Pricing optimization vs dynamic pricing: the difference and when you need each

Pricing optimization and dynamic pricing answer different questions. Optimization asks what the price should be: it uses past sales and quotes to find the price that best meets a goal, such as the most margin without losing deals. Dynamic pricing asks when the price should change: it moves the price as cost, stock, demand or competitors move. Optimization sets the target. Dynamic pricing keeps the price on target as conditions shift.

The difference side by side

How they work together

Take the 6205-2RS bearing. Optimization, from two years of quotes, finds that contractor accounts buying 100 to 500 units accept a 29% margin without a drop in win rate. That is the target.

Dynamic pricing then moves the actual price around that target as things change. When the next shipment lands at a higher cost, the price follows it. When stock in the region runs short, a few points go on. When a large order comes in, a point or two comes off. Each movement starts from the optimized target, not from a fixed list.

When you need each

You need dynamic pricing first if:

• Supplier prices or freight change several times a year and your list lags behind.
• Stock positions vary a lot by branch or season.
• Reps already adjust prices by feel and you want those adjustments to follow rules.

You need optimization first if:

• Your prices follow cost well, but you suspect reps discount more than they need to.
• You have two years of quotes with wins and losses recorded.
• Margin varies widely between reps or branches selling the same items.

Most distributors start with dynamic pricing on cost, because it recovers margin with almost no risk, and add optimization once lost quotes are recorded reliably.

In B2B, both run per quote line

Consumer businesses apply both to one public price per product. Distributors apply them per quote line, for one customer, with contracts and rebates underneath. That changes three things: the target comes from won and lost quotes instead of clicks, the price movement has to respect agreed contract prices, and each part of the price needs a reason a rep can say to the buyer.

The pricing optimization guide covers the data optimization needs, and the dynamic pricing strategy guide covers how to set the guardrails. Pricing optimization software for B2B combines the two, learning the target from your history and moving each line's price with the signals inside your margin floor.