"Is this actually legal?" It is the first question many retailers ask when they start exploring automated pricing. The concern is understandable. Dynamic pricing has attracted negative press, usually in the context of ride-sharing surge pricing or event ticket markups. But the reality for retail e-commerce is straightforward.
Dynamic pricing is legal in virtually every jurisdiction. Our complete guide to dynamic pricing covers the strategic and operational framework. This post addresses the legal and ethical questions specifically, because getting these right is essential for long-term customer trust.
The legal position is clear
Adjusting prices based on market conditions is a fundamental business practice. Retailers have always changed prices in response to supply, demand, competition and seasonality. Automating those adjustments with software does not change the legal analysis.
In Australia, the United States, the United Kingdom, the European Union and most other developed markets, businesses are free to set and change their prices as they see fit, with a few specific exceptions that we will cover below.
The Australian Competition and Consumer Commission (ACCC) has been clear on this point. Businesses can charge whatever they want for their products, provided they do not engage in misleading or deceptive conduct. Changing your price because a competitor changed theirs is standard commerce, not consumer harm.
What the law does prohibit
While dynamic pricing itself is legal, certain pricing practices are not:
Price gouging during emergencies. Many jurisdictions have laws that prohibit excessive price increases during declared emergencies or natural disasters. In Australia, the ACCC monitors for unconscionable conduct during bushfire, flood and pandemic events. In the United States, most states have specific price gouging statutes that activate during declared states of emergency.
These laws are narrowly scoped. They apply to essential goods (food, water, fuel, medical supplies) during formally declared emergency periods. They do not apply to normal commercial pricing of retail goods during ordinary business conditions.
Misleading "was/now" pricing. If you display a "was $199, now $149" comparison, the "was" price must be genuine. It must have been the actual selling price for a reasonable period before the reduction. Artificially inflating a reference price and then "discounting" to the real price is misleading conduct under consumer law in most jurisdictions.
This is relevant to dynamic pricing because frequent price changes can make "was" pricing claims tricky. If a product's price changes three times in a week, what is the legitimate reference price? The safest approach is to either avoid "was/now" comparisons for dynamically priced products or use a clearly defined reference period (e.g., "was" price reflects the most common price over the previous 30 days).
Predatory pricing. Selling products below cost with the intention of driving competitors out of business and then raising prices once competition is eliminated is illegal under competition law. In practice, predatory pricing cases are extremely rare and require proof of both below-cost pricing and anti-competitive intent. A retailer matching a competitor's low price is not predatory pricing.
Price fixing and collusion. Using competitor pricing data to coordinate prices with competitors - rather than to compete independently - is a serious violation of competition law. This is an important distinction. Monitoring what competitors charge and setting your prices independently based on that information is legal and expected. Agreeing with competitors to set similar prices, or using a third-party platform to facilitate coordinated pricing, is cartel behaviour.
PryceScan provides competitor price data for independent decision-making. Each retailer sets their own strategy, their own rules and their own bounds. There is no mechanism for coordination between users, and the platform is designed to facilitate competition, not reduce it.
The ethical landscape
Legal compliance is the floor, not the ceiling. Ethical pricing practices build customer trust and protect your brand over the long term. Here is where the ethical lines sit.
Competitor-based pricing: universally accepted
Adjusting your prices based on what competitors charge is the most common and least controversial form of dynamic pricing. Customers expect it. When you walk into a Bunnings and see a "lowest price guarantee," you are seeing the manual version of what automated pricing rules do digitally.
Competitor-based pricing is transparent in its logic (even if the automation is invisible). The customer gets a fair market price. The retailer stays competitive. No one is being targeted or exploited.
Demand-based pricing: generally accepted with caveats
Raising prices when demand is high and lowering them when demand is low is standard economics. Airlines, hotels and event venues have done this for decades without significant consumer backlash.
For retail e-commerce, demand-based pricing is generally accepted when:
- The pricing applies equally to all customers
- The price reflects genuine supply and demand conditions
- The changes are not so frequent or extreme that customers feel manipulated
Where demand-based pricing becomes problematic is when it creates a sense of unfairness. If a customer sees a product at $89, leaves to compare options and returns an hour later to find it at $109, they feel punished for shopping carefully. Even if the price increase is driven by genuine demand, the customer experience is negative.
Best practice: If you use demand-based pricing, keep the adjustment range narrow (5-10% above baseline) and change prices no more than once per day. This captures demand value without creating a hostile shopping experience.
