For a single selling season, fashion companies must make a wide range of critical decisions to move a product from concept to consumer. This includes determining which colors each SKU should be offered in, how deep to invest in a specific style and what size mix should be allocated to every retail location to maximize sell-through and margin performance.
The inherent complexity of developing fashion merchandise has intensified in recent years, as teams contend with ongoing disruptions, including production delays, transportation volatility and inconsistent consumer demand. These challenges are placing increasing pressure on margins, requiring more and faster data-driven decision-making across the organization.
“Today, disruption is no longer the exception, it has become the norm,” said Alain Tessier, director of product management for apparel at Aptean. “Brands are operating in an environment of constant volatility driven by multiple forces, including geopolitical events, supply chain instability, shifting trade policies and unpredictable consumer demand, all while managing multichannel complexity and fragmented data. The core challenge is reacting faster at the style level to protect margins and keep inventory aligned with real-time demand.”
Among the primary barriers to faster, more agile decision-making is siloed operations. When design, sourcing, operations and finance teams operate in isolation, brands lack access to granular pricing and performance insights at the style, color and size level. These visibility gaps slow reaction times, making it difficult to capitalize on trends at their peak and often resulting in excess inventory being pushed to markdown. Over time, the financial impact of these delayed and disconnected decisions becomes significant.
“Outside of the luxury segment, fashion already operates on thin gross margins, so reactive planning significantly amplifies risk,” said Tessier. “When decisions are made only after delays, cost overruns or demand shifts become apparent, companies are often forced into markdowns, expedited freight, excess inventory carrying costs or last-minute reallocations, each of which further compresses margins. In an industry defined by timing, delayed reactions can quickly transform manageable variances into permanent losses in profitability.”
In contrast, busting siloes between business functions can unlock real-time insights.
Recognizing the unique needs of the industry, Aptean recently released Aptean Fashion & Apparel, which is powered by Microsoft Dynamics 365 Business Central and Aptean’s agentic AI platform AppCentral. Within the platform, users can ask questions in natural language to AI agents that have been trained on the specifics and terminology of the fashion industry to glean insights in real time across enterprise resource planning (ERP), product lifecycle management (PLM), warehouse management systems (WMS) and more. The AI also offers support such as continuously monitoring the performance of specific SKUs and suggesting suitable alternatives to send to wholesalers for styles that are unavailable. For each SKU, the data is centralized in a master file, which includes descriptions and keywords generated by AI for simpler searches within the system.
“In fashion and apparel, profitability is ultimately determined at the SKU level,” said Tessier. “Companies that embed intelligence directly at that level—enabling real-time, style-specific decisions—will consistently outperform those that rely on aggregated, retrospective reporting.”
AI provides speed at scale, offering simultaneous oversight that is difficult to achieve through manpower alone. While humans might identify issues during a monthly sales review, AI continuously scans data and flags potential risks in real time. However, people remain in control of the decisions and rules that guide these actions. Organizations can choose the level of autonomy they are comfortable with, whether using AI to surface insights and recommendations or allowing agents, under-defined parameters and supervision to automatically reallocate merchandise, adjust prices or suggest substitutions.
Aptean refers to the coordinated, real-time alignment of sourcing, inventory, demand and financial signals to continuously optimize decisions at the style level as “intelligent orchestration.” By responding dynamically to changes in production timelines, inventory positions, cost fluctuations and sell-through performance, the platform functions as a “connected decision engine.” This enables companies to detect margin risk earlier, adjust proactively and resolve potential issues before they materially impact profitability.
“Plans should not be fixed seasonal assumptions but rather living strategies that continuously adjust based on real-time performance and constraint signals,” said Tessier.
While software plays a critical role in enabling proactive, in-season planning, the shift must also occur at the organizational level. “Technology alone does not deliver intelligent orchestration,” Tessier noted. “Teams need to trust shared data, align incentives around margin rather than volume and be prepared to act on early signals instead of waiting for confirmation. Sustainable impact requires both the right tools and the right mindset.”
With disruption showing no signs of easing, brands must adapt to this new operating reality. Intelligent orchestration provides the foundation to respond dynamically, enabling organizations to pivot quickly in response to both internal performance signals and external market forces.
“Disruption is no longer episodic; volatility is structural,” said Tessier. “Competitive advantage does not come from predicting every disruption, but from building systems that adapt faster than competitors’ when disruption inevitably occurs.”
Click here to learn more about Aptean. For more on how real-time intelligence is put into action, join Sourcing Journal’s webinar with Aptean. Explore why early AI signals now matter more than forecasts and discover how leading brands are using them to protect margin in-season. Register here.