Dynamic pricing algorithms allow online businesses or box stores with electronic price tags to change prices in real time based on supply, demand, time, location, and competitor prices.

Smart pricing algorithms can unintentionally work together to raise prices

Researchers have found that, through trial and error, algorithms designed to adjust prices based on market data can learn to mimic price-fixing tactics, even without explicit programming to do so. Over time, they "learn" that it is more profitable to avoid price wars and keep prices high when competitors lower prices.

Read about different levels of price discrimination

Price discrimination is a business practice in which different customers are charged different prices for the same product or service. It's one way for a business to boost profits and take advantage of its market position. There are three levels of price discrimination, differentiated by the consumers targeted and the reasons for discrimination.

Dollar stores often place staple items at the back of the store so customers encounter other less-necessary items on their way there, leading to impulse buys.

Technological advancements are historically deflationary

Technological innovation can drive down costs and prices for businesses, which can increase real wages for employees. As a result, people have more money to spend and demand increases.

The prices on prediction markets reflect how the collective forecasts future outcomes.

Artificial intelligence might make companies too efficient—which could trigger deflation

AI innovation will likely decrease costs for companies and lead to a large increase in supply. That dramatic increase could conceivably bring prices down but keep supply high. However, AI's real impact will likely be complicated by its impact on human labor and the cost of new technology.

Regular coupon users pay less attention to the actual price of what they’re buying

The psychology of coupon users can feel counterintuitive: Research suggests regular coupon users actually prioritize coupon availability over actual price comparisons.

Algorithms can be designed to train themselves and self-improve without human input, to the point where the optimized code is too complex for programmers to understand.

Social media platforms benefit not just from ensuring they have satisfied users, but also from the personal data they scoop up and can then sell to online advertisers.

What something costs is reflective of a balance in the market determined by the amount of demand relative to the supply of goods and services

Because economies are complex systems, a wide variety of issues influence this balance—including some things generally considered to be positive, like rising wages.

Since 2025, AI data center growth has created shortages and price hikes in graphics processing units and their supporting hardware, including high-speed memory.

Amazon operates a 'flywheel' business model

Central to any understanding of the multifaceted nature of Amazon's business today is the concept of the "flywheel" at the heart of the company. Put simply, it's an idea that refers to a self-reinforcing cycle that drives the continuous growth of Amazon's various businesses, including its retail arm, its Prime subscription service, and more.

Understanding how non-profit entities manage electric grids to ensure supply-demand balance

Independent System Operators in smaller areas and Regional Transmission Organizations that operate across multiple states run wholesale electricity markets. Electricity suppliers can submit competitive bids to meet estimated demand in day-ahead markets while keeping consumer costs low. ISOs and RCOs also inform markets of deviations in these estimates so that suppliers can adjust how much power they generate, which is then bought and sold in real time.

Dollar stores procure their merchandise in bulk to help cut costs

In order to keep prices cheap, dollar stores source this merchandise from a variety of places, including liquidation sales (an event that happens when retailers need to sell off inventory quickly), directly from distributors, foreign markets, and more.

A technological breakthrough altered how Billboard determined what was popular.

All-you-can-eat buffets are a practical demonstration of economic ideas

Economists have noticed some restaurant goers prefer a flat pricing model despite it usually being more expensive than per-dish costs. The strategy behind endless servings includes concepts such as economy of scale, cross-subsidization, diminishing returns (of enjoyment of excess food), and more.

Online Black Friday shoppers spent over 10% more in 2024 than they did in 2023

Online shoppers shelled out some $11.3M per minute between 10 am and 2 pm on Black Friday 2024, according to Adobe Analytics data. The $10.8B online shoppers spent on Black Friday 2024 was more than double the amount they spent online in 2017.

The psychological aspect of deflation makes it difficult for policymakers to stabilize the economy

That psychological aspect is referred to as "the deflationary spiral." When prices start decreasing, people tend to hold on to their money to pay the lowest prices. But as prices start stabilizing, people resist increasing prices. (Some users may experience a paywall.)

62% of online shoppers search for coupons or discount codes before making a purchase

Capital One estimates that 169.2 million Americans redeemed digital coupons in 2025. The bank compiled many different coupon statistics on how both shoppers and businesses used coupons last year, most of which reveal the increasing dominance of digital coupons over physical ones.

On credit and debit cards, magnetic stripes have been slowly replaced by microchips that use dynamic, encrypted data to prevent card cloning and counterfeit fraud.

In 2020 digital coupons accounted for 29.3% of all coupon redemptions

That’s compared to 28% for physical coupons, representing the year the balance of power shifted in digital’s favor. The COVID-19 pandemic era’s lockdowns increased online shopping, which accelerated digital coupon adoption.

A breakdown of algorithms, how they are constructed, and their applications

Algorithms are instructions for accomplishing a goal and typically take the form of a step-by-step procedure. Given the conditions, these procedures can take various paths, increasing an algorithm's complexity. While traditional computer algorithms are programmed to account for all possible scenarios within a given process, machine learning systems build their own rules from data-driven patterns.

Machine learning lets computers learn from data instead of relying on programming

ML is a core part of artificial intelligence and is foundational to applications like chatbots, fraud detection, and self-driving cars. Businesses are also adopting it to improve efficiency and identify patterns in data, though the latter may be inaccurate.

Simulate the effects of changing supply and demand on the electric grid

In this application, users can modify the demand of fictional cities and the supply of various generators, including a nuclear power plant and a wind farm, which can be disconnected from the grid. Notice that current may flow into or out of external systems to compensate for available generation. See what it takes to cause a blackout in different cities or shut down the entire grid.

Prediction markets and sports betting are not forms of investing, despite how some fans portray them.

Data center companies are worsening housing undersupply in some regional markets.

