A mobile bookmarking app with AI shopping recommendations
Shoplater is Twistag's own product: a mobile app for shoppers who save now and decide later, across any retailer. It runs on iOS and Android from one React Native codebase, reads product details from any store's link, and uses AI to bring saved items back when they are worth acting on. It is also where Twistag tests the mobile and recommendation patterns it brings to client work.
- InternalTwistag's own product
- iOS + Androidfrom one React Native codebase
- AIcontextual recall of saved items
- Client
- Shoplater
- Industry
- Retail & consumer
- Practices
- Product Engineering
- Timeline
- Multi-year, internal product
- Stack
- React Native, Python, AWS
Saved, then forgotten.
Shoplater is an internal Twistag product — a cross-platform mobile bookmarking app for shoppers who save now and decide later, with an AI layer that surfaces saved items when they are worth acting on. Shoplater solves a category problem: browser bookmarks do not survive across devices, wishlists are siloed per retailer, and screenshots get lost in a camera roll. Twistag built it on React Native for iOS and Android from one codebase, with a Python parsing layer on AWS that extracts product details from any retailer URL without needing that retailer's cooperation, and item-level conflict resolution for cross-device sync.
Shopping decisions do not happen in a single session. A shopper sees a product they like at lunch, gets distracted, and never returns to it. Browser bookmarks do not survive across devices. Wishlist features are siloed per retailer, so every store keeps its own list and nothing is comparable across them. Screenshots get lost in a camera roll. The thing the shopper wanted to remember disappears into the day. Shoplater is an internal Twistag product, built and owned by Twistag as a consumer-facing testbed for its product engineering and AI recommendation work. It is not a client engagement and is not counted in Twistag's client project totals. The build had two hard parts — a fast, reliable cross-platform mobile experience, and a recommendation layer good enough that returning to saved items feels like discovery.
Universal by design.
Save from anywhere in one tap.
A share extension on iOS and Android saves a product from any retailer's app or website, with no retailer partnership needed.
Read any product page.
A Python service on AWS extracts name, price, image, retailer and availability from a wide range of page formats, with Open Graph metadata as the fallback when a layout changes.
Bring items back at the right moment.
Saved items resurface in context: a price drop, a pattern such as casual wear before the weekend, or an item saved again and again.
Sync as a core feature.
Item-level conflict resolution keeps every device consistent, even on an intermittent connection.
A testbed for client work.
Shoplater works as the consumer-facing testbed for Twistag's product engineering and AI recommendation capabilities, and demonstrates three patterns Twistag applies to client work: cross-platform mobile delivery from a single codebase, AI recommendations that read as useful and unobtrusive, and treating sync and offline behaviour as core product features. Lessons from the recommendation engine and the cross-device sync architecture have flowed directly into Twistag client projects in retail and DTC. No usage, revenue or retention metrics are published for Shoplater, and this page does not claim any.
The recommendations suggest when to act on what was saved.
- React Native
- Python
- AWS
Shoplater is an internal Twistag product: a cross-platform mobile bookmarking app that surfaces saved items when they are worth acting on.
