Dynamic Bidding Notifications for Live Auctions
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Solution Overview
Problem
In live auctions, estimating prices for unique items is challenging due to the lack of comparable items, leading to uncertainty for sellers and potential buyers, and the fast-paced nature of auctions often results in missed bidding opportunities for buyers using proxy or absentee bids.
Innovation Solution
A price guidance system that analyzes historical item listings and bid velocity data to generate a price guidance model, providing suggested prices and bidding notifications, including estimated starting times and maximum proxy bid values to help buyers successfully bid on items.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sellers use live auctions for unique items, then they can reach potential buyers, but they face uncertainty about the eventual selling price due to lack of comparable items
Solution Approach 1:
The system performs preliminary analysis of historical auction data and generates predicted selling prices before the live auction takes place. This allows sellers to have price guidance in advance, reducing uncertainty while still participating in live auctions for unique items.
Solution Approach 2:
The system introduces an intermediary price guidance mechanism that mediates between the seller's need for price certainty and the live auction format. The predicted prices serve as a reference point, allowing sellers to make informed decisions about whether to proceed with live auctions for unique items.
2Ease of operation
If buyers use proxy or absentee bids in live auctions, then they can bid remotely, but they often lose out due to the fast and irregular pacing of auctions
Solution Approach 1:
The system generates predicted selling prices and bidding recommendations in advance of the live auction. This allows proxy bidders to set informed maximum bids before the auction, improving their chances of success despite the fast pacing and irregular timing of live auctions.
Solution Approach 2:
The system provides feedback to buyers in the form of predicted prices and bidding guidance based on historical data. This feedback loop enables proxy bidders to make more accurate decisions about their maximum bids, increasing their reliability in winning auctions despite remote participation.
3Ease of operation
If buyers sit through the entire live auction to bid on a specific item, then they can participate in proxy bidding, but they waste time watching other items
Solution Approach 1:
The system performs preliminary analysis to predict when specific items will come up for bid and provides this timing information to buyers in advance. This allows buyers to know exactly when to expect their items of interest, reducing the need to sit through the entire auction and minimizing time waste.
Data Source
AI summary
In various example embodiments, a system and method for providing dynamic bidding notifications and price guidance for buyers are presented. The system receives a selection of a present item listing and accesses historical auction data for a set of historical item listings. The system generates a dynamic bidding model for bidding on the present item and generates one or more bidding notifications based on the dynamic bidding model. The system then causes presentation of the one or more bidding notifications on a client device.