Looking for feedback on an AI tool for sourcing vehicles (dealer perspective)

[nathan-britten]

I’ve been working on an AI tool that learns how a dealership buys stock and generates a daily shortlist of vehicles from across multiple auction platforms. The goal is to reduce the time spent trawling through listings and instead surface the small number of cars that are most likely to be good buys based on your past purchases and current market data.

It goes a bit beyond basic filters — it applies rules at a make/model level, looks at things like mileage vs age, condition, pricing vs market, and ranks everything into a daily “top picks” list.

Roughly how much time are you spending each day going through listings? Do you think it would realistically save you time, or would you still want to go through everything yourself?

More details on how it works here:
Vehicle Recommendation Engine | Boring Automation

 

[nathan-britten]

If anyone is a dealer and keen to give some open & honest feedback give me a shout

 

[ollieheart]

I’ve been working on an AI tool that learns how a dealership buys stock and generates a daily shortlist of vehicles from across multiple auction platforms. The goal is to reduce the time spent trawling through listings and instead surface the small number of cars that are most likely to be good buys based on your past purchases and current market data.

It goes a bit beyond basic filters — it applies rules at a make/model level, looks at things like mileage vs age, condition, pricing vs market, and ranks everything into a daily “top picks” list.

Roughly how much time are you spending each day going through listings? Do you think it would realistically save you time, or would you still want to go through everything yourself?

More details on how it works here:
Vehicle Recommendation Engine | Boring Automation

I like where you’re going with this… sourcing is honestly one of those areas where dealers feel the pain daily, especially with how fragmented inventory has become.
I’ve seen something similar being explored with tools like Spyne on the ops side, and one thing that keeps coming up is this… it’s not just about finding cars, it’s about how usable that data is once you surface it. If a tool throws options but doesn’t help prioritize or act on them, it kind of stalls there. Also curious how you’re thinking about quality vs quantity. A lot of sourcing tools can surface a ton of vehicles, but dealers usually care more about “buyable” units… right price, right condition, right turn potential. Are you filtering for that or mostly focusing on volume right now?
Another angle I’d think about is workflow. From what I’ve seen, adoption really depends on whether it fits into what the used car manager is already doing… not something they have to log into separately and figure out. Are you plugging into existing processes or more of a standalone tool right now?