Share-A-Cart Produkt-Blog
Share-A-Cart ist ein lebendiges Produkt, das sich ständig weiterentwickelt. Finden Sie hier unsere neuesten Nachrichten.
Share-A-Cart Wins Tech & Learning’s “Best for Back to School” Award — Two Years Running
Geteilt am 24 September 2026, von Ed
Share-A-Cart has been named a winner of Tech & Learning’s Best for Back to School 2026 award in the Secondary category — our second year in a row. Here’s what the judges had to say.
Share-A-Cart Is Now Live in ChatGPT and Claude
Geteilt am 9 September 2026, von Ed
Share-A-Cart is now officially available in both ChatGPT’s plugin directory and Claude’s Connectors directory. Here’s how to connect it in either one, so you can go from planning to a shareable cart without leaving your conversation.
From Lesson Plan to Purchase Order: How Teachers Can Use the Share-A-Cart AI Connector
Geteilt am 4 September 2026, von Ed
A teacher uploaded a water filter lesson plan and asked Claude what supplies it needed. Here’s how the Share-A-Cart AI connector turned it into an Amazon cart — sized to the class, and ready to forward to whoever does the purchasing.
Scan It, Save It: Barcode Scanning and Deals Are Now Live in the Share-A-Cart App
Geteilt am 4 September 2026, von Ed
Two new features are live in the Share-A-Cart iOS and Android apps: scan any product’s barcode to add it straight to a cart, and browse coupons, sales, and exclusive discounts in a brand-new Deals tab.
Back-to-School, Made a Little Easier
Geteilt am 18 August 2026, von Ed
Between supply lists, lesson planning, and getting everything approved and ordered, back-to-school season asks a lot of teachers. Here are three ways Share-A-Cart can help — from faster purchasing approvals to turning a lesson plan into a ready-to-order cart.
Share-A-Cart Now Has an MCP Server — Build Shopping Into Your AI Agent
Geteilt am 17 July 2026, von Ed
Share-A-Cart now has an MCP server — letting any AI agent, including Claude, search products, build carts, and generate shareable checkout links through simple tool calls instead of scraping retailer sites.
