A quantity scale is a tiered pricing system in which the unit price decreases at defined intervals as the order quantity increases. For purchasing, this enables systematic optimization of procurement costs by strategically adjusting order quantities to the lowest price levels.
Example: For the procurement of screws, a unit price of €0.50 applies for 1-999 pieces, €0.45 for 1,000-4,999 pieces and €0.40 for 5,000 pieces or more, so that a saving of €250 is realized on an order of 5,000 pieces instead of 1,000 pieces.
In purchasing, a quantity scale refers to a pricing strategy in which the unit price of a product or service is reduced depending on the quantity purchased. This means that buyers receive a lower price per unit for larger order quantities. The volume scale serves as an incentive for customers to order more and enables suppliers to better plan and utilize their production or services.
Quantity scales are a key purchasing tool for realizing cost savings and strengthening supplier relationship management. By purchasing larger quantities, companies benefit from lower unit prices, which increases competitiveness. At the same time, it enables more efficient warehousing and production planning.
Building on the theoretical basis of volume tiering, this pricing is a key tool for cost optimization and competitiveness in practice. It enables companies to achieve more favorable prices by purchasing larger quantities and to maintain long-term supplier relationships. However, as digitalization progresses and market volatility increases, there is a need for more flexible and efficient pricing processes. A transformation towards dynamic procurement strategies is therefore becoming increasingly relevant.
Traditional approach: In traditional volume-based pricing, buyers negotiate fixed price scales with suppliers that apply over a certain period of time. These graduated prices are based on predetermined order quantities and are fixed in the contracts. Pricing is usually done manually and is based on historical sales data and personal experience. This process is time-consuming and not very flexible, as price changes require renegotiation. In addition, rigid price structures can lead to market opportunities remaining untapped and not reacting optimally to fluctuations in demand.
Dynamic pricing: The modern approach relies on dynamic pricing using advanced technologies such as big data and artificial intelligence. Prices are adjusted in real time based on current market analysis, stock levels, demand and competitive activity. Algorithms continuously analyze internal and external data to determine optimal price scales. This enables companies to be highly flexible and responsive. The automation of pricing processes also saves resources and reduces human error. Practical benefits include higher margins, better stock turnover rates and increased customer satisfaction thanks to personalized offers.
A medium-sized company in the consumer goods industry implemented dynamic pricing in order to optimize its quantity scaling. By integrating an AI-based pricing system, prices were automatically adjusted to current market demand and stock levels. Within a year, the company was able to increase sales by 12% and reduce inventory costs by 20%. The flexibility in pricing also led to higher customer satisfaction and greater loyalty, as individual price offers met the customers' needs.
Quantity scales are an effective tool in strategic purchasing that, if used wisely, can lead to considerable cost savings. While larger purchase quantities lead to attractive price advantages, companies must always keep an eye on the balance between savings potential and additional storage costs. The success of quantity staggering depends largely on precise demand analysis and well thought-out supplier management. With increasing digitalization, the possibilities of volume tiering are constantly evolving and offer new opportunities for even more efficient procurement.