DealFlipAI Methodology

DealFlipAI scores listings on a 0 to 100 scale. The score is not a simple discount calculator. It blends estimated resale spread, condition signals, listing quality, category-specific demand, valuation confidence, and risk penalties.

• 80 to 100: strong opportunity if the listing details verify in person.
• 65 to 79: promising, but usually needs negotiation or cleaner comps.
• 50 to 64: possible margin, but not urgent.
• Below 50: usually too thin, too risky, or too uncertain.

When a listing has warning signs such as down-payment language, parts-only wording, suspiciously low pricing, or weak descriptions, the score can be reduced or the listing can be filtered entirely.

Valuations are shown as estimates, not appraisals. The platform uses category-specific logic for vehicles, phones, electronics, furniture, tools, appliances, collectibles, and general listings. When available, the system factors in detected specs, model details, mileage, title status, condition language, options, and depreciation.

Confidence is higher when the listing has enough details to identify the item cleanly. Confidence is lower when photos are limited, the title is vague, the model is unclear, the condition is unknown, or comparable pricing is thin.

The product should be read as a decision assistant: it helps you prioritize what to inspect, message, and negotiate. It does not replace your final verification before buying.

Risk checks look for patterns that often make a listing less profitable or less safe to pursue. Examples include unusually low pricing, payment/deposit language, incomplete descriptions, title issues, repair clues, mismatched item details, and language that suggests the listed price is not the true purchase price.

Risk signals do not automatically mean a seller is dishonest. They mean the listing needs more verification before you spend time, travel, or money on it.

Saved alerts are paid background searches. The system groups identical searches into shared scan shards so several users can be served by one marketplace scan when their criteria match. That keeps alert delivery faster and controls infrastructure cost.

Alert timing depends on the user's plan, the saved search, the marketplace data source, and delivery-channel configuration. Matches are always stored in the alert inbox first. Push and email delivery are best-effort external channels with duplicate suppression, delivery caps, quiet-hours handling, and retry state.

Marketplace listings are messy. Sellers leave out details, reuse photos, change prices, mark items unavailable, or describe condition inconsistently. DealFlipAI handles this by showing confidence and risk context, but users should still verify ownership, condition, serial numbers, title status, payment safety, and pickup logistics.

Good flipping decisions combine the score with real-world checks: inspection, negotiation, travel cost, platform fees, repair cost, resale demand, and your available cash.