Team PricePoint · MGIS 130 · Spring 2026

You're not seeing the same
prices as everyone else.

Algorithmic pricing personalizes what you pay based on your device, your location, your browsing history, and a bunch of other signals you probably never think about. We built a simulator so you can watch it happening to you.

$2K+
Avg. overcharge per year
6
Industries analyzed
18
Pricing signals tracked

The Algorithm Sees You

You open a booking site. Your digital footprint gets read.

📱 iPhone 16 Pro
📍 New York, NY
🕘 Friday, 8:42 PM
🔍 5th search today
⭐ Premium member
💳 High-spend history
🌐 Logged in
🍪 Cross-site cookies

Fed to the pricing algorithm

ALG0R!THM

Your personalized price

Base price
$199.00
Your price
$389.47
+95.7%

Same flight, different price.

No asterisk, no disclosure, no warning. Just a number the site calculated specifically for you.

What this is

The price tag isn't fixed anymore.
It shifts around to match whoever's looking.

Algorithmic pricing (sometimes called dynamic or personalized pricing) is what happens when companies use your digital data to decide what you pay. Amazon changes its prices around the clock. Uber charges more when you need a ride fast. Airlines quietly raise fares when your search patterns suggest you're running out of options. Most people have no idea any of this is happening to them.

Dynamic

Prices move in real time

The price you see isn't locked in. Amazon changes prices on millions of products every day. An Uber fare can change between the moment you open the app and the moment you actually hit book. By the time you've thought through whether to buy, you might already be looking at a different number.

Personal

Same product, different price

The device you're on, the city you live in, the stuff you've searched for recently, whether you're a loyalty member: companies feed all of this into models that try to guess the highest price you'll actually say yes to. Someone sitting on the same couch as you could easily see a different number for the same thing.

Invisible

Nobody tells you it's happening

There's no notice that the price was personalized. You don't get a receipt telling you what the markup was or why. The whole thing is legal in most cases, common across industries, and for the most part nobody's regulating it yet.

The six issues

It's not just a tech story.
It's a fairness story.

Six threads kept showing up across the cases we looked at. The vocabulary shifts when you go from airlines to rideshare to groceries to insurance, but the underlying pattern stays pretty consistent.

Case studies

Six industries.
One playbook.

Each case study walks through how a specific industry uses your data to set your price, and more importantly, what you can actually do about it.

Interactive simulator

Watch your own price
shift in real time.

Pick a product, then build a profile by choosing your device, your city, the time of day, and a few things about how you browse. Watch how each factor pushes the price up or down. The pricing models underneath are drawn from real industry research, not just made up.

8 products, 8 signals, 5 modes
Flights, hotels, rideshare, streaming, and more.
Factor-by-factor breakdown
See what each signal contributes to the final number.
Challenge & versus modes
Try to beat the algorithm. Pit two profiles head-to-head.
pricepoint v3.0
✈️ Flight
🏨 Hotel
🎧 Electronics
🚗 Rideshare
Your personalized price
$389.47
$199.00 +95.7%
🕐 Time of day +6.2%
📍 Location +1.8%
📅 Day of week +2.5%
🔒 Browsing mode −0.6%
Click to try it live Open →

How it works

From your click
to your price, in 40 ms.

It all happens faster than you can blink. Here's what's actually running in the background between your tap and the number that ends up on your screen.

About the project

A project for consumers.
Built by students who are ones too.

PricePoint is a student research and advocacy project built for MGIS 130 at RIT Saunders College of Business. Our goal is pretty simple: help everyday consumers understand algorithmic pricing and recognize when it's happening to them.

FAQ

Questions
worth asking.

Ten things worth knowing about how algorithms are pricing you, and what actually works when you want to push back.

Grounded in academic research
Pulled from industry reports and FTC filings
Simulator uses models from real cases
Written for shoppers, not for lawyers
18
Pricing signals modeled
6
Industries documented
40+
Cited sources
100%
Free & ad-free

One last thing

Money talks.
Make sure you know what yours is saying.

The only real defense against a system you can't see is knowing it's there. Every time you check a price online, the site is checking you back. Five minutes in the simulator and checkout pages stop looking the same.

Nothing to sign up for. No tracking on this site. And no algorithm watching you while you read about algorithms.