Open-to-buy

What is Open-to-Buy?

Open-to-Buy is a retail inventory management tool used to plan and control inventory purchasing. It is a technique used to determine how much merchandise should be purchased to meet customer demand and maintain desired stock levels. The Open-to-Buy system helps retailers manage inventory levels and plan for future sales.

Benefits of Open-to-Buy

Open-to-Buy can help retailers maximize their profits by ensuring that they have enough inventory to meet customer demand. It can also help them reduce costs by minimizing the amount of inventory they need to purchase. Here are some of the benefits that retailers can gain from using Open-to-Buy:

  • Improved inventory management
  • Reduced inventory costs
  • Accurate forecasting of future sales
  • Better understanding of customer demand
  • Better control of inventory levels

How Does Open-to-Buy Work?

Open-to-Buy is based on a simple equation: the amount of inventory available to purchase (open-to-buy) is equal to the amount of inventory needed (target stock level) minus the amount of inventory already on hand (current stock level). This equation is used to determine how much inventory should be purchased to meet customer demand and maintain desired stock levels.

Examples of Open-to-Buy

Here are a few examples of how Open-to-Buy can be used:

  • A clothing retailer can use Open-to-Buy to determine how much inventory they need to purchase for the upcoming season.
  • An electronics store can use Open-to-Buy to forecast the demand for new products and decide how much inventory to purchase.
  • A grocery store can use Open-to-Buy to calculate the amount of inventory they need to purchase to meet customer demand.

Conclusion

Open-to-Buy is a powerful tool for retailers to manage inventory and plan for future sales. It can help retailers maximize profits and reduce costs by ensuring that they have the right amount of inventory to meet customer demand.

References

  1. Inventory management (Wikipedia)
  2. Forecasting (Wikipedia)
  3. Demand forecasting (Wikipedia)