Personal data pricing: crosses the ethical line
The most controversial form of dynamic pricing is personalised pricing - charging different customers different prices for the same product based on their personal data. This includes adjusting prices based on:
- The customer's browsing history or purchase history
- The device they are using (mobile vs desktop)
- Their geographic location (beyond genuine shipping cost differences)
- Their inferred income level or willingness to pay
While personalised pricing is not explicitly illegal in most jurisdictions, it is ethically problematic and increasingly under regulatory scrutiny. The European Union's Digital Services Act and various consumer protection agencies have flagged personalised pricing as a practice that may require disclosure or restriction.
From a practical standpoint, personalised pricing is also commercially risky. When customers discover they are paying different prices from other customers for the same product - and in the age of social media, they always discover it - the brand damage far outweighs the incremental revenue.
PryceScan does not support personalised pricing. Our pricing engine applies rules uniformly across all customers. A price is a price. Every visitor to your site sees the same number.
Algorithmic accountability
When you automate pricing decisions, you take on a responsibility to understand and oversee what your algorithms are doing. "The algorithm did it" is not a defence - commercially, legally or ethically.
This is one of the strongest arguments for rules-based pricing over black-box AI models. With rules-based pricing, every price change has a traceable cause. You can explain to a customer, a regulator or a journalist exactly why a product is priced the way it is. With opaque AI models, that explanation may not be possible.
For a deeper comparison of these approaches, see our guide on rules-based versus AI-powered pricing.
Best practices for transparent pricing
1. Maintain price stability where customers expect it
Not every product needs to be dynamically priced. Essentials, staples and products that customers buy repeatedly should have stable, predictable prices. Save dynamic pricing for categories where customers already expect price variation - electronics, fashion and seasonal goods.
2. Set reasonable bounds
Every pricing rule should have a floor and a ceiling that reflect your ethical standards, not just your financial targets. A rule that allows a product to double in price overnight may be technically profitable, but it will erode customer trust.
Our guide on setting up your first pricing rule covers how to configure appropriate bounds for different product categories.
3. Use approval workflows for significant changes
Automated pricing should not mean unreviewed pricing. Approval workflows ensure that unusual or large price changes get human oversight before going live. Our guide on price approval workflows explains how to implement L1/L2 review processes that balance speed with control.
4. Be honest about your pricing approach
You do not need to advertise that you use dynamic pricing software. But if a customer asks why a price changed, be straightforward. "We regularly adjust our prices to stay competitive with the market" is an honest, complete answer that no reasonable customer would object to.
5. Never exploit emergencies
Even if your jurisdiction does not have specific price gouging laws, raising prices on essential goods during emergencies is ethically indefensible and commercially destructive. Configure your rules to exclude essential categories during emergency periods, or set hard ceilings that prevent significant increases.
6. Audit regularly
Review your pricing rule outputs monthly. Look for patterns that could appear exploitative even if they are not intended that way. If your rules consistently raise prices on products that are popular with vulnerable demographics, that is worth examining regardless of the commercial logic.
7. Document your pricing policies
Maintain an internal document that describes your pricing philosophy, the types of rules you use, the bounds you set and the approval processes in place. This document serves three purposes: it guides your pricing team, it provides evidence of good faith if a complaint arises, and it forces you to articulate your ethical standards clearly.
The competitive reality
Dynamic pricing is not a fringe practice. It is how the largest retailers in the world operate:
- Amazon changes prices on millions of products multiple times per day
- Walmart uses automated pricing to match competitors in real time
- Major Australian retailers including Kogan, Catch and The Iconic all use some form of automated competitive pricing
If your competitors are adjusting their prices based on market data and you are updating yours weekly from a spreadsheet, you are not taking the ethical high ground. You are leaving money on the table while delivering a worse experience to your customers, who end up paying more than they need to.
The ethical approach to dynamic pricing is not to avoid it. It is to implement it thoughtfully, with appropriate bounds, approval workflows and transparency.
Summary
Dynamic pricing is legal, standard and - when implemented with care - ethical. The practices to avoid are clear: do not gouge during emergencies, do not mislead with fake reference prices, do not personalise prices based on customer data and do not use pricing data to collude with competitors.
Competitor-based dynamic pricing, applied uniformly to all customers with appropriate bounds and human oversight, is simply good business practice. It keeps your prices fair, your margins healthy and your customers served by a retailer that is paying attention to the market.
For a complete framework on implementing dynamic pricing responsibly, start with our guide to dynamic pricing and explore the PryceScan pricing engine to see how rules-based automation keeps you in control.