Use Cases

• Leverage dynamic pricing models based on real-time market data, historical sales, inventory levels, and competitive listings can help dealers set optimal prices.

• Analyze sales pricing from all pricing books, as well as, taxes, fees, and market trends to optimize vehicle pricing in real time, allowing you to maximize profits while staying competitive.

• Predict the fair market value of a vehicle based on its year, make, model, trim, style, condition, mileage, and other key features.

Example: Pricing Analysis by Vehicle Type and State

• Forecast demand for different vehicle types, helping dealers adjust their inventory mix proactively, reduce holding cost, and drive revenue.

• Optimize inventory from sales data, market trends, and local demand, suggesting which vehicles to stock up on and which to phase out.

• Analyze trends from the data to predict which vehicles are likely to sell quickly based on factors such as model popularity, regional preferences, and economic indicators.

Example: Inventory Turnover Rate by Model and State

• Automate the process of entering vehicle data into a dealership’s CRM system, triggering personalized marketing campaigns based on the inventory data, such as promoting vehicles that have been in inventory for too long.
• Drive personalized customer interactions based on past behavior, preferences, and engagement, leading to improved customer retention and upselling opportunities.
• Identify potential buyers’ preferences and suggest vehicles they are more likely to purchase, increasing the effectiveness of email campaigns, online advertisements, and personalized offers.

• Predict when a vehicle is likely due for maintenance or is at risk of developing certain issues, enhancing the value of the vehicle’s condition report.
• Automatically sync and update patch missing damages across vehicle history reports (CarFax and AutoCheck).

Detect rising or falling popularity of certain vehicle types, brands, or features, helping dealerships adjust their inventory and marketing strategies accordingly.

Predict the likely auction price of a vehicle based on its history, condition, and market trends, aiding buyers to programatically bid at wholesale auctions.

• Analyze market demand and past auction performance to recommend the best vehicles to acquire for resale.
• Automate the wholesale bidding, purchasing, arbitration and transportation processes across wholesalers nationwide.

Leverage the power the Drivly Commerce Platform to streamline the total loss process, increasing customer satisfaction and retention.

By analyzing vehicle data, customer profiles, and historical claims, offer your customers a personalized insurance policy in real-time, optimizing your risk assessment and pricing.

Scrutinize claims and policy applications to detect anomalies or patterns indicative of fraudulent activity.

Automate the claims processing from collision centers and unify collision repair documents to streamline the claims operations, reducing processing time and costs.

Analyze customer DTI, PTI and LTV in real-time, including purchase history to predict credit risk and automate loan approvals.

Dynamically adjust interest rates and loan terms based on an individual’s risk profile and market conditions, maximizing profitability while offering competitive rates.

Deploy advanced AI Sales Agents for instant customer service, checking vehicle availability, guide users through the buying process end-to-end, and offer post-purchase support.

Leverage the power of the Drivly Commmerce Platform to create a virtual dealership in the cloud and buy and sell cars across any application.

Match customers with vehicles based on their needs, preferences, driving habits, and budget. Analyze market availability and suggest the best vehicles.