From Forecast Revision to Demand Signal Orchestration: A Shift in Perspective 

In a context of retail transformation, demand forecasting is a central pillar of retail and supply chain management. It directly impacts inventory management, resource allocation, and the ability of organizations to effectively meet customer expectations. 

However, operational reality is often more complex. In many organizations, multiple views of demand coexist: 

• merchandising 
• supply chain 
• finance 
• digital 

These different approaches, built on distinct assumptions, tools, and timelines, operate in parallel without real alignment. In practice, it is not uncommon to see three to five different forecasts coexisting within the same organization. 

At the same time, external volatility—driven by weather conditions, macroeconomic changes, or one-off events—can account for up to 40% of short-term demand variation. In this context, demand fragmentation becomes a structural barrier to performance. 

Andrea Patiti

Business Consultant EPM K.Group

Having multiple forecasts is not necessarily a problem. The problem starts when those forecasts remain inside functional silos

A false challenge: forecast accuracy 

Historically, organizations have focused their efforts on improving forecast accuracy. However, in a fragmented and unstable environment, these gains remain limited. 

Improving a single forecast has little impact if different functions continue to operate based on divergent assumptions. The real challenge is no longer accuracy—it is the alignment of demand signals across functions. 

Without this alignment: 

• decisions become inconsistent 
• adjustments are delayed 
• safety stocks increase to compensate for uncertainty 

Performance no longer depends on the quality of a single forecast, but on the consistency of decisions.

Toward demand signal orchestration 

A major transformation is underway: the shift from a forecasting logic to an orchestration logic. The objective is no longer to produce a single “correct” forecast, but to combine and synchronize multiple signal sources: 

• internal transactional data 
• behavioral and digital signals 
• external factors (weather, events, macro trends) 

These signals are integrated into models capable of reflecting a dynamic, evolving, and uncertain demand. This approach makes it possible to better capture market reality and anticipate variations. It also transforms the role of planning, which becomes less focused on producing a number and more oriented toward interpretation and decision-making. 

Andrea Patiti

Business Consultant EPM K.Group

Demand signal orchestration means combining system data with the knowledge of the people who work closest to the market.

Decisions based on scenarios, not a single number 

In this new paradigm, demand is no longer represented by a single value. It is modeled through scenarios, enabling organizations to consider multiple possible trajectories and adapt decisions accordingly. 

This evolution makes it possible to: 

• reduce safety stock 
• improve service levels 
• better balance risk and opportunity 

Decisions become more robust, as they incorporate uncertainty rather than being constrained by it. 

A transformation of roles, processes, and data 

This evolution is deeply transforming organizations. Planners are no longer solely responsible for producing forecasts. They become interpreters of demand and facilitators of decision-making. 

Processes are evolving toward continuous models, enabling constant alignment between demand, supply chain, and finance. Data becomes a strategic asset, integrating multiple signals and enabling a more granular and responsive understanding of the market. 

Retail management becomes more cross-functional, more dynamic, and more decision-oriented. 

Andrea Patiti

Business Consultant EPM K.Group

The planner is no longer a producer of numbers. The planner becomes an internal business advisor.

2026–2029: toward automated signal alignment 

By 2026, organizations will strengthen their orchestration capabilities. Decisions will rely on continuously updated signals, dynamic models, and enhanced analytical capabilities. 

By 2029, automated alignment of demand signals is expected to become standard in merchandising and supply planning processes. The most advanced organizations will gain a significant competitive advantage in terms of responsiveness and performance.

In an environment marked by uncertainty and complexity, retail performance no longer depends solely on forecast accuracy. It now relies on the ability to share a common, dynamic, and aligned view of demand. The organizations that succeed will be those capable of orchestrating their signals in a consistent, fast, and integrated way. 

Download the full retail trends analysis and discover how to transform your demand management by 2030.