Improve Demand Forecasting, Minimize Costs, and Maximize OTIF Performance

Key Capabilities

AI-based demand forecasting

Leverage machine learning algorithms to generate accurate demand forecasts at product-location level
Model each location, customer, and product with their unique characteristics
Prepare for tomorrow by continuously factoring in real-time market, customer industries activity, and news data

Optimal manufacturing and distribution schedules

Account for constraints that change over time
Provide visibility into major cost drivers and production bottlenecks
Create a single unified view of the manufacturing and distribution operations

AI-based change order predictions

Predict and plan for change orders using AI techniques that predict likelihood of change
Model each order-line characteristic (e.g., historical changes in orders and order-lines by customer, customer purchasing behavior) and its evolution over time

Elastic solver for scheduling

Schedule manufacturing or logistics operation using an elastic solver
Minimize production costs, inventory costs, and staffing costs
Maximize high-margin product throughput by deploying resources at the right time, in the right order, at the right capacity

Scenario analyses

Analyze what-if scenarios to assess the impact of all modifications on throughput, cost, and profit
Configure alerts and recommendations specific to customer, products, orders, and facilities
Tune the machine learning models to accommodate operations complexity

Enterprise-wide collaboration

Align sales, marketing, planning, and manufacturing activities behind one planning and scheduling suite
Use bidirectional integration with existing systems of record

View BHC3 Production Schedule Optimization Data Sheet

Application Scope

BHC3 Production Schedule Optimization can be deployed for any customer demand scope and across all major types of manufacturing and distribution operations.