Summary
Learn how California AB 325 and New York’s algorithmic pricing ban impact ecommerce sellers, repricing software, and antitrust compliance in 2026.
Algorithmic Pricing Laws Explained: What California AB 325 and New York’s Ban Mean for Online Sellers
Algorithmic pricing has become a core tool for modern ecommerce. From automated Amazon repricers to dynamic pricing engines that react to demand, inventory, and competitor behavior, sellers increasingly rely on software to stay competitive.
But in 2026, the rules are changing… fast.
Two major states, California and New York, have passed sweeping laws targeting algorithm-driven pricing tools. These laws dramatically expand antitrust risk for businesses that use shared pricing software, especially tools that rely on competitor data.
If you sell online—or manage ecommerce stores for clients—this matters. A lot.
In this guide, we’ll break down what algorithmic pricing is, what the new laws actually say, and how sellers can protect themselves going forward.
What Is Algorithmic Pricing?
Algorithmic pricing refers to software that automatically recommends or sets prices using data inputs such as:
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Competitor prices
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Inventory levels
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Demand signals
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Sales velocity
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Historical pricing trends
In ecommerce, this is most commonly seen in:
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Amazon and Walmart repricers
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Dynamic pricing tools for Shopify stores
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SaaS platforms that adjust prices across multiple sellers
The promise is simple: price smarter and faster than humans ever could.
The risk? When many businesses rely on the same data-driven logic, prices can unintentionally move together—raising red flags under antitrust law.
Why Regulators Are Cracking Down Now
Historically, price-fixing cases required proof of explicit agreements—emails, meetings, or written contracts where competitors agreed to raise or stabilize prices.
Algorithms changed the game.
Regulators now argue that shared pricing software can function as a digital agreement, even without direct communication between competitors. When multiple sellers use the same tool, ingest similar competitor data, and follow the same recommendations, pricing coordination can occur implicitly.
That concern has now been written into law.
California AB 325: A Major Shift in Antitrust Enforcement
Starting January 1, 2026, California’s Assembly Bill 325 rewrites how algorithmic pricing is treated under the state’s Cartwright Act.
What AB 325 Prohibits
Under AB 325, it is illegal to:
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Use or distribute a “common pricing algorithm” as part of an anticompetitive agreement
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Coerce or pressure another business to adopt prices recommended by an algorithm
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Rely on algorithms that use competitor data to align, stabilize, or influence pricing across sellers
Crucially, the law applies even when the competitor data is publicly available.
This means scraping Amazon listings or market dashboards does not automatically make pricing safe.
What Is a “Common Pricing Algorithm”?
The law defines a common pricing algorithm broadly. It includes any software that:
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Uses competitor data
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Recommends or influences pricing or commercial terms
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Is used by multiple businesses within the same market
In practice, this could include:
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Third-party repricers used by many Amazon sellers
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SaaS pricing tools marketed to entire industries
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Platforms that optimize for “market-level” pricing outcomes
Lower Lawsuit Thresholds Increase Risk
One of the most important—and overlooked—changes in AB 325 is procedural.
Plaintiffs no longer need to prove that price coordination could not have occurred independently. They only need to show that a conspiracy is plausible.
That makes lawsuits easier to file and harder to dismiss early.
For sellers, this means:
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More legal exposure
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Higher compliance expectations
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Greater importance of documentation
New York’s Algorithmic Pricing Ban: Even Stricter
While California’s law applies across industries, New York took a more targeted—but harsher—approach.
Beginning in late 2025, New York bans the use of algorithmic pricing tools in residential real estate that:
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Collect pricing data from multiple owners
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Recommend rents, lease terms, or occupancy targets
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Coordinate market-wide pricing behavior
Although the statute focuses on housing, its logic mirrors California’s approach—and signals where future enforcement may go.
Penalties include:
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Significant fines
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Potential criminal liability
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Personal exposure for decision-makers
Why Ecommerce Sellers Should Pay Attention
Even if you don’t operate in real estate, these laws matter because they establish a new regulatory theory: algorithmic coordination equals antitrust risk.
That theory is now law.
For ecommerce sellers using repricing tools, regulators are asking:
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Are prices being set independently?
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Or are sellers effectively following the same algorithmic playbook?
Platforms Under Scrutiny
While regulators are careful not to name specific platforms, the attention clearly includes major marketplaces like Amazon and Walmart, where repricing tools are ubiquitous.
Third-party sellers often:
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Use identical repricers
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Rely on the same competitive data
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Optimize for Buy Box outcomes
That combination increases risk if sellers cannot show independent decision-making.
What This Means for Repricing Software
Repricing tools are not illegal.
But how they’re used now matters more than ever.
Risk increases when:
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Prices are fully automated with no human oversight
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Competitor prices are the primary input
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Multiple sellers follow identical pricing logic
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Sellers cannot explain why a price was set
Safe usage now requires intentional design and governance.
How Sellers Can Reduce Algorithmic Pricing Risk
Here are practical steps ecommerce sellers should take now.
1. Maintain Human Oversight
Avoid “set-and-forget” pricing.
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Require human approval for pricing rules
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Regularly review algorithm recommendations
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Document overrides and adjustments
Human judgment is your best legal defense.
2. Diversify Pricing Inputs
Do not rely solely on competitor data.
Safer inputs include:
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Cost of goods
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Shipping and fulfillment costs
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Inventory levels
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Brand positioning
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Margin targets
The more independent your pricing logic, the better.
3. Document Independent Decision-Making
If regulators ask why your price changed, you should be able to answer clearly.
Keep records of:
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Pricing policies
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Rule changes
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Manual adjustments
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Business justifications
This documentation matters.
4. Review Vendor Contracts Carefully
If you use third-party pricing software, review:
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How competitor data is sourced
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Whether pricing recommendations are shared across users
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Whether the tool promotes market-wide price alignment
Ask vendors direct questions. Get answers in writing.
5. Avoid Coordinated Pricing Language
Be careful with messaging like:
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“Industry standard pricing”
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“Market-wide optimization”
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“Price stabilization”
These phrases may sound harmless—but they can be problematic in legal reviews.
What Happens If You Ignore These Changes?
Best-case scenario: nothing.
Worst-case scenario:
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Civil antitrust lawsuits
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Regulatory investigations
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Injunctions banning your pricing tools
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Significant legal fees—even if you win
Given the lowered pleading standards, risk is no longer theoretical.
The Bigger Picture: Algorithmic Accountability Is Here
These laws are part of a broader shift toward regulating automated decision-making.
Pricing is just the beginning.
Expect future scrutiny of:
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Inventory algorithms
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Advertising bidding systems
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Marketplace ranking tools
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AI-driven business decisions
For ecommerce businesses, compliance is becoming a core operational function, not an afterthought.
Final Thoughts for Online Sellers
Algorithmic pricing isn’t going away. It’s too valuable.
But the era of unchecked automation is ending.
Sellers who adapt early—by adding transparency, oversight, and documentation—will be best positioned to scale safely in this new regulatory environment.
If you manage eCommerce stores or operate at scale, now is the time to review your pricing systems and compliance posture before 2026 arrives.
