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The hidden ways retailers are influencing your cart

• Prices arent fixed anymore AI adjusts prices based on demand and your behavior, so wait two to fivedays and track trends before making significant purchases.
• What you see isnt neutral Retailers personalize deals, search results, and urgency, so compare across devices and browse in incognito mode to avoid getting duped.
• You can use AI tools too Use price trackers to buy at the right time, Rakuten to earn cash back, and Honey to apply coupons, so you save at every step of the purchase.

Both in-store and onlineretailers are using AI algorithms to try and predict what youll buy, what youll pay, and nudge you toward products that makes them more money. And if you dont adjust how you shop, youll likely overpay.

The good news is that once you understand how it works, you can flip the script and start saving more than the average shopper.

AI is quietly controlling prices (and theyre not as fixed as you think)

Dynamic pricing is now popping up at more stores, especially as digital price tags become more widespread.

This allows retailers to change prices based on:

• The time of the day (demand spikes)
• Competitor pricing
• Your behavior (yes, really)

In many cases, stores are teasing that limited-time deal just to see if youll bite.

What smart shoppers should do about it:

• Track before you buy: For big purchases, give items two to threedays. Prices often fluctuate in thattime period.
• Use price history tools: Use Rufus or the website CamelCamelCamel to see if todays price is actually a deal. Then setup price alerts to ensure you only buy when the price is right.
• Watch for patterns: Electronics dip in price mid-week. Seasonal items spike right before demand.

Pro tip: If a price just dropped, dont assume its the lowest. Many retailers drop prices in stages to trigger you to make an impulse buy.

AI is personalizing your online shopping experience

Retailers like Amazon, Target, and Walmart arent just tracking what you buy, theyre tracking how you behave while you shop.

That includes:

• How long you stare at a product or hover (mouse over) it.
• Whether you scroll past it quickly or click.
• If you compare similar items.
• How often you come back before buying.

All of that feeds the algorithms which then decides the following:

• What products show up first in your search results.
• What items get labeled as a deal.
• What kind of urgency wording you see (Only threeleft!).

Actionable ways to avoid overpaying:

• Use incognito mode for big purchases (appliances, travel gear, electronics).
• Check prices logged out vs. logged in.
• Compare across devices. Mobile vs. desktop can definitely show different results.
• Clear your browser cookies before you re-check a price.

Pro tip: If youve been looking at an item repeatedly online, trying to decide if you should buy it, stop for 2448 hours. Sometimes that short pause will trigger a discount. Make sure youre registered with the site with your current email address.

AI is influencing what you buy (and what you dont even see)

Those Top Picks and Recommended for You sections?

Theyre designed to:

• Push higher-margin products
• Move excess inventory
• Steer you away from lower-profit options

Thats why the cheapest option is rarely front and center.

What to do instead:

• Scroll past the first few results theyre often paid or promoted.
• Search generic terms instead of brand names.
• Look for off-brand alternatives with similar specs.

Pro tip: Click sort by price first, then filter your search results. It completely changes what you see. Then set a mental walk-away price. If its not below that number, dont buy it, no matter how good the deal looks.

AI is making returns easier but also tracking you

Retailers like Amazon now offer very handy online returns.

The idea of making a return and not needing any boxes, packaging material, or even a shipping label, is super handy.

But that conveniencecomes at a price that shoppers need to be aware of.

In particular, with online returns, AI is tracking:

• Your return frequency.
• Categories you return the most.
• Patterns of try and send back behavior.

Too many returns could lead to warnings,restrictions, or even account closures if your return history includes fraudulent behavior.

How to use this to your advantage:

• Batch returns into one trip to save time and gas.
• Make your return quickly as youll have faster access to the funds, and wont risk going beyond the stores return window.
• Use returns strategically (wrong size, defective items), and not as a way to try-on or test items at home.

AI is predicting demand (and raising prices before you notice)

Many retailers now have the ability to anticipate the following:

• Seasonal demand
• Viral product trends
• Weather-driven purchases

Thats why:

• Space heaters spike during cold snaps.
• Fans spike during heat waves.
• Holiday items jump right before the holiday.

The best way to beat AI is to zig when everyone else is zagging.

This means:

• Buy off-season whenever possible.
• Stock up during low-demand windows.
• Avoid those last-minute purchases tied to trends.

Pro tip: A really good rule-of-thumb is that when everyone suddenly wants something, youre probably already too late, and stuck paying top dollar for it.

The good news: AI tools are on your side, too

Youre not powerless here, and there are actually some AI-driven tools that can help you save money.

In particular, use these tools to fight back:

• Honey Auto-applies coupon codes
• Rakuten Gives you cash back on your shopping
• CamelCamelCamel Shows real price history

The real power move is to stack all three of these tools to maximize your savings:

• Check the price first using CamelCamelCamel Make sure its actually a deal.
• Go to Rakuten and click through to the store This activates your cash back.
• Add item to cart and head to checkout.
• Let the Honey browser extension apply any coupon codes at checkout This stacks extra savings.

The quick formula to remember: Price check Cash back Checkout Coupons

Pro tip: One final trick to save some money is to use the abandon cart strategy to nudge the algorithm to give you a lower price.

Heres how it works:

• Add the item to your cart.
• Leave it there for a day or two.
• Revisit via a different device or browser.

