Demand & Inventory Planning

• Inventory policy design (safety stock, reorder points, service level strategy) aligned with business targets

• Advanced forecasting using statistical models and AI (Holt-Winters, ML-based approaches)

• Scenario planning and “what-if” simulations to support decision-making

• Seasonality, promotion, and demand variability management

• S&OP / SIOP alignment to connect demand, supply, and financial plans

Segmentation & Optimization

• SKU and customer segmentation to prioritize inventory and service strategies

• Multi-echelon inventory optimization across channels (retail, DTC, wholesale)

• Working capital optimization by reducing excess and slow-moving inventory

• Service level differentiation strategies by product and customer segment

Digital Tools & Analytics

• Development of decision-support tools and dashboards (Power BI, Tableau, Excel) to provide clear, real-time visibility into operations

• Automation of reporting processes and data workflows to eliminate manual effort, improve accuracy, and accelerate insights

• Design of executive-level dashboards and performance reporting to enable faster, data-driven decision-making

• Automated models for replenishment, inventory policies, and scenario simulation

• Integration of data across ERP, planning systems, and operational sources

• AI-enabled analytics to enhance forecasting, planning, and operational decision-making

Operational Modeling & Engineering

• We design data-driven operational models to improve efficiency, reduce cost, and scale performance across warehouse and distribution environments.

  • Cost Modeling (CPU Analysis)
    Develop end-to-end cost-per-unit models to identify inefficiencies and prioritize optimization opportunities.

  • Labor Planning & Workforce Optimization
    Build models for hourly labor planning, staffing strategies, and optimal workforce scheduling.

  • Warehouse Layout & Flow Optimization
    Redesign facility layouts to improve throughput, reduce handling time, and increase overall efficiency.

  • Throughput & Bottleneck Analysis
    Identify system constraints and bottlenecks to unlock capacity and improve flow across operations.

  • Automation Optimization
    Assess existing automation systems, identify inefficiencies, and recommend improvements or new solutions aligned with demand.

Process Excellence & Continuous Improvement

• Process Mapping & Workflow Design
  Document and analyze current-state processes to identify inefficiencies, gaps, and improvement opportunities

• Lean & Six Sigma Methodologies
  Apply structured frameworks to reduce waste, improve quality, and increase operational efficiency

• Root Cause Analysis
  Identify the underlying drivers of issues using data-driven techniques to ensure sustainable solutions

• Process Improvement Workshops
  Facilitate cross-functional workshops to align teams, uncover pain points, and design optimized future-state processes

• Continuous Improvement Programs
  Establish frameworks, KPIs, and governance to sustain improvements over time

• Process Optimization

  Redesign or improve workflows balancing service levels (SLA), cost, and operational constraints.

• Standardization & Best Practices
  Develop consistent processes and operating standards to improve scalability and performance

At MitaCast Nova, we don’t just provide models, we partner with you to ensure planning and inventory strategies are understood, actionable, and sustainable.

With expertise in supply chain consulting, AI-driven analytics, and digital dashboards, we bridge the gap between data and decision.