Import your stock, see it as a network of connections. Find gaps that lose you customers, generate staff picks that surprise, evaluate bulk collections before you buy.
Import a want-to-buy collection. Get instant graph analysis showing which records fill gaps in current inventory and which connect to trending threads.
See what's missing. 'You have post-punk and dub but nothing connecting them. These 5 records would bridge that gap and cross-sell both sections.'
'If you liked X, the record that makes it mean something different is Y.' Architecture-based recommendations, not genre proximity.
Visualize your inventory as thematic threads. Which genres cluster? Which decades are over-represented? Where are the dead zones?
Market values for your entire inventory. Identify records priced below market, records gaining value, and records to discount.
Which records sell together based on thread overlap? Rearrange your bins based on connections, not just genre.
(Example testimonials — real quotes coming soon)
“We bought a 500-record collection and evaluated it in 10 minutes instead of 3 hours. The graph showed us which records would actually sell.”
Example
Record shop buyer
“The staff pick generator creates recommendations our team never would have made. Customers love being surprised.”
Example
Independent record store owner
“We reorganised our bins based on thread connections instead of genre. Sales of obscure titles went up 40%.”
Example
Specialist vinyl shop
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