Demand-Driven Ordering
Move beyond static PAR levels and outdated sales data. Logile Computer Assisted Ordering (CAO) aligns every order to real-time demand, inventory, and production needs to ensure your replenishment reflects how customers actually shop.
Why Ordering Breaks in Fresh
Ordering decisions are often made using disconnected inputs. When forecasts, inventory, and production operate in silos, small gaps compound into excess waste and missed sales.
Inflexible, static PAR-based ordering.
Inventory data that lags behind store reality.
Ordering that ignores actual production capacity.
Excessive manual overrides and order variability.
Aligned. Accurate. Demand-Driven.
Logile continuously recalculates order quantities using a synchronized view of demand, inventory, and production to ensure quantities reflect what will actually sell.
Intelligent Replenishment for Fresh Retail
Orders reflect real-time customer demand patterns.
Inventory stays balanced to minimize both shrink and outs.
Production and ordering stay perfectly aligned in a single loop.
Fewer manual decisions required by department managers.
Intelligent Ordering & Replenishment
Harness AI to automate the most complex margin decisions in your fresh departments.
Demand-Driven Order Recommendations
Generate order quantities using item-level forecasts, inventory position, and production plans.
Perpetual Inventory Alignment
Ensure orders reflect real-time on-hand balances and product aging to prevent over-ordering.
Production-Aware Replenishment Logic
Incorporate production plans to prevent mid-day shortages and prevent overstock of raw ingredients.
Shrink & Yield Consideration
Adjust order quantities automatically based on waste, trimming loss, and yield variability.
Exception-Based Review
Streamline workflows by highlighting only the specific items that require manual attention.
Period Ending Inventory Validation
Validate perpetual inventory accuracy through structured, guided counting processes.
Real-World Results
Vallarta Supermarkets ROI Success
1070%
ROI
15.2-Month
Payback Period
$10.6M+
Attributable Profit
Logile enabled Vallarta to increase sales while carrying less inventory and reducing software costs by 15%.
Northgate González Market
Unified forecasting and production planning cut approximately $1M in excess stock and freed up working capital.
Read the Case StudySchnucks
Automating fresh production and inventory tools across all stores to improve consistency and reduce waste.
Read The StoryRelated Resources
Fresh Operations Management Guide
Understand the coordinated operating model behind demand-driven fresh.
View the GuideComputer Assisted Ordering Datasheet
Detailed capability overview and technical depth.
Download Datasheet