Some retailers will respond by dropping the price slightly, or theyll send you a coupon via email urging you to come back and complete your purchase at a discount. Its a worth a shot, especially on expensive purchases like electronics and major appliances.

Some luxury vehicles make their way into this week's recall roundup

Here are the latest vehicle and equipment recalls announced by the National Highway Traffic Safety Administration (NHTSA).

Advanced testing reveals dozens of PFAS compounds in umbilical cord blood

• Babies may be exposed to far more PFAS chemicals in the womb than previously measured.

• In a recent study, researchers identified 42 different PFAS compounds using advanced testing methods.

• Traditional testing captures only a small fraction of total prenatal exposure.

Forever chemicals, or PFAS, are everywhere from food packaging to stain-resistant fabrics and they dont break down easily in the environment or the human body. That persistence is part of what makes them concerning, especially during pregnancy.

A new study from Mount Sinai suggests that babies may be exposed to a much broader range of these chemicals before birth than scientists previously understood. Earlier research had already linked prenatal PFAS exposure to outcomes like low birth weight and changes in immune response, but measuring the full scope of exposure has been a challenge.

Our findings suggest that how we measure PFAS really matters, researcher Shelley H. Liu, Ph.D. said in a news release.

When we look more comprehensively, we see that babies are exposed to far more PFAS chemicals before birth than we previously realized and some of the patterns we thought we understood may change.

The study

To better understand prenatal exposure, researchers analyzed stored umbilical cord blood samples from 120 babies. These samples came from a long-running pregnancy study conducted in Cincinnati and were originally collected between 2003 and 2006.

What sets this study apart is the method used. Instead of relying solely on traditional targeted testing which looks for a limited set of known PFAS scientists also used a more expansive, data-driven approach called nontargeted analysis. This method scans for a much wider array of chemicals, including ones not routinely measured.

By combining both approaches, researchers were able to compare what standard testing detects versus what might otherwise go unnoticed.

What the study found

The results revealed a much more complex picture of prenatal exposure. While traditional methods typically identify a small number of PFAS, the broader analysis detected 42 different compounds in umbilical cord blood.

Notably, only a handful of those chemicals would have been captured using standard testing alone. That means previous estimates of exposure may have significantly underestimated how many PFAS babies encounter before birth.

The findings also highlight that PFAS exposure isnt just about one or two well-known chemicals its a mixture of many substances, some of which are not yet fully understood. Researchers say this more complete picture could help improve how exposure is measured in the future and may eventually inform clinical care, though PFAS testing is not currently part of routine medical practice.

Overall, the study underscores that prenatal exposure to PFAS is more widespread and complex than previously recognized an insight that could shape future research and public health efforts.

Our study helps show that prenatal PFAS exposure is more complex and widespread than earlier studies suggested, Dr. Liu said. Understanding the full picture is essential if we want to protect child health and reduce preventable environmental risks.

Bond yields, which influence mortgage rates, are rising due to new inflation fears

By Mark Huffman of ConsumerAffairs

• Mortgage rates jump to 6.38%: Freddie Mac reports the average 30-year fixed-rate mortgage climbed sharply last week, marking the highest level in more than six months.

• War-driven inflation fears are the key trigger: The Iran conflict has pushed oil prices higher, fueling expectations of sustained inflation and delaying potential interest rate cuts.

• Bond markets are transmitting the shock: Rising Treasury yields driven by investor anxiety over inflation and geopolitical risk are directly lifting mortgage rates.

The average rate on a 30-year fixed mortgage rose to 6.38% last week, according to Freddie Mac, as the economic fallout from the Iran war continues to reverberate through financial markets and into the housing sector.

The increase represents a sharp turnaround from just weeks ago, when rates had dipped below 6%, and underscores how quickly geopolitical events can influence everyday borrowing costs.

At the center of the surge is a familiar economic chain reaction: war drives up oil prices, which feeds inflation fears, which in turn pushes interest rates higher.

Energy shock fuels inflation concerns

The conflict involving Iran has disrupted global energy markets, sending oil prices higher and raising the cost of transportation, manufacturing, and consumer goods.

As inflation expectations rise, investors demand higher returns on government bonds to compensate for the eroding value of future money. That dynamic has been evident in recent weeks, with Treasury yields climbing.

Higher inflation also complicates the Federal Reserves outlook. Instead of cutting rates to support the economy, policymakers are now expected to keep borrowing costs elevated for longer, adding further upward pressure on mortgages.

Bond market moves translate into mortgage costs

Mortgage rates are closely linked to the 10-year Treasury yield, a benchmark that has risen alongside war-driven uncertainty.

As yields increase, lenders pass those higher financing costs on to consumers in the form of more expensive home loans. Analysts say both the benchmark yield and the additional risk premium demanded by investors have risen during the conflict.

The spike in rates is already cooling housing activity during what is typically the busiest spring buying season. Mortgage applications have declined, and affordability challenges are intensifying for prospective buyers.

Even modest increases in rates can significantly raise monthly payments, pricing some buyers out of the market or forcing them to delay purchases.

Economists warn that the trajectory of mortgage rates will depend heavily on how long the conflict and its impact on energy prices and inflation persists. For now, the wars ripple effects are being felt not just at the gas pump, but in the cost of financing a home.