Predict, optimize, and secure cash flows to combat auction house debt crises
Major art auction houses like Sotheby's have endured years of global market crisis, causing debts to multiply and threatening financial stability.
LiquidGavel uses advanced analytics to forecast auction revenues with high precision by analyzing lot quality, market trends, and historical performance. It then provides specific recommendations to adjust pricing, timing, and promotion strategies to maximize liquidity for debt servicing. Executives can simulate different scenarios to ensure financial stability even in prolonged market slumps.
Executives and financial stakeholders at major art auction houses (Sotheby's, Christie's and equivalents) navigating prolonged market slumps
Proprietary art market volatility model trained on exclusive historical data from major auction houses, delivering 3x more accurate forecasts than generic tools.
professional and supportive
Import auction catalogs and get AI-powered revenue predictions with confidence intervals
Real-time view of projected cash flows against outstanding debts and obligations
Recommends ideal reserve prices and estimated selling prices per lot to maximize liquidity
Model the impact of different auction strategies on your overall financial health
Automated PDF reports summarizing key metrics and recommendations for stakeholders
Pulls in real-time art market indices and category performance data
Anonymous comparison of your performance metrics against similar auction houses
Integrate with Quickbooks and Xero to auto-pull debt and expense data
Ask natural language questions about your auction strategy and get instant insights
| Column | Type | Nullable |
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| id | uuid | No |
| name | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
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| id | uuid | No |
| org_id | uuid | No |
| text | No | |
| role | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| org_id | uuid | No |
| title | text | No |
| date | timestamp | No |
| predicted_revenue | int | Yes |
| status | text | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
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| id | uuid | No |
| org_id | uuid | No |
| amount | int | No |
| due_date | timestamp | No |
| description | text | Yes |
Relationships:
/api/auctionsRetrieve list of auctions with forecasts for an organization
/api/auctionsCreate new auction and trigger prediction engine
/api/forecastGenerate or regenerate revenue forecast for given auction data
/api/dashboardFetch aggregated financial metrics and debt coverage data
/api/reportsGenerate custom PDF report
1 user, 3 auctions/mo
5 users, priority support
Unlimited users and auctions
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 40 | 8% | $450 | $5,400 |
| Month 6 | 220 | 15% | $2,850 | $34,200 |
The only financial intelligence platform designed specifically for auction houses in crisis. Predict revenues, optimize strategies, and stabilize your balance sheet.
Target LinkedIn connections in the art finance community for pilot programs. Offer free onboarding calls and customized demos to financial stakeholders at mid-sized auction houses. Attend key industry events like TEFAF or Art Basel to network and demo the product live to decision makers.
Strong in inventory and client management
No specialized financial forecasting for downturns
Hyper-focused on liquidity and debt reduction with auction-specific AI
Great for online sales
Not built for traditional auction financial planning
Dedicated B2B tool for major houses' executive financial needs
Powerful visualization
Requires significant setup and lacks art market domain knowledge
Plug-and-play with pre-built art auction models and insights
Building a network of participating auction houses contributing anonymized data, improving the AI models over time through flywheel effect. Also, exclusive partnerships for proprietary market indices.
Record high debts at major auction houses following the post-COVID market correction, combined with maturing AI capabilities for accurate market predictions, makes this the perfect time for specialized recovery tools.
Low adoption due to conservative nature of auction executives
Offer extensive free pilots and partner with respected industry consultants for endorsements
Inaccurate forecasts damaging trust
Start with conservative estimates, provide confidence intervals, and include human override options
Data privacy concerns with sensitive financial info
Implement SOC2 compliance from day one and use strong encryption
Success: At least 10 confirm the pain point and express willingness to pay $35+/mo
Success: 80% retention after 30 days and positive feedback on forecast accuracy
Success: Acquire 30 users in first month with 3 paid conversions
Success: Reach 150 total users and $2000 MRR
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