# Behavior-Learning Grocery Apps The PriceSwarm App For Groceries Creates Tailored Shopping Lists By Alyson Wyers | Published 2015-11-26 | Tech Source: Trend Hunter, https://www.trendhunter.com/trends/app-for-groceries References: [springwise](http://www.springwise.com/app-notifies-forgotten-groceries-instore/) & [priceswarm](https://priceswarm.com/) If you find you often get forgetful when doing your grocery shopping, even with a list, this app for groceries is one you must download as soon as possible. The PriceSwarm app creates custom grocery lists for users based on habit-analyzing data. Using the same principle as targeted ads online, PriceSwarm uses past receipts to suggest items and the [cheapest stores to find them](https://www.trendhunter.com/trends/birdzi). This makes it even more useful for [users on a budget](https://www.trendhunter.com/trends/fingrow). In addition to analyzing your habits and budget, the app for groceries also adjusts as your often-bought food products repertoire grows. It even notifies you if you are about to run out of a certain item to keep repeat trips less frequent. ## Trend Insights (Trend Hunter) - Score: 3.1/10 - Popularity: 38% | Activity: 47% | Freshness: 8% - Audience gender: 50% men, 50% women - Primary generations: Millennial, Gen X - Top markets: North America ## Categories [Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [Mobile](https://www.trendhunter.com/mobile) ## Key Themes ### What Makes This Trend Stand Out - **Behavior-learning Grocery Apps:** Personalized grocery apps utilizing habit-analyzing data are becoming increasingly common. - **Targeted Recommendations:** Recommendation systems based on past purchase data can provide tailored suggestions to consumers. - **Smart List Adjustments:** Grocery list apps can now adjust to a user’s changing habits and preferred stores. ### Sectors Adopting This - **Retail:** Retailers can implement personalized recommendation systems to improve customer experience. - **Technology:** Developing more advanced machine learning algorithms can lead to improved grocery apps and other recommendation systems. - **Data Analytics:** Tracking and analyzing shopping behavior can provide valuable insights for retailers and app developers alike. ## Related on Trend Hunter - [Collaborative Grocery Planners](https://www.trendhunter.com/trends/simple-grocery-list.md) - [Smart Shopping Tools](https://www.trendhunter.com/trends/bleep-list.md) - [Navigational Grocery Store Apps](https://www.trendhunter.com/trends/speed-grocer.md) - [Grocery Spending Trackers](https://www.trendhunter.com/trends/foodkart.md) - [AI-Powered Grocery Apps](https://www.trendhunter.com/trends/tredish.md) - [Shopping List Organizers](https://www.trendhunter.com/trends/potato-shopping-list.md) - [Streamlined Grocery List Makers](https://www.trendhunter.com/trends/honeydo.md) - [Smart Grocery Shopping Support](https://www.trendhunter.com/trends/smartchef.md) - [Customizable Shopping Management Tools](https://www.trendhunter.com/trends/handytote.md)