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Auction Industry / Workflow AutomationNewbloom AI Proprietary Platform · 15 Paying B2B Customers

Lot Lingo: AI-Powered Auction Workflow Platform

~500K
Lots Processed
15
Paying B2B Customers
5 days → 1 day
Cataloging Time
Lower threshold
Workflow Economics

The Challenge

Auction houses face a recurring administrative burden every time they prepare an auction: researching items, writing titles and descriptions, categorizing lots, assigning taxability and shippability, organizing photos, and preparing platform-specific exports. For high-volume auction businesses, this work creates a major bottleneck that limits how many auctions can be run and which lower-value items are economically worth listing.

Users

Auction house staff (cataloguers, photographers, owners) at 15 paying B2B customers, plus their downstream bidders.

Workflow

Photo capture → AI-generated titles, descriptions, categories, taxability, and shippability → human review and approval → platform-specific export to K-BID or HiBid.

Constraints

Auction listings affect buyer expectations, seller relationships, taxability, and shipping obligations, so AI output must be reviewable and correctable. Workflows must work on mobile in the field, support voice input, and integrate with the platforms customers already use.

AI Capabilities Implemented

Image Analysis

Computer vision for photo-driven lot creation, including categorization and shippability assessment from images.

Document Transcription

In-app image editing and background removal for consistent listing presentation.

Voice Transcription

Voice notes captured while photographing lots; voice-driven edits and information capture.

Additional AI Features

  • AI-generated lot titles and descriptions tailored to auction conventions
  • Auction-level title and description generation from full lot context
  • Automatic categorization aligned to K-BID and HiBid taxonomies
  • Taxability assignment with human-reviewable defaults
  • Shippability assignment that flags oversized or impractical items
  • Collaborative AI assistant that can revise lots and add information conversationally
  • Human-in-the-loop review and approval at every stage

Results

~500K
Lots Processed
AI-assisted listings created across approximately 2,000 auctions
15
Paying B2B Customers
Strong retention with ~80% trial-to-paid conversion, grown through word of mouth
5 days → 1 day
Cataloging Time
Your Turn LLC reported cataloging a large home dropped from ~5 days to 1
Lower threshold
Workflow Economics
Faster cataloging let one customer profitably include lower-value lots that were previously not worth listing

Technical Architecture

Frontend

Web and mobile-first capture workflows with collaborative editing

Backend

AI orchestration layer with workflow state, voice, and image pipelines

Database

Operational database for auctions, lots, customers, and review state

Storage

Cloud object storage for photos and processed image artifacts

Integrations

  • K-BID auction platform export workflows
  • HiBid auction platform export workflows
  • Multiple AI vendors (vision, text generation, voice)
  • Image editing and background-removal services

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