StockWise Analytics

Analytics Overview

Key insights from your inventory data.

Inventory Valuation

Total inventory value: $390,000 (example)

Risk Assessment

Inventory value at risk due to forecast and lead time variations.

Higher values indicate greater potential losses from inaccuracies in demand forecasting or supplier delays.

Service Level Visualizer

Current overall service level: 96.0%. Identifying potential compromises and fill rates.

Service levels indicate the percentage of customer orders fulfilled on time and in full. Lower levels may signal stockouts or inefficiencies.

Forecast vs. Actuals & Policy Impact

Visualizing forecast accuracy and the impact of policy recommendations.

This chart helps in understanding forecast deviations and the effectiveness of implemented inventory policies over time.

Performance Analyzer (AI Insights)

Leverage AI to get insights from past inventory performance data.

Past Performance Data

Sales Data (Last Quarter):
- Product A: 1500 units sold, 95% forecast accuracy, average stock level 300 units. Implemented dynamic reorder points.
- Product B: 800 units sold, 70% forecast accuracy, average stock level 500 units (safety stock increased due to supplier reliability issues). Policy: increased safety stock.
- Product C: 200 units sold, 60% forecast accuracy, stockouts 5 times. Policy: Just-In-Time attempt, failed due to volatile demand.
- Overall inventory turnover: 3.5.
- Holding costs: $25,000.
- Stockout costs (estimated): $5,000.

Policy Implementations:
1. Dynamic reorder points for high-volume items (Product A): Resulted in stable stock and high fill rate.
2. Increased safety stock for unreliable supply chain items (Product B): Prevented stockouts but increased holding costs.
3. JIT for Product C: Led to multiple stockouts due to unexpected demand spikes.

Strategic Goals:
- Improve forecast accuracy to 85% overall.
- Reduce holding costs by 10%.
- Maintain service level of 98%.

Provide as much detail as possible for a comprehensive analysis.