Production PlanningAligned to Forecasted Customer Demand
Logile Production Planning converts forecasted customer demand into precise, time-based production plans and keeps the plans aligned with current inventory and quantity in the store.
Why Production Planning Breaks in Most Retailers
Most retailers separate forecasting from production execution. Forecasts are built for reporting. Inventory is tracked separately. Production teams rely on static percentages or spreadsheets.
Production becomes reactive. Logile makes it synchronized.
Early-day overproduction
Peak-hour out-of-stocks
Hidden spoilage
No coordination with labor
Forecast-Driven. Inventory-Aware. Execution-Ready.
AI-powered, item-level demand forecasts reflect intra-day shopping patterns, promotions, seasonality, and perishability. Those forecasts directly calculate what to produce, when, and in what quantity.
Every recommendation reflects:
Current on-hand inventory
Product aging and shelf life
Safety stock thresholds
Batch and production constraints
Core Capabilities
A vertically integrated system that connects demand signals to production execution.
AI-Driven, Multi-Layered Forecasting
Continuously learns and refines demand using historical sales and production patterns, adjusting for weather, seasonality, promotions, and local events.
Precision Production Plans
Aligns production with real, store-level demand using item-level quantities, daily sales projections, and safety stock logic to balance availability and waste.
Item-Specific Production Scheduling
Plans production at the individual item level, incorporating demand timing, batch constraints, and execution realities.
Role-Based Planning Views
Provides tailored dashboards by labor role with full transparency into production calculations and adjustments.
Production Calculation Visibility
Offers clear insight into demand inputs, safety stock assumptions, and inventory considerations behind every recommendation.
Tool Readiness
Ensures visibility into required tools and resources for each production cycle to prevent execution delays.
Economic Impact
Vallarta Supermarkets
1070%
ROI
15.2 mo
Payback
$10.6M+
Attributable Profit
- Increased sales while carrying less inventory
- Reduced overproduction and spoilage
- Cut software costs by 15%
Independent analysis by Nucleus Research confirmed a 1070% ROI and 15.2-month payback period.
Northgate González Market
Unified forecasting and production planning cut approximately $1M in excess stock, reducing waste and freeing up working capital.
Read the StorySchnucks
Rolled out intelligent fresh production and inventory tools across all stores, automating recipes and labeling to improve consistency and reduce waste.
Read the StoryResources
Fresh Operations Management Guide
Understand the coordinated operating model behind demand-driven fresh.
View the GuideProduction Planning Datasheet
Detailed capability overview and technical depth.
Download the Datasheet