Retail: AI forecasting to predict in-department queues

In large-scale retail, AI-based forecasting systems are entering operational planning workflows to estimate queue pressure in assisted departments.

Data inputs

Models process ticket history, promotional calendars, local weather, and store-traffic trends to generate hourly peak forecasts.

Expected benefits

• Shift planning closer to real demand
• Better service continuity in highly variable departments
• Lower average waiting times during critical windows

Outlook

In 2026, the topic is moving from experimentation to consolidation, with strong focus on data quality and operational governance.