Stocking Recommendations
Historic store performance, profit, regional data and consumer trends allow dealers to identify the highest-grossing new or used vehicles with high-demand trim levels and options.
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A variety of data points generate customized stocking recommendations for maximum profitability.
DMS Profit Analytics
A sophisticated integration that merges historical sales data with F&I profit information, providing key insights into ROI, past performances and trends. This integration enables better-informed decision-making based on historical data analysis.
Stocking Report
This report can help keep you from buying inventory that doesn’t sell well in your market. Using the industry’s most comprehensive true-market data, the Stocking Report analyzes recent and seasonal consumer trends to generate an ideal inventory mix based on your retail strategy.
Velocity Report
Based on vehicle turn rate and market saturation, velocity reports compile complex true-market data points into an easy-to-read format that enables you to identify and source new and pre-owned units with the highest retail potential in your market.
Group Velocity Analytics
Eliminate the guesswork and headaches of managing broad-scale inventories. Group Velocity Analytics utilizes a variety of data points to show you a clear picture of how you should allocate your inventories and how each of your locations is performing with every type of vehicle that comes on your lot.
From pricing, to appraisals, to street purchases, Dealerslink is the only tool we use.
KC Langenstein
GM / Marburger Auto Group
Former Provision and Conquest User
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Do You Have Questions?
A list of frequently asked questions to help you understand how it works.
1. What are New and Used Car Stocking Recommendations from Dealerslink?
Inventory reporting that helps dealerships identify the highest-grossing vehicles with high-demand trim levels and options based on historic store performance, profit, regional data, and consumer trends.
2. How do Stocking Reports benefit my dealership?
The Stocking Reports analyzes recent and seasonal consumer trends using comprehensive market data to generate an ideal inventory mix, preventing the purchase of inventory that does not sell well in your market.
3. What is the DMS Profit Analytics integration?
This integration merges historical DMS sales F&I profit data, providing insights into ROI, past performances, and trends, enabling better-informed decision-making based on historical data analysis.
4. What is Velocity Reporting?
Velocity Reports compile true-market data points into an easy-to-read format based on vehicle turn rate and market saturation, helping you identify and source new and pre-owned units with the fastest turn in your market.
5. How does Group Velocity Analytics work?
Group Velocity Analytics uses a variety of data points to provide a clear picture of how to allocate inventories across multiple locations, showing the performance of each vehicle type at any given rooftop.
6. How can stocking recommendations improve my inventory management?
By utilizing historical performance data, market trends, and consumer demand insights, Stocking recommendations from Dealerslink help optimize your inventory for maximum profitability and efficiency.
7. Can I request a demo of the Stocking Recommendation Reports?
Yes, you can request a demo on the Dealerslink website to see how the Stocking Recommendations tool can benefit your dealership.
8. How do stocking recommendations prevent inventory aging issues at my dealership?
The system uses data-driven insights to avoid stocking vehicles that do not perform well in your specific market, reducing the risk of slow-moving inventory.
9. What kind of support is available for using Stocking Recommendation?
Dealerslink offers comprehensive support, including training and customer service, to ensure you get the most out of the Stocking Recommendation reports.
10. How frequently are the recommendations updated?
The recommendations are continuously updated based on the latest market data and trends to ensure your inventory remains optimized for current consumer demands.
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