What is dynamic pricing optimization? Continuous price adjustment, and its limits in B2B
Written by Arnon Shimoni
✓ Expert
Last updated on:
Dynamic pricing optimization is the practice of changing prices continuously in response to demand, supply, competition or other conditions, with the goal of capturing more value per transaction than a fixed price would.
It is the default in airlines, hotels, ride-hailing and ecommerce marketplaces. It is largely unusable in B2B software, and understanding exactly why points at the mechanisms that do work.
Field | Detail |
|---|---|
What it is | Continuous price adjustment based on demand and conditions |
Native to | Airlines, hotels, ride-hailing, marketplaces, energy |
Requires | Perishable or constrained supply, high transaction volume, low price visibility between buyers |
Blocked in B2B by | Contracts fixing price for a term, buyers who compare notes, procurement expectations |
B2B equivalent | Structural differentiation: segment rates, tiers, commitments, ramps |
Related |
Why it works where it works
Dynamic pricing needs three conditions, and consumer travel has all of them.
Perishable supply. An unsold seat on a departed flight is worth nothing, so any price above marginal cost beats an empty seat.
High transaction volume. Enough demand signal to estimate the demand curve continuously and correct quickly when wrong.
Limited price comparison between buyers. Passengers do not usually discover what the person beside them paid, or accept that variation as normal if they do.
Remove any one and the model degrades. Remove all three, which is the B2B software case, and it becomes actively harmful.
Why B2B software cannot use it
Condition | Travel and ecommerce | B2B software |
|---|---|---|
Supply | Perishable and capacity constrained | Effectively unlimited |
Transaction volume | Millions | Hundreds to thousands of contracts |
Price visibility | Low between buyers | High. Buyers compare, and analysts publish |
Contract duration | Single transaction | One to three years, price fixed |
Buyer expectation | Prices move | Prices are negotiated and then honoured |
Consequence of variance | Accepted | A trust problem and a renewal negotiation |
What replaces it in B2B
The underlying goal, charging different customers different amounts according to their willingness to pay, is legitimate. B2B achieves it structurally rather than temporally.
Segment-based rate cards. Different published pricing by company size, region or use case. See price configuration.
Tiers and packaging. Customers self-select into the tier matching their value. See tiered pricing.
Usage-based rates. Price scales with consumption automatically, which captures variation without any price change. See usage-based pricing.
Commitments and ramps. Rate varies with committed volume and contract stage. See minimum commit.
Scheduled changes. Announced price updates on renewal, which is the honest form of temporal adjustment.
This is why usage-based pricing displaced the dynamic pricing conversation in software. Charging per unit consumed already varies revenue with customer value, continuously, without moving a published price.
Where dynamic pricing does appear in software
Two genuine cases exist. Cloud infrastructure spot markets, where capacity really is perishable and priced by auction. And consumption products with cost bases that move, where some vendors adjust published unit rates as underlying model or compute costs change.
The second is becoming more common in AI. It is closer to scheduled cost pass-through than to dynamic optimisation, and it works only where the rate change is announced, applies prospectively, and is explained. See grandfathering for handling the existing base.
Where Solvimon fits
Solvimon supports segment rate cards, tiered and banded structures, commitments, ramps and scheduled rate changes with explicit effective dates, which is how price differentiation is actually implemented in B2B.
Scheduled changes apply prospectively and historical periods reprice under the terms that were in force, so a rate change does not disturb invoices already issued.
Frequently Asked Questions
What is dynamic pricing optimization?
Continuously adjusting prices in response to demand, supply, competition or other conditions, in order to capture more value per transaction than a single fixed price would.
Where does dynamic pricing work best?
Where supply is perishable or capacity constrained, transaction volume is high enough to estimate demand continuously, and buyers do not readily compare prices with each other. Airlines, hotels and marketplaces meet all three.
Why does dynamic pricing fail in B2B software?
Supply is effectively unlimited, contracts fix prices for years, and buyers compare notes. Price variation that consumers tolerate reads as unfair treatment to a procurement team and resurfaces at renewal.
What is the B2B alternative?
Structural differentiation: segment-specific rate cards, tiers customers self-select into, usage-based rates that scale automatically, and commitment-linked pricing. These vary revenue with value without moving a published price.
Is usage-based pricing a form of dynamic pricing?
Not strictly, but it achieves a similar outcome. The unit price stays fixed while the amount charged varies continuously with consumption, which captures willingness-to-pay variation without any price change.
Do AI companies use dynamic pricing?
Some adjust published unit rates as underlying model and compute costs change. That is closer to scheduled cost pass-through than to real-time optimisation, and it depends on announcing changes and applying them prospectively.
Related
Yield optimization. Maximising revenue per customer structurally.
Usage-based pricing. How software varies revenue with value.
Intelligent pricing. Data-informed price setting.
Time-based pricing. Prices that vary by when, rather than by demand.
Grandfathering. Handling the base through a rate change.
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