Competitive inventory intelligence
Know your competitors' lots before they know yours.
LotSpy.AI takes a daily snapshot of every competitor's public inventory and tells you exactly what changed — what arrived, what disappeared, what likely sold, and every price move in between.
- New ArrivalRiverside Ford
2023 Ford Explorer XLT
VIN 1FMSK8DH2PGA41182 · $38,995 · 14,208 mi
Day 1 listed
- Price DropNorthgate Chevrolet
2022 Chevrolet Silverado LT
VIN 3GCUDDED4NG512044 · $47,450 → $44,900 (−5.4%)
3rd drop · 61 days advertised
- Likely SoldValley Toyota
2021 Toyota RAV4 XLE
VIN 2T3W1RFV8MC091773 · $29,300 last advertised
Absent 4 scans · 92% confidence
- RemovedRiverside Ford
2020 Ford F-150 Lariat
VIN 1FTFW1E44LFA33108 · $41,995 last advertised
Awaiting confirmation
- Price DropMetro Honda
2022 Honda Pilot EX-L
VIN 5FNYF6H55NB018942 · $36,800 → $35,250 (−4.2%)
78 days advertised
See What Arrived
Every new VIN on a competitor lot, the morning it appears. Year, trim, mileage, price, and the day the clock started.
See What Disappeared
Units that left the lot are flagged Removed first, then promoted to Likely Sold only once repeated scans confirm a healthy feed.
Watch Every Price Move
Full price history per VIN. Drops, increases, percentage change, and how aggressively a store discounts its aging metal.
Understand Your Market
Make and model mix, share of local inventory, turn rate, and the gaps between your lot and everyone else's.
Most tools show inventory. LotSpy.AI shows what changed.
Every scan is stored as an observation, never an overwrite. That history is what makes arrivals, removals, sold inference, and days advertised possible.
Baseline captured
- 412 units observed
- Every VIN, price, mileage stored
- No changes reported yet
First changes detected
- 9 new VINs appeared
- 4 VINs missing → Removed
- 6 used units repriced
Inference sharpens
- 3 removals still absent → Likely Sold
- 1 VIN returned → confidence lowered
- Days advertised now tracked per unit
Every competitor, scored daily.
Riverside Ford · last scan 6:12 AMNew inventory
268
Used inventory
144
Arrivals · 7d
31
Likely sold · 7d
24
Price drops · 7d
18
Avg used price
$31,480
Avg days advertised
47
60+ day units
29
90+ day units
11
Drill into any unit for its full history: first seen, every price event, removal, return, and the confidence behind a Likely Sold call.
Built for the whole store.
Dealer Principal
Market-level movement, competitor volume trends, and where the store is gaining or losing share.
General Manager
Inventory trends, pricing posture, and likely sales activity across every rooftop you compete with.
Used Car Manager
Price drops, days advertised, likely sold units, aging buckets, and acquisition targets. The power user.
New Car Manager
Model availability, trims and colors on the ground, arrivals, and local shortages worth stocking into.
Sales Manager
What just sold nearby, what just arrived, and the exact units customers are cross-shopping today.
Publicly advertised data, collected responsibly.
Only inventory a dealership advertises publicly is collected. No logins, no private systems, no customer data — ever.
Collection honors robots.txt, uses conservative rate limits, and identifies itself. Structured public data is preferred wherever a source provides it.
Every record carries source attribution and an observation timestamp, so any number in the product can be traced back to when and where it was seen.
Pricing
Dealer
$399
per rooftop / month
Daily scans
- Up to 10 competitors
- Daily inventory snapshots
- Price + arrival tracking
- Email alerts
- 12 months of history
Dealer Group
$1,290
per month
Twice-daily scans
- Up to 5 rooftops
- Up to 40 competitors
- Market + comparison dashboards
- Watchlists and saved searches
- Weekly market report
Enterprise
Custom
annual agreement
Priority scan frequency
- Unlimited rooftops
- Unlimited competitors
- API access
- Custom source adapters
- Dedicated support
Stop guessing what moved off the lot down the road.
Tell us your rooftop and your market. We'll set up your competitor set and start the snapshot history.
Request access