AutoIntel
AutoIntel describes itself as offering predictive software for automotive retail, with a suite it calls Predictive Portfolio Management. Its site says the software helps manufacturers, importers and dealer networks steer profitability across product and sales operations.
AutoIntel: Predictive Portfolio Management
Its solutions page describes predictive ordering that matches vehicle orders to market demand, across allocation, ordering, production, wholesale and retail.
| Product or service | Function |
|---|---|
| Predictive Portfolio Management | Software for product and sales decisions. |
| Predictive Ordering | Optimizing vehicle orders against market demand. |
| Demand prediction | Forecasting automotive demand. |
AutoIntel: product details
AutoIntel's home page describes Predictive Portfolio Management for manufacturers, importers and dealer networks, a predictive intelligence platform that connects demand signals, supply data and machine learning to guide product and sales decisions. It names four industry challenges: margin pressure, inventory inefficiency, intensifying competition and the high cost of wrong decisions.
Its solutions begin with Predictive Ordering, which plugs into manufacturer or dealer systems to configure orders automatically, and extend to Predictive Allocation of volume within a market and further solutions earlier in the value chain.
Its solutions page publishes ranges for the benefit per unit: it cites $400 to $600 a unit in added contribution margin from better-targeted options for wholesale, $250 to $400 of added profit from faster turn at retail, and for dealers about $50 from incremental sales, $200 to $300 from less discounting and $50 from lower floor plan costs, noting that actuals validated at premium manufacturers sit at the high end. It says hundreds of thousands of vehicles have been modified and hundreds of millions of dollars of profit generated.
These are vendor figures validated by the vendor, with stated assumptions about baseline volumes and interest conditions. A dealer group or importer should ask for the method, the comparison group and the time period, who owns the order recommendations when they are overridden, and how the product connects to manufacturer ordering systems for its brands.
The company states that its predictive ordering is applied at manufacturers, importers and dealer groups and that implementation proceeds step by step from ordering to allocation and earlier decisions. A dealer should ask which brands it works with, whether recommendations are given at store level or to the manufacturer, and what data the dealer must share, since order configuration and allocation are usually controlled by the manufacturer.
Compare it to your own data.