Shopping Trend Radar Agent

An AI trend scout

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Inspiration

A system that monitors Amazon sales, social media, YouTube, Meta, Instagram, TikTok, Pinterest, Etsy, Walmart, eBay, Target and surfaces trending products to merchants or consumers. A digital tool or system powered by AI that watches what’s becoming popular across major online platforms.

What it does

Generic → Spot emerging product trends before they go mainstream. Identify fast-rising products, brands, or categories. Understand what consumers are engaging with or buying.

Merchants/sellers →

  1. Visualize trending products. So they can stock or promote trending products ahead of competitors.
  2. Trend scoring (e.g., how fast a product is rising or how long it might last).
  3. Discover trending products before they peak. Decide which products to add to inventory based on trend momentum. Source seasonal or viral products that align with current demand.
  4. See which products are trending on Amazon or TikTok faster than competitors. React quicker to market shifts (e.g., a product going viral on TikTok last night could be selling out today).
  5. Align advertising campaigns with what’s trending on social media. Use real-time trend data to target the right audiences.
  6. Anticipate demand spikes for a trending item and stock up accordingly. Avoid overstocking products that are fading in popularity.
  7. Uncover micro-trends or emerging niches before they become saturated
  8. Use trend insights to create private-label or custom products that fit what’s currently hot in the market.

Consumers →

  1. Find out what’s popular right now in fashion, tech, beauty, gadgets, etc. See what’s going viral on TikTok, YouTube, or Instagram.
  2. find gift ideas based on what’s trending for different interests.
  3. Get the calendar events, celebrations and upcoming festivals to promote and suggest products. And send reminders about events+recommended products+links+quick price comparison+from which site everyone buys most of the time.
  4. Be among the first to buy trending products before they sell out or increase in price.

How we built it

Bedrock AgentCore + SageMaker: Trend prediction from multiple data streams Nova SDK: Connects to YouTube, TikTok APIs Amazon Q: Policy & product metadata Strands SDK: Ingests internal sales data Lambda + S3: Dashboard generation

Challenges we ran into

Working with real time data, collecting huge data from online took a lot of time and generating the comparisons were hard. Because the trend is changing frequently.

Accomplishments that we're proud of

Hybrid AI/ML application, Implements time-series forecasting, feeding into regression models for trend score prediction, Rule-based classification application

What we learned

prompt engineering, feature engineering, deterministic categorization combined with AI insights.

What's next for Shopping Trend Radar Agent

Real time implementation, Sending notifications, Auth system, Privacy protection

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