Best Practices
Expert recommendations for maximizing supply chain efficiency and ROI with BrainPredict Supply.
Data Quality
Sync Complete Historical Data
Sync at least 24 months of historical data for accurate demand forecasting and trend analysis.
Maintain Data Accuracy
Ensure inventory, order, and shipment data is accurate and updated in real-time.
Clean Data Regularly
Remove duplicate SKUs, obsolete products, and incorrect data entries monthly.
AI Model Usage
Start with Core Models
Begin with Demand Forecaster and Inventory Optimizer before expanding to specialized models.
Combine Multiple Models
Use complementary models together (e.g., Demand Forecaster + Inventory Optimizer + Route Optimizer).
Monitor Model Performance
Track forecast accuracy and model performance weekly to identify improvement opportunities.
Inventory Management
Set Appropriate Service Levels
Define service levels by product category (A/B/C) to balance inventory costs and stockout risk.
Optimize Safety Stock
Use AI-recommended safety stock levels instead of fixed percentages or manual calculations.
Review Slow-Moving Items
Identify and address slow-moving inventory monthly to reduce carrying costs.
Supplier Management
Monitor Supplier Risk
Review supplier risk scores weekly and maintain backup suppliers for critical items.
Track Delivery Performance
Monitor on-time delivery rates and lead time accuracy for all suppliers.
Diversify Supplier Base
Avoid single-source dependencies for critical materials and components.
Logistics Optimization
Optimize Routes Daily
Use Route Optimizer for daily route planning to minimize transportation costs.
Consolidate Shipments
Identify consolidation opportunities to reduce freight costs and carbon emissions.
Track Carrier Performance
Monitor carrier on-time performance and cost to optimize carrier selection.
Sustainability
Track Carbon Emissions
Monitor supply chain carbon footprint and set reduction targets.
Optimize for Sustainability
Balance cost optimization with sustainability goals in routing and sourcing decisions.
Report ESG Metrics
Generate regular sustainability reports for stakeholders and compliance.
Quick Wins (First 30 Days)
Sync Historical Data
Import 24 months of sales, inventory, and order data for accurate forecasting.
Enable Demand Forecaster
Start with demand forecasting for your top 20% of SKUs (80/20 rule).
Optimize Inventory Levels
Use AI-recommended reorder points and safety stock for high-value items.
Set Up Alerts
Configure alerts for stockout risk, supplier issues, and demand spikes.
Review Weekly Reports
Check forecast accuracy and model performance reports every Monday.
Common Mistakes to Avoid
Insufficient Historical Data
Don't start with less than 12 months of data - accuracy will suffer.
Ignoring Data Quality
Poor data quality leads to poor predictions - clean your data first.
Not Monitoring Performance
Track forecast accuracy and adjust parameters regularly.
Overriding AI Recommendations
Trust the AI - manual overrides often reduce accuracy.
Using Too Many Models at Once
Start with core models, then expand gradually as you learn.
Need Expert Guidance?
Our supply chain experts can help you implement these best practices and optimize your operations.