Inspiration

Online merchants often lose customers at checkout because of price differences, even when a better offer could help close the sale.

I wanted to explore how AI could turn price hesitation into completed purchases, while balancing price transparency and merchant profitability.

What it does

Deal Engine is an AI-powered checkout workflow that helps merchants make competitive, margin-protected offers.

When a customer checks prices, Deal Engine retrieves live competitor offers and uses two AI agents to recommend whether to match the lowest price, offer a partial discount, or keep the original price.

Customers can accept the offer or proceed at the original price through PayPal checkout.

How it was built

I built Deal Engine using Next.js, TypeScript, PostgreSQL, Supabase, and Vercel, integrating three core technologies:

  • Channel3: Provides product information and live competitor offers.
  • Meta Muse Spark: Powers two AI agents.
  • PayPal: Enables Sandbox checkout with server-authorized transaction amounts.

A deterministic validation layer ensures AI proposals comply with merchant pricing policies.

Challenges

My biggest challenge was making AI pricing decisions commercially meaningful rather than simply matching the lowest price.

I also had to distinguish real market observations from simulated merchant data, handle incomplete competitor information, and prevent AI recommendations from bypassing merchant pricing rules or payment authorization.

Accomplishments

I built a working multi-agent checkout workflow connecting live competitor pricing, simulated merchant business intelligence, AI-assisted negotiation, and PayPal Sandbox payments.

Most importantly, merchants remain in control: AI recommends prices, but only policy-compliant offers can proceed to checkout.

Take Aways

I learned that AI can go beyond recommendations to support commercial decisions.

Combining specialized agents with market intelligence creates more context-aware pricing opportunities, while deterministic safeguards keep financial transactions controlled.

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