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RAM prices are shooting through the roof — and ChatGPT might help you solve that. This Black Friday, prices for a select few memory sticks have indeed hit sane levels, albeit for a very short window (they get scooped up for scalping). Advanced automation, however, can help you work around this problem. This is where the OpenAI LLM comes in: recently, they have introduced a bundle of new features like Shopping Research to specifically help gamers get the best deals.
In this article, we have listed a bunch of prompts and a custom agentic pipeline you can build to scour the internet regularly for the best RAM deals. We hope this helps you get the best prices.
Best ChatGPT prompts to try with Shopping Research for gaming RAM deals
While we are tuning this guide towards using ChatGPT, most of the following prompts can be used with any LLM. However, we lean towards the OpenAI model for its new "Shopping Research" mode that scours the internet for minutes at once, helping you land the best deals. While Claude 4.5 and Gemini 3's web search can spit out a bunch of deals, our tests revealed they are no better than Google's Shopping section. However, with the no-code Agentic Builder (read on to find out how this can be useful) and Shopping Research, ChatGPT is the tool to opt for.
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Here's a quick prompt to get started:
“Search for gaming RAM kits today (DDR5 6000–7600 MHz, CL28–CL36). Compare their current price to 2024-early 2025 SMSRP corrected for the 4× inflation trend of late 2025. Give me only the deals selling below expected inflation-adjusted value. Rank them by real discount % and include a ‘probability of price drop in next 72 hours’.”
However, you'll quickly realize that the best prices might not be listed on the major local retail shops like Newegg, Best Buy, and Amazon. We recommend you try this prompt next to specifically search for deals across local stores and storefronts abroad:
“Scan across smaller retailers and lesser-indexed Canadian/US/EU PC shops. Surface gaming RAM deals not typically listed on Amazon, Newegg, or PCPartPicker. Use semantic search to match product names even if the listing is partial or incorrectly spelled. Only show results that beat inflation-adjusted fair value.”
We have noticed that the best RAM prices are generally available after restocks. Given that most of these restocks are quickly getting sold out, you can regularly make ChatGPT look for upcoming restocks with the following prompt:
“Search for signs of upcoming restocks or near-term price dips: retailer newsletters, past sale patterns, and leaked promotional schedules. Predict the dates when certain models (e.g., DDR5-6600 CL30) traditionally go on sale. Give me a 7-day buy/wait recommendation.”
A last rather hacky option is to ask explicitly ask ChatGPT to look for deals from websites that haven't been impacted by the price inflation yet. This doesn't work most of the time, but helped pull up a 32 GB Lexar RGB stick deal for £120 for me, so it's worth a shot:
“Find RAM kits where the seller pricing algorithm is lagging behind current market inflation. These appear when metadata hasn’t updated yet. Search for mis-tagged, old-SKU, or unoptimized listings. Rank by how significantly the listing deviates from the 2025 inflation curve.”
Building an automated agent to notify the top RAM deals with ChatGPT
ChatGPT's latest Agent Builder makes it extremely easy to design no-code automations. We feel this can be creatively used to reguarly scour the internet for the best RAM deals. While plain-old Beautiful Soup web scraping could work as well, using GPT-5.1's automated search tool can land deals otherwise missed. The best part is you can modify the search space with just a natural language prompt:
“Search for the best gaming RAM deals every morning at 9 a.m. local time. Include: frequency, CAS latency, module type, price-per-GB, price-per-MHz, inflation-decoupled fair value, and historic median comparison. Only include deals that beat the inflation curve (4× MSRP rule). Summarize into a 5-item curated list.”
However, just the deals list may not be enough to curate an ideal list of deals that are worth buying. You can add a second agent to further refine the list through semantic deduplication (LLMs are great at this) and validating the deals through some pre-determined heuristics:
“Normalize product titles, identify duplicates from shady retailers, detect mislabeled frequency/latency, and re-score the deals with PPW, latency-adjusted value, and volatility index.”
Based on this, you can add a 30% undervalue trigger. Other filters may include hardcoded values: send a notification if a 7200MHz kit drops below $200. Also, you can ask ChatGPT to pull deals across regions: India, EU, and Japan may have better prices than the US. The model can then automatically add import duties and email you if the arbitrage opportunity gives at least 12% net savings. Here's an example formula you can integrate into the framework:
- FairValue2025 = MSRP2024 × 4.0 (± volatility)
- DealScore = FairValue2025 / CurrentPrice
Any DealScore > 1.30 could trigger an email. Anything above 1.15 is worth a shot.
The email sending can be automated via Zapier, Gmail, or Outlook APIs. You may have to write some Python code to make this work with ChatGPT Agent Builder (they have an export-to-code feature to make it easier for you). If that's something you aren't comfortable with, get GPT-5.1 or Claude 4.5 Sonnet to build the full pipeline for you.
Gaming RAM prices are extremely volatile this Black Friday, so the only way to land a good deal is to continuously check prices across store fronts (and even countries). Best Buy Canada might give you a better deal than your local Newegg. We hope using ChatGPT will help you score a last-minute deal before the Holidays.
