
A complete functional stack for production management professionals

Complete life cycle management of each production order

Mobile applications for picking, quality, breaks and tasks

Total production monitoring in real time
Additional Features
MES and MOM features specific to the food industry
Integration with machines and labelers
Connect directly to equipment such as Marel, Bizerba or Zebra to capture weights, print labels and collect production data automatically.
Production orders generated from sales or forecast planning
Create orders from MPS and MRP or generate them manually when needed.
Real-time quality controls
QC checks are executed without leaving the workplace and validated through barcode scanning. Every check is time stamped and stored for audit readiness.
Integrated tare and container management
Manage containers and tare weights automatically per customer, supplier or product.
Dual measurement unit management for catchweight
Essential for fixed-weight products where giveaway accuracy and yield matter most.
Full GS1 support on mobile apps
Scan lots, batches, expiry dates and SSCC codes across all processes.
Advanced batch and lot management
Create and manage lots with flexible rules and full traceability from intake to dispatch.
Co-product and by-product management
Track all outputs accurately so your production costs reflect real process performance.
Backflush and forwardflush
Automate consumption of raw materials based on production output or vice versa.
What makes BRAINR’s MES different?



Yield, waste, giveaway and throughput are tracked in real time so managers can act early and protect margin.
Operators, quality teams and supervisors work inside the same digital process with no paperwork and no duplicate entry.
Supports both disassembly processes such as cutting and deboning, and assembly processes such as mixing, transformation and packaging.
FAQs: Manufacturing Execution for Food Factories
Quick Answers for Curious Minds

BRAINR is a production management system (MES) built specifically for food factories. It provides real-time visibility of production lines, captures all inputs and outputs, and helps reduce waste, protect yield and improve service level.
BRAINR captures production data in real time, including losses, giveaway, delays and quality deviations. Managers can react immediately to protect yield and reduce waste before the problem spreads across the shift.
Traditional MES systems are generic and require heavy customization. BRAINR is purpose-built for food manufacturing, supports catchweight, GS1 barcodes, multi-step processes such as abate, cut, transform and pack, and integrates directly with equipment like Marel and Bizerba.
BRAINR tracks every lot, label, SSCC, raw material and finished product in real time. It creates full forward and backward traceability automatically so factories can respond to audits or recalls in seconds.
Yes. BRAINR integrates with ERPs to sync sales orders, purchase orders, stock and master data. It also connects to machines, scales and labelers to capture weights, print labels and automate data entry.
Operators use guided mobile apps to record picks, quality checks, waste, returns and task updates. This reduces errors, speeds up work and ensures data is collected at the moment work is performed.
Production progress is visible in real time. Managers see which lines are behind schedule, which orders are at risk and where waste is increasing. This allows them to act early and avoid service level failures.
Yes. BRAINR supports both disassembly and assembly processes, including deboning, cutting, blending, mixing, transformation and packaging, with full yield and lot tracking across each step.
Quality checks are recorded digitally and time stamped. All production, quality and traceability data is stored in one place, which makes audits fast and eliminates missing records.
By connecting operators, machines and managers in real time, BRAINR turns production into a predictable and data-driven process. This improves yield, freshness, service level and profitability.

Real Applications by Subsector
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