Commerce / Hack the North 2026
Dealify
A shopper makes an offer. The shopkeeper answers. Behind that exchange, a pricing engine keeps the conversation within the merchant’s rules.
Built with Bryan Maristanez and Ricardo Gao.
The live Shopify store depends on a trial. The recordings below are hosted here and remain available independently of the store.
See it in use
A negotiation, in 14 seconds

- Choose a product and open the shopkeeper.
- Make an offer and review the counter-offer.
- Use the full recording to see the merchant side.
Watch the full Dealify demo 1 min 10 sec
A product-page negotiation, followed by the merchant Console and simulator.
Open the full recording ↗The storefront is the starting point
Dealify puts negotiation on the product page. Its shopping assistant can answer questions, help find products, and present offers in the context of a Shopify store. The shopper chooses whether to accept a deal and proceed to checkout.
I worked on the storefront and Shopify store: the pages a shopper sees, store setup, and the product context that the assistant uses. The pricing engine, merchant tools, and integrations were a shared team effort.
Conversation and pricing have different jobs
The language model handles the exchange with the shopper. A shared TypeScript engine produces the available offers using product costs and merchant settings. Keeping those responsibilities separate gives the conversation room to feel natural while pricing stays inspectable in code.
The merchant Console exposes negotiations, approvals, pricing controls, and a pause action. A simulator called the Gym runs 300 seeded synthetic shoppers through the same engine. Those shoppers are test inputs, not customer usage; the simulation is a rehearsal, not a revenue forecast.
What the hackathon established
Dealify won the Shopify: Hack Shopping with AI category at Hack the North 2026. The award belongs to the team of Ritvik Goyal, Bryan Maristanez, and Ricardo Gao.
The published next steps include stronger checkout enforcement, packaging the Console as an embedded Shopify app, and comparing the simulator with real order outcomes. The submission and source repository below document the project’s scope and remaining work.