AI: The New Frontier and High Dema nd Planning

By Mario Beroes Ríos – Communications, IT Business Solutions

Plans driven by the growing demand for greater use of Artificial Intelligence (AI) are entering a new stage.

According to industry estimates, 70% of organizations will adopt AI‑based prediction or forecasting models by 2030, marking a structural shift in the way companies anticipate and respond to the market.

For years, demand forecasting has been built on historical data, spreadsheets, and manual adjustments. This approach, designed for relatively stable environments, now faces serious limitations amid greater volatility, omnichannel operations, and increasingly shorter consumption cycles.

From Manual Calculations to Learning Models

The incorporation of artificial intelligence into planning does not simply mean automating existing processes. It represents a fundamental change in the decision‑making model.

Today’s systems are capable of analyzing multiple variables simultaneously, ranging from historical patterns to external signals such as consumer behavior, seasonality, and fluctuations in demand. Based on this analysis, they generate dynamic forecasts that continuously adjust as environmental conditions change.

This approach enables organizations to:

  1. Improve demand‑planning accuracy
  2. Reduce reliance on manual adjustments
  3. Respond more quickly to market changes
  4. Align inventory, distribution, and supply

Regarding the direct impact on inventory and service levels, the evolution of forecasting methods will have a tangible effect on operational results. According to industry analyses supported by McKinsey & Company, the application of advanced analytics models can reduce forecasting errors by 20% to 50%. This translates into improved product availability, reduced excess inventory, and greater efficiency in capital utilization.

Beyond improved accuracy, the real value lies in the ability to anticipate. Organizations move away from reacting to demand and begin managing it proactively.

A New Planning Logic

The adoption of artificial intelligence also redefines the role of planning teams. The focus shifts from manually building forecasts to interpreting scenarios, validating models, and making strategic decisions.

This transformation requires the integration of technology, processes, and talent under a single operational framework, where demand planning becomes a continuous process rather than a periodic exercise.