Save Us Money

Price monitoring and deal negotiation is fragmented across platforms. Build web agents that aggregate demand, track savings, negotiate deals, and execute purchases on behalf of consumers.

The Problem

Consumers leave money on the table because saving money takes work:

• •Price monitoring: Tracking prices across retailers is tedious
• •Deal hunting: Finding the best deals requires constant attention
• •Negotiation: Many prices are negotiable, but people don't try
• •Group buying: Aggregating demand could get better prices, but logistics are hard

The Solution

Build AI agents that save money for consumers:

• •Price tracking: Monitor prices across all retailers automatically
• •Deal discovery: Find and surface relevant deals
• •Negotiation: Negotiate prices on behalf of users
• •Demand aggregation: Combine buying power for better group deals
• •Purchase execution: Complete transactions when criteria are met

Technical Approach

Web agents that can:

• •Navigate e-commerce sites
• •Compare prices across platforms
• •Interact with chat and email for negotiation
• •Execute purchases securely

The Business Model

Take a percentage of savings delivered. Aligned incentives: you only make money when customers save money.

The Opportunity

Consumer spending is massive. Even saving people a few percent represents enormous value.