuously adapting their assortments by aligning data, decisions, and in-store execution.
Download the full retail trends analysis and discover how to optimize your assortments and performance by 2030.
