AI-Driven Forecasting Built forPrecision Workforce Planning
Leverage AI-driven, machine learning forecasting with industry-leading accuracy. Continuously reforecast demand at the metric, item, and 15-minute task level to power labor planning, scheduling, fresh operations, inventory, and execution.
Why Forecasting Breaks
Retail demand changes constantly, yet many forecasting systems still rely on static models and disconnected planning processes affecting every downstream workforce and operational decision.
Forecasts are created separately from labor planning and execution
Inability to predict workload at the task and 15-minute interval
Missed operational demand drivers like weather, promotions, events etc.
Manual review, adjusting, and maintaining of forecasts
Create One Connected Demand Signal
Logile Forecasting establishes a single AI-driven source of demand truth connecting forecasting directly to labor modeling, staffing, and scheduling decisions. Retailers gain industry-leading forecast accuracy with continuous learning that directly improves labor precision and schedule stability.
Retailers can:
Improve forecast accuracy across stores and departments
Forecast workload at the task and 15-minute interval level
Adapt forecasts as business conditions change
Connect forecasting directly to labor planning, fresh, and store execution
Core Capabilities
Power every store decision with one connected demand foundation.
Industry-Leading Forecast Accuracy
Leverage multiple AI and statistical forecasting models that continuously optimize forecast accuracy by store, department, and demand driver.
15-Minute Task-Level Forecasting
Forecast workload at the task and 15-minute interval level to support precise labor planning, staffing, and scheduling.
Continuous Reforecasting
Continuously update forecasts as demand patterns, promotions, weather, holidays, and customer behavior change.
Multi-Variable Demand Modeling
Incorporate sales, transactions, traffic, promotions, weather, holidays, seasonality, and local events into every forecast.
Self-Learning AI Engine
Automatically learn which forecasting models perform best for each store, department, and metric while continuously improving forecast accuracy.
UPC-Level Demand Forecasting
Forecast item-level demand to support fresh operations, production planning, inventory management, and promotional execution.
Economic Impact
Up to 97% Daily Forecast Accuracy
15–25% Improvement Over Legacy Forecasting
30–50% Reduction in Forecast Preparation Time
Improved Workforce Utilization
Part of the Workforce Management Suite
Unified Labor Planning
Create workforce plans grounded in operational demand and connected execution.
Includes
Resources
Workforce Management Guide
Learn all about our planning-first approach to workforce management.
View the Guide