Why Google Search's ranking system combines filters, signals, and machine learning layers

Rather than static rankings, dynamic tools continually shift search results in real time. These include Twiddlers, which adjust ranking positions based on document traits and search context, and FreshnessNode, which reshuffles top results to prioritize timely informational content.

Prediction market Kalshi's CEO Tarek Mansour ​​has said that prediction markets are similar to the stock market—except instead of buying and selling shares of companies, users buy and sell "yes" or "no" on whether an event is going to happen or not.

The way dating apps make money is changing

As downloads fall across the industry, dating apps are trying to stay competitive by adding paywalls to their business models. The more than $6B dating app industry is largely dominated by Match Group, the parent company of both Tinder and Hinge. This video explores how AI and human behavior are changing the industry one right swipe at a time.

Electronic trading transformed investing, ushering in a new era for retail investors in which average Americans could research stocks online and then use early platforms like StreetSmart and E-Trade to conduct their transactions

In the early 1990s, stock brokerages knew that online trading would be a great equalizer, creating opportunities for more individuals to buy and sell stocks.

How disruptions in oil markets can drive up the price of everyday goods

Most types of plastic are made from polymers derived from chemicals produced by the processing and refining of crude oil and natural gas. Spikes in the cost of either fossil fuel raise the cost of wrappings, tubs, and other plastic containers for products.

The products sold at dollar stores tend to be smaller in size

Recent reports suggest that dollar stores regularly practice 'shrinkflation,' the practice of making products smaller while keeping the price the same or even raising it.

Marketers often use psychological tactics to sway consumer action

From making someone feel as though a resource is scarce (“only one item left in stock!”) to invoking a sense of authority (“top dentists recommend this toothpaste”), marketers use a variety of psychological tactics to elicit a desired response from their target audience.

Watch Ray Dalio explain how the economy works

Dalio describes the economy as a machine that runs on three main cycles: productivity growth, the short-term debt cycle, and the long-term debt cycle. Dalio says layering these three cycles on top of each other essentially creates a template for understanding changes in the economy.

An overview of 12 fundamental types of algorithms and the uses for each

These include search algorithms to quickly process and find important information, cryptographic algorithms to secure communications, randomized algorithms—such as Monte Carlo simulations for estimating probabilities of outcomes—and greedy algorithms, which make optimal choices based on available data in a step-by-step fashion, as seen in navigation apps.

How chaos helps explain why small market corrections can produce major economic instability

Oxford University complex systems professor Doyne Farmer discusses how predictions from many economic models are overly weighted toward simple relationships, such as supply and demand, and external shocks, such as the COVID-19 pandemic. However, real-world macroeconomic systems involve public and private actors interacting, producing feedback loops and cascading effects that resemble the oscillatory behavior seen in chaotic systems.

The 'dupe' economy is fueled by the youthful thrill of thrift

Historically, you don't want people to know you have a knock-off luxury item. But today's younger generations are embracing the "dupe" economy, an open celebration of luxury knock-off items where consumers are proud to pay less for something roughly equivalent to premium brand offerings.

The drastically different seat tiers on airplanes are a prime example of 'price segmentation,' which is key to keeping airlines profitable.

Statcast, MLB's sophisticated real-time data analytics system, runs machine learning models in the 23-second gap between every pitch.

How prediction markets differ from sportsbooks matters for regulation

There are a number of differences and similarities between sportsbooks and prediction markets, despite both allowing people to bet on outcomes for sports-related events. For instance, prediction markets typically earn revenue through transaction fees rather than taking directional exposure to outcomes.

Learn more about the four main market structures

In modern economic theory, there are four main market structures. Under each market structure, firms (or businesses) have differing levels of competition and reach different levels of price efficiency based on the consumer's willingness to pay for a product or service.

Today's massive data centers evolved from single-room mainframes

Punch card computers from the late 1940s were used to store and process a company's data locally before the advent of desktop computers. As the amount of data and company sizes increased alongside the miniaturization of technology, mainframes were replaced by local server rooms and external facilities with interconnected servers running cloud-based and AI software.

Web scrapers extract data from a webpage's underlying HTML code and have been used to generate sales leads, collect competitor information, identify counterfeit products, and optimize sites for search engines.

Buy now, pay later loans from 'BNPL' companies—which allow online shoppers to buy something immediately and pay for it in installments—are becoming more popular, with nearly half of millennials and Gen Zers using them.

Prices can still feel high even if inflation is slowing

This is partly because a recent spike in inflation raised prices permanently, so even though the pace of price growth has slowed, prices have still gone up for good.

BNPL companies typically make money via merchant fees rather than interest

When a merchant partners with a buy now, pay later app, consumers are more likely to spend more money with that merchant—meaning that the merchant is willing to pay a small fee in exchange for the ability for customers to pay with buy now, pay later.

AI excels at assisting with structured tasks involving logistics and planning

Tools like ChatGPT, Gemini, and Perplexity can help organize chaotic calendars, troubleshoot bedtime routines, and assist with salary planning and moving. However, specific quotes, like insurance, and local cost comparisons can be flawed since AI draws from nonlocalized datasets.

Algorithms built to detect credit card fraud can deny charges if they perceive the attempted purchase is unfamiliar or unusual based on historical data, even when a person has enough credit to make the purchase.

'Floating rate' loans periodically adjust their interest rates in accordance with economic conditions

When the Federal Reserve began raising interest rates in 2022 to combat inflation, interest payments borrowers owed to private credit lenders increased accordingly. Private credit funds benefited as loan returns increased, making the asset class attractive to investors at the time.

Traffic flow can be improved through research into card shuffling

Card-shuffling mathematics has been applied to solving problems in biology to estimate the evolutionary distance between organisms and in computer science to determine the optimal distribution of files and folders in databases.