Set accurate plans and guide your production lines through the day.
BRAINR enables food manufacturers to plan accurately, react quickly and align operations with demand. Planners create precise plans, adjust them throughout the day and keep every line running with confidence. This reduces waste, improves freshness and delivers stable service levels.
The complete functional stack for professional planning teams
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Calculation of finished product needs (MPS)
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Calculation and scheduling of required productions (MRP)
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Real-time planning adjustments
Monitoring the real state of each plan
Additional Features
Specific features
Robust and flexible calculation methodology
Needs are calculated using multiple inputs such as sales orders, forecasts, slaughter plans, stock, historical patterns and purchase arrivals.
Sales and purchase orders via ERP integration
External inputs such as sales and purchase orders flow automatically into BRAINR where they update planning needs.
Planning based on technical lists, routings, production versions and cuts
Master data is structured for food manufacturing, allowing precise planning for any type of product or process.
Finite line capacity
Line capacity, speed, shift calendars and availability are all considered to produce realistic plans that can actually be executed.
Planning versus execution indicators
BRAINR compares what was planned against what is happening on the floor. Planners understand deviations early and adjust with confidence.
Simple continuous adjustments
Breaks, delays, urgent orders and yield changes can be absorbed with immediate recalculation and drag and drop rescheduling.
Why planning with BRAINR is different
Food production changes constantly. BRAINR allows the plan to evolve without losing structure or control.
The system suggests, creates and distributes all required production orders to each line without manual consolidation.
Planners can reallocate capacity, change priorities and move orders visually.
This makes decision making simpler and faster.
The planning manager sees the impact of every decision immediately.
No more planning in isolation. No more blind spots.
FAQs: Advanced Planning and Scheduling
Quick Answers for Curious Minds
An APS is a system that calculates what a factory needs to produce and creates schedules that align demand, stock and capacity. Food factories need APS because they face short shelf life, variable yields, daily volatility and strict service level requirements. BRAINR is built specifically for food manufacturing and uses sales orders, forecasts, stock levels, slaughter plans, cutting lists and yield assumptions to generate accurate production plans that can be adjusted in minutes when the day changes.
BRAINR combines sales orders, forecasts, stock, slaughter plans, cutting lists and technical data to calculate exactly what must be produced. This eliminates the guesswork common in spreadsheet-based planning and reduces overproduction.
Food factories face delays, breakdowns, raw material shortages and urgent orders. BRAINR allows planners to recalculate needs and rebuild the plan in minutes so production stays aligned with reality.
Planning data flows directly into the MES and mobile apps used by operators. When planners adjust the schedule, production lines receive updated orders instantly and execution stays synchronized.
Yes. BRAINR includes full MPS and MRP logic designed for food manufacturing, including yields, routings, cutting profiles, finite capacity and multi-step production.
By planning to real demand and adjusting to daily changes, BRAINR prevents unnecessary batches and late production. The result is fresher product, less giveaway, better raw material usage and lower waste.
Yes. BRAINR integrates with ERP systems to sync sales orders, purchase orders, stock levels and master data so planners always work with accurate information.
BRAINR shows plan versus execution in real time. Planners can see what is running, what is delayed and which orders are at risk, and can adjust the schedule immediately.
Yes. BRAINR supports multi-plant planning, shared capacity models, cross-site demand allocation and standardized master data across factories.
Factories typically see lower waste, fewer stockouts, higher freshness, better capacity usage, more accurate plans and far fewer last-minute crises. Planning becomes faster, more stable and more predictable.
Real Applications by Subsector
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