How data and decision support can improve inventory management.
Some products are not selling as expected.
Unsold products remain in inventory.
Slow-moving products may expire before being sold.
Management needs better data-driven decisions.
Measure how many units are being sold.
Track how many units are still available.
Identify how quickly each product is moving.
Find products that need immediate attention.
| Product | Sold | Stock | Expiry |
|---|---|---|---|
| A | 900 | 100 | 90d |
| B | 450 | 350 | 30d |
| C | 150 | 450 | 20d |
| D | 100 | 400 | 15d |
Use historical sales to predict future demand.
Combine stock, sales rate, and expiry period.
Classify products as low, medium, or high risk.
Turn analysis into clear actions for management.
Increase visibility of slow-moving products.
Use targeted offers for products nearing expiry.
Avoid overstocking products with weak demand.
Continuously track sales, stock, and expiry risk.