AutoIntel provides a Predictive Portfolio Management platform that uses real‑time, hyper‑local demand and supply forecasting to automate vehicle ordering, allocation, and configuration decisions for OEMs, importers, and dealer networks. By integrating directly with OEM and dealer systems, the AI‑driven solution aligns inventory with market demand, reducing manual effort, discounting, and capital tied up in unsold stock while boosting margins and inventory turnover.
Funding
Funding not disclosed
Founders
Product
Problem
Automotive manufacturers, importers, and dealer networks face tight margins, slow inventory turnover, and high costs from misaligned vehicle configurations and manual ordering processes, leading to excess discounting and capital tied up in unsold stock.
Solution
AutoIntel offers a Predictive Portfolio Management platform that uses real-time, hyper‑local demand and supply forecasting to optimize vehicle ordering, allocation, and configuration decisions before production. The system integrates with OEM and dealer systems to automatically generate and adjust orders based on predictive analytics, reducing manual effort and last‑minute procurement costs. By aligning inventory with actual market demand, the platform improves production stability, accelerates inventory turn, and increases contribution margins for both OEMs and dealers. An AI‑driven Co‑Pilot provides actionable analytics and automated order modifications, enabling users to make data‑backed decisions across the order‑to‑retail chain.
Target Audience
Primary customers are automotive OEMs, importers, and large dealer networks that need to improve vehicle configuration, ordering, and allocation efficiency to boost margins and inventory turnover.
Features
- Data platform that ingests competitor data, sales history, DMS records, registrations, pipeline information, web signals, and LLM‑derived insights for demand‑supply modeling
- Real‑time, hyper‑local predictions of vehicle turn and retail profitability for every configuration at each dealer
- Portfolio optimization engine that allocates inventory to maximize end‑to‑end sales profitability across the dealer network
- Automated order modification workflow powered by the AutoIntel Co‑Pilot, delivering analytics‑driven recommendations with minimal manual input
- Integration hooks for OEM and dealer systems to seamlessly plug in predictive ordering and allocation capabilities
- Quantifiable impact reporting showing per‑unit profit uplift ($250‑$600) and reductions in discounting, floor‑plan costs, and manual labor