Marketdatathatdrivesdecisions
Every dealer has hunches about what the market wants. The best dealers validate those hunches with data before committing capital. Market Intelligence replaces gut feeling with evidence.
Competitor Price Monitoring
Track pricing changes across your competitive set in real time. Get alerts when a competitor lists a vehicle matching your stock at a lower price, or when market-wide pricing shifts on a model you carry.
Market Demand Prediction
AI models analyse search volume, enquiry rates, days-on-market, and seasonal patterns to predict demand by make, model, and region. Know what your market will want next month, not just what it wanted last month.
Buyer Behaviour Insights
Aggregated platform data reveals what buyers research before enquiring, how many vehicles they compare, what features they filter for, and how long the decision journey takes by vehicle type.
Inventory Gap Analysis
Cross-reference what your market is searching for against what you actually have in stock. Identify high-demand vehicles you are missing and low-demand vehicles that are ageing on your lot.
Price Positioning Recommendations
For every vehicle in your stock, see where your asking price sits relative to comparable vehicles in the market. Get specific recommendations — price to sell fast, price for margin, or hold for demand uptick.
Regional Demand Breakdown
Demand data broken down by state and postcode. A diesel ute that sits for 90 days in metro Sydney might sell in a week in regional Queensland. Know where the demand is and price accordingly.
Demand before it peaks
The AI doesn't just tell you what's popular today — it forecasts what will be popular in 30, 60, and 90 days. Acquire the right stock before your competitors realise the market has shifted.
Explore demand predictionMonitor and respond
Your competitors adjust pricing constantly. Without monitoring, you are always reacting. With competitive intelligence, you see changes as they happen and respond before your customers notice.
See competitive intelligenceGut Feeling vs Data-Driven Pricing
Under The Hood
Market Intelligencedeep dive
Market data is collected from multiple first-party and aggregated sources — platform search behaviour, enquiry patterns, listing data, and pricing feeds. The pipeline processes over 500,000 data points daily, deduplicating, normalising, and enriching records before they enter the analytics layer. Latency from source to insight is under four hours.
Demand prediction uses an ensemble of time-series models trained on 24 months of historical market data. Features include search volume trends, enquiry conversion rates, seasonal indicators, economic signals, and inventory supply levels. Models are retrained weekly and validated against a holdout set with a target accuracy of 90%+ at the 30-day horizon.
Competitor pricing is monitored through automated data collection from public listing platforms. Price changes are detected within one hour of publication. Alerts are triggered based on configurable rules — percentage change thresholds, absolute price drops, or new listings matching your stock profile. All monitoring is passive and fully compliant.
Demand data is geographically segmented using postcode-level aggregation. Regional models account for population density, median income, urban vs rural driving patterns, and local industry profiles. A vehicle that performs differently in Perth versus Melbourne gets separate demand scores, pricing recommendations, and turn-time estimates.
All market intelligence is derived from aggregated, anonymised data. No individual buyer behaviour is trackable. Competitor pricing data is sourced exclusively from publicly available listings. Dealer-level data is never shared with other dealers. The platform adheres to the Australian Privacy Act and industry data-sharing codes of practice.