The Challenges
Inventory Management:
Maintaining optimal inventory levels for expensive goods without overstocking or understocking.
Demand Forecasting:
Predicting demand accurately amid fluctuating market conditions and seasonal sales peaks.
New Product Launches:
Manual Processes:
Reliance on Excel and gut feelings for forecasting, which was time-consuming and prone to errors.
The results
Since implementing AGR, Ole Lynggaard has realized several significant benefits.
- Improved Inventory Control:
- Efficiency Gains:
Reduced reliance on manual processes, saving time and reducing errors.
- Enhanced Forecasting:
- Optimized Operations:
“Our retail stores' demand forecasting before AGR was based on feelings, and now we do it based on numbers.”
- Ole Lynggaard
- Flemming Sandbæk, Operations Project Manager
Need for AGR
Given the intricate supply chain and the high value of inventory, Ole Lynggaard needed a robust solution to streamline their inventory management and demand forecasting processes. The key requirements were:
– Automation: To replace manual Excel-based forecasting with an automated system.
– Accuracy: To improve the accuracy of demand forecasts and inventory reordering points.
– Integration: To seamlessly integrate with their existing ERP system and accommodate their specific operational needs.