MyMonthlyCar

Turn idle dealer inventory into monthly rental revenue with AI-driven insights

Igor Dobrianskyi looks at a dealership lot and sees millions of dollars depreciating in plain sight.

3 min readTechCrunch
Turn idle dealer inventory into monthly rental revenue with AI-driven insights

When Igor Dobrianskyi looks at a car dealership lot, he sees a liability that most dealers accept as inevitable. We see a smarter use of data. MyMonthlyCar turns idle inventory into a monthly rental revenue stream, and it deserves attention not just because it solves a logistical problem, but because it reframes how we think about underutilized assets. This is the kind of practical, AI-driven insight that legacy spreadsheet tools were never designed to surface, and it points directly at what happens when you let data tell you what to do instead of forcing it into rows and columns.

Dealers have always known that cars depreciate the moment they hit the lot. What they lacked was a system to match that depreciation curve with real demand from people who need a vehicle for three months, not three years. MyMonthlyCar uses AI to identify which cars are sitting too long and which renters would pay a premium for short-term access. That is not a revolutionary concept, it is a better spreadsheet. Compare this to how Microsoft Container Apps Express Launches with Instant Startup and Auto-Scaling solves a similar resource-idling problem in cloud computing. Both platforms recognize that idle capacity is a cost, not a given, and both use automation to reallocate it before it becomes waste. The difference is that MyMonthlyCar operates in a physical, slow-moving industry where most dealers still manage inventory by gut feeling. That is where the opportunity lives.

The platform also raises an interesting question about ownership. Renting a car month-to-month with an option to buy blurs the line between leasing and owning, and it mirrors a broader shift we are seeing across industries. Consider how AI agents reshape hardware design as Flow Engineering secures $750M valuation, both stories share a common thread: AI is being used to optimize decisions that were previously made on intuition. Flow Engineering automates hardware design; MyMonthlyCar automates inventory utilization. Neither replaces human judgment, but both compress the time it takes to arrive at a profitable decision. For dealers, that means less time staring at a lot and more time acting on what the data already knows.

The specific detail to watch is how MyMonthlyCar handles pricing. If the AI can dynamically adjust rental rates based on vehicle age, mileage, and local demand, it could create a secondary market that competes directly with traditional leasing companies. That would pressure dealers to adopt the platform or risk losing short-term rental customers to competitors who already have it. For now, the startup is proving that idle inventory is not a problem, it is a dataset waiting for the right query.

From TechCrunch

When Igor Dobrianskyi looks at a car dealership lot, he doesn't see rows of cars — he sees millions of dollars just sitting there, depreciating, while people who only need a car for a few months are stuck paying too much for too little choice, so he built MyMonthlyCar, a platform that lets dealers rent out their idle used cars month to month (with an option to buy), and it's now one of the startups showing off at this year's TechCrunch Disrupt, running October 13 to 15 in San Francisco.

Read the original at TechCrunch