Does it support international markets?

It fully supports the US with ML pricing and velocity workflows. For the UK, it supports active inventory searches and uses comp medians for pricing estimates.

Can it calculate the financial impact for the dealer?

Yes, it calculates 'floor plan burn' based on a daily cost (defaulting to $35/day) to show dealers how much they lose by keeping aged units on the lot.

How are leads grouped for sales teams?

The skill clusters individual vehicles by dealership name and city, then ranks those dealers by total auction revenue potential and urgency for easier prospecting.

How does the skill identify wholesale-ready inventory?

It flags vehicles with high Days on Market (DOM) and those priced significantly above the estimated independent wholesale value using Marketcheck data.

Consignment Sourcer

Name: Consignment Sourcer
Author: MarketcheckHub

byMarketcheckHub

•

분석 및 모니터링

Identifies high-potential wholesale consignment leads for auction houses by analyzing aged and overpriced dealer inventory.

The Consignment Sourcer skill enables auction house representatives to proactively scout the market for vehicles that are prime candidates for wholesale. By analyzing Days on Market (DOM), price-to-wholesale ratios, and estimated floor plan 'burn' costs, it identifies dealers sitting on stagnant capital. The skill clusters data by dealership, providing sales teams with ready-to-use pitches that include estimated hammer prices and total auction revenue potential, helping auction houses fill their lanes with high-quality consigned inventory.

주요 기능

01Calculates daily floor plan burn costs to demonstrate dealer loss on stagnant units

02Estimates auction hammer prices using ML-driven independent dealer pricing proxies

032 GitHub stars

04Generates automated sales pitches including overpriced percentages and recovery estimates

05Clusters units by dealership to identify high-value multi-car consignment prospects

06Identifies aged inventory (DOM > 60) across specific regions and ZIP codes

사용 사례

01Creating data-driven sales collateral for auction house consignment representatives

02Identifying local dealerships with high-volume aged inventory for consignment prospecting

03Calculating potential auction fee revenue based on regional wholesale trends

주요 기능

01Calculates daily floor plan burn costs to demonstrate dealer loss on stagnant units

02Estimates auction hammer prices using ML-driven independent dealer pricing proxies

032 GitHub stars

04Generates automated sales pitches including overpriced percentages and recovery estimates

05Clusters units by dealership to identify high-value multi-car consignment prospects

06Identifies aged inventory (DOM > 60) across specific regions and ZIP codes

사용 사례

01Creating data-driven sales collateral for auction house consignment representatives

02Identifying local dealerships with high-volume aged inventory for consignment prospecting

03Calculating potential auction fee revenue based on regional wholesale trends