-Overall Equipment Effectiveness: Track availability, performance, and quality in real time to identify bottlenecks and improve machine utilization by 10-20%

-Downtime Analysis: Visualize unplanned downtime by machine, shift, or cause, enabling faster fixes and reducing lost production hours by 15%+

-Capacity Utilization: Show real-time asset usage and bottlenecks to maximize existing capacity and avoid unnecessary CapEx.

-Yield & Scrap Reporting: Monitor first-pass yield, defect rates, and rework costs per line/product to cut material waste and quality-related expenses

-Labor Efficiency: Analyze productivity per employee/shift and overtime trends to optimize workforce allocation and reduce labor expenses

Maintenance & Predictive Cost Dashboard: Combine MTBF, repair history, and sensor data for shift from reactive to predictive maintenance, lowering costs 10-20%.

-Cost per unit & margin reporting

-Inventory Turnover & Aging Dashboard: Monitor turnover ratios, weeks of supply, and slow-moving SKUs to free up 10-20% working capital and minimize obsolescence.

-Sell-Through Rate & Fast/Slow Mover Analysis Dashboard: Track sell-through % by category/season to reduce markdowns and improve from 60% to 80%+ performance.

-Gross Margin Return on Investment (GMROI) Dashboard: Calculate GMROI per product line/collection to prioritize high-margin items and shift portfolio for 5-10% margin lift.

-Return Rate & Reason Analysis Dashboard: Break down returns by SKU, channel, or fit issue to cut reverse logistics costs and preserve 3-7% of revenue.

-Product Profitability & Cost Variance Dashboard: Analyze gross margins, production costs, and variances by item to focus on winners and eliminate losers.

-Average Order Value (AOV) & Upsell Performance Dashboard: Measure AOV by channel/segment and track promotion impact for revenue-per-transaction growth.

-Supplier Performance & On-Time Delivery Scorecard: Evaluate vendors on lead times, quality, and costs to negotiate better terms and reduce disruptions.

-Production Line & Bottleneck Simulation: Model assembly lines or workflows to test capacity changes, reduce setup times by 20-30%, and validate new product introductions.

-Warehouse & Material Flow Simulation: Simulate picking, storage, and Autostore-style operations to optimize space, throughput, and labor in distribution centers.

-Supply Chain Scenario Testing: Run simulations for demand variability, supplier delays, or reshoring impacts to improve resilience and minimize stockouts/overstock.

-Layout & Equipment Configuration Optimization: Virtually test factory/plant floor layouts or new machinery placement to maximize utilization and cut energy/waste.

-Assembly & Batch Scheduling Simulation: Model sequencing and batch sizes in food/beverage or apparel production to balance WIP and improve on-time delivery.

-Retail Fulfillment & Omnichannel Flow Simulation: Simulate e-commerce vs. store picking/shipping to reduce fulfillment costs and handle peak seasons efficiently.

-Predictive Maintenance in Manufacturing: Use ML on sensor/IoT data to forecast failures, shift to predictive strategies, and reduce unplanned downtime by 20-40%.

-Demand Forecasting & Inventory Optimization: AI-driven models for apparel/retail to predict seasonal trends, reduce overstock by 15-25%, and improve fill rates.

-Quality Defect Prediction & Anomaly Detection: ML algorithms to spot patterns in production data, predict defects early, and cut scrap/rework costs.

-Dynamic Pricing & Promotion Optimization in Retail: ML models to adjust apparel pricing in real time based on demand, competition, and inventory levels for higher margins.

-Personalized Recommendation Engines: AI for apparel e-commerce/omnichannel to boost conversion rates and AOV through tailored product suggestions.

-Production Scheduling & Yield Forecasting: ML to optimize sequences, predict yields from variables like material quality, and enhance throughput.

-Customer Churn & Lifetime Value Prediction in Retail: Analyze purchase history to retain high-value apparel customers and lower acquisition costs.