Define monthly, weekly, or daily production targets based on market demand, sales forecasts, and stock levels.

AI analyzes sales trends and raw-material availability to auto-suggest ideal batch sizes and production sequences.

Cross-checks machine capacity, manpower availability, and shift scheduling to ensure achievable plans.

Generates production calendars that dynamically adjust to changing order priorities.

Calculates precise raw-material needs from active recipes and planned batches.

Prevents overstocking or material shortages using AI consumption prediction models.

Real-time integration with procurement and warehouse ensures seamless replenishment.

Supports alternate raw materials and vendor comparison in case of supply disruptions.

Multi-level Bill of Materials (BOM) for raw, semi-finished, and finished goods.

Dynamic recipe management with tolerance percentage and version control.

AI-powered formulation optimization reduces wastage and enhances yield efficiency.

Secure recipe locking and change approval process for quality assurance.

Track every batch from creation to packaging in real time.

IoT connectivity with machines for automated data capture — temperature, run time, weight, and mixing time.

System auto-records raw-material issue, consumption, and variance.

Operators can use tablets or terminals to update production milestones directly from the shop floor.

Supports multi-stage manufacturing, co-packing, and contract manufacturing.

Visual dashboards display machine status, operator performance, and downtime analysis.

AI identifies micro-stoppages, bottlenecks, and inefficiencies in production lines.

Alerts & notifications for maintenance needs, machine faults, or delayed operations.

Integrates with SCADA / PLC data for deep machine-level visibility.

QC checkpoints at incoming, in-process, and dispatch stages.

Define custom test parameters (moisture, density, texture, pH, etc.) per product category.

AI detects repeating defects and suggests process adjustments.

Automated generation of COA (Certificate of Analysis) for compliance.

Full traceability from raw-material lot to finished-goods batch.

Monitors material loss during each process step — mixing, heating, packaging, etc.

AI correlates wastage with operator performance, time, and temperature patterns.

Suggests process re-engineering or recalibration to improve yield.

Detailed variance reports compare theoretical vs. actual consumption per batch.

Maintains machine history, preventive maintenance schedules, and downtime logs.

AI predicts potential breakdowns using performance patterns.

Automatic job card creation and technician assignment when faults are detected.

Cost tracking of maintenance vs. production time loss for ROI assessment.

Real-time syncing between production output and warehouse stock.

Auto-updates inventory based on batch completion and QC clearance.

Barcode / QR tracking for each pallet or SKU for precise traceability.

FIFO / LIFO / FEFO control ensures shelf-life accuracy and compliance.

Integrates with dispatch and order management modules for seamless delivery scheduling.

Real-time costing per batch, SKU, and production line.

Breaks down cost elements: raw material, labor, energy, packaging, and overheads.

Identifies least and most profitable product lines.

AI generates predictive cost reports to plan budgets and improve margins.

Live dashboards and Power BI-style visual reports for